Archives: Press Releases

New transformation, security and customer success leadership appointments reflect continued investment in enterprise growth

SAN JOSE, Calif. – Feb. 3, 2026 – Couchbase, Inc., the operational data platform for AI, today announced the expansion of its executive team to support its customer success and profitable growth strategy. Joe Remington has joined as Chief Business and Transformation Officer, Eddie Garcia as Chief Information Security Officer and Chelsea Navo as Senior Vice President of Customer Success.

This expansion accelerates Couchbase’s mission to help customers move from strategy to results with greater speed and confidence, especially as they modernize and build AI ready data foundations. As enterprises navigate real time, AI driven innovation and rising complexity, they need a trusted partner with proven expertise, established best practices and the thought leadership to drive greater impact. These new roles strengthen our commitment to long term customer value, empowering organizations to deliver successful projects, reduce risk and unleash the power of their data in new ways.

Remington is a technology and business executive with a strong background in guiding strategic growth, operational excellence and organizational transformation across the software industry. Drawing on over 20 years of leadership spanning corporate development, finance, strategy and operations, he brings a multidisciplinary approach to optimizing performance and accelerating value creation. Remington joins Couchbase from symplr, where he served as Chief Business Officer leading company-wide initiatives to strengthen execution, improve operational efficiency and support sustainable, profitable growth. Prior to symplr, he held senior leadership roles at Vertafore, Aspect Software and DaVita.

Garcia is an experienced cybersecurity and technology executive with deep expertise in developing, leading and implementing scalable, high-impact information security strategies for enterprises. With more than two decades of experience across security architecture, product security, risk management and engineering leadership, he brings a holistic and operational perspective to safeguarding mission-critical systems and data. Garcia joins Couchbase from Macrometa where he served as Chief Information Security Officer, guiding cross-functional teams across multiple technology disciplines with a security-first integration approach. He also held Chief Information Officer and Chief Information Security Officer roles at Cloudera.

Navo is a seasoned technology and data executive with more than 20 years of experience driving company-wide transformation and measurable business outcomes for organizations ranging from emerging enterprises to global institutions. Her background spans enterprise solution design and data architecture, with extensive experience in modernization initiatives and the delivery of enterprise-grade AI solutions. Navo joins Couchbase from Booz Allen, where she most recently served as Executive Director of Federal Data and AI Solutions. Previously, she held senior data and technology leadership roles at DataStax and Lockheed Martin.

“We’re thrilled to expand our team with leaders who have driven meaningful change with the know-how to advance transformation, security and customer outcomes,” said BJ Schaknowski, CEO at Couchbase. “With Joe, Eddie and Chelsea on the leadership team, we are strengthening the foundation for profitable growth at Couchbase. Their leadership will help us execute our strategic priorities, scale the business with confidence and deliver differentiated value to customers as data and AI demands continue to accelerate and evolve.”

Single AI-native Database Platform Unifies Operational Data, Vectors and Models, Enabling Enterprises to Run Secure, Governed, High-performance AI Applications at Scale

SAN JOSE, Calif. – Dec. 10, 2025 – Couchbase, Inc., the developer database platform for critical applications in our AI world, today announced the general availability of Couchbase AI Services, a comprehensive suite of capabilities that enables enterprises to build, deploy and govern agentic AI applications with the security, performance and reliability required for production environments. By bringing together data and models in a single unified platform, Couchbase eliminates the complexity and fragmentation that has kept AI applications from moving from prototype to production.

“Customers moving from experimenting with AI agents to operationally deploying them need a robust solution for doing so,” said Barry Morris, Chief Product and Strategy Officer, Couchbase. “With AI Services we provide developers with an end-to-end platform to build intelligent applications that are secure, trustworthy and performant. Customers developing agentic applications at scale benefit from a simplified and repeatable process, resulting from AI capabilities being incorporated coherently across the Couchbase product suite.”

Everything Developers Need in One Database Platform

Enterprises face new challenges in moving generative AI applications to production due to difficulties around integrating diverse data types, concerns about security and privacy with publicly hosted LLMs, the risk of AI hallucinations and the complexity of managing rapidly evolving AI tools while maintaining control over data, prompts and validation.

Couchbase addresses these challenges with a unified platform that combines secure model hosting through integration of NVIDIA AI Enterprise – including support for NVIDIA NIM microservices and NVIDIA Nemotron models – and data processing capabilities for structured and unstructured data. The platform features automatic vector creation, storage and search; a unified Agent Catalog for governance and traceability; and intelligent agent memory that enables contextual interactions across sessions. Built-in AI Functions enable SQL++-based analysis directly within applications, streamlining development while maintaining security and performance at scale. These services enable developers to build trustworthy, accountable agentic systems at scale – with no surprises. Unlike fragmented approaches that can require multiple data sources and tools, Couchbase eliminates vendor complexity and reduces access latency for faster, more cost-effective LLM engagements.

Building Trust into Every AI Interaction

AI Services provide organizations with assurance that autonomous agents make reliable decisions with sensitive data. With built-in governance and validation capabilities that enable developers to create “guardrails” around AI interactions, AI Services verify outputs against enterprise data and business rules before actions are executed. This validation framework allows organizations to deploy AI agents confidently, knowing that every decision can be traced, audited and validated against established policies. By keeping data and models within a single governed platform, enterprises maintain control over agentic operations at speed and scale, with confidence.

“At SWARM Engineering, we help agri-food and industrial companies save millions of dollars by optimizing complex supply chains, logistics and workforce planning using AI,” said Joe Intrakamhang, CTO, SWARM Engineering. “To deliver that value, we need a database platform that makes AI development faster and more reliable. Couchbase AI Services streamlines the entire RAG pipeline, which means our team can focus on solving supply chain challenges rather than wrestling with infrastructure. Having everything in one platform not only accelerates our development velocity but also gives us the control and security our enterprise customers require. When you’re dealing with mission-critical planning decisions that impact people and business, you need AI applications built on a foundation you can trust.”

AI Services are available now. For more information on how AI Services help customers build agentic AI applications, review this blog or try AI Services here.

Industry Support

“The next era of enterprise productivity will be driven by agentic AI applications, and organizations require AI infrastructure that ensures security, performance and governance for deployment at scale,” said John Fanelli, VP of Enterprise Software, NVIDIA. “Couchbase’s integration of NVIDIA NIM microservices and Nemotron models into their unified developer platform accelerates the journey for developers to build trusted, production-ready AI agents.”

“Together with Couchbase, we are revolutionizing how developers build and evaluate AI agent applications by creating self-improving feedback loops and enabling things like online evals,” said Noah Smolen, Head of Partnerships, Arize AI. “Leveraging our next-generation observability platform Arize AX, along with Couchbase’s unified developer database platform, customers can confidently deploy and monitor RAG and multi-agent systems at scale.”

“Enterprises can no longer afford to let the majority of their unstructured data sit idle,” said Brian Raymond, CEO, Unstructured.io. “Our partnership enables customers to ingest and vectorize unstructured data directly into Couchbase AI Services, transform documents with just a few lines of code and provide the trusted grounding required for high-quality RAG and agentic AI applications.”

“Enterprise data is foundational to moving agentic AI initiatives into secure, production-ready environments, and Couchbase AI Services provide the essential capabilities for that journey,” said Ronen Schwartz, CEO, K2view. “Our partnership enables customers to generate high-quality synthetic data from Couchbase and integrate it with additional enterprise sources, creating governed, privacy-preserving datasets that provide the trusted grounding required for agentic AI applications.”

To learn more about Couchbase’s AI partner ecosystem, review this blog. To join the Couchbase AI Accelerate Partner Program, click here.

Additional Resources

• For developers ready to build production-grade agentic applications, Couchbase offers comprehensive documentation, tutorials and reference architectures at docs.couchbase.com/ai.
• Learn how Couchbase Hyperscale Vector Index delivers breakthrough performance and speed against MongoDB in an independent billion-scale benchmark test.
• Learn why so many customers are making the switch from MongoDB to Couchbase’s unified developer database platform by registering for this on-demand webcast.

Barry Morris and Deirdre Toner join Couchbase to advance product innovation and customer-focused execution

SAN JOSE, Calif. – Dec. 9, 2025 – Couchbase, Inc., the developer database platform for critical applications in our AI world, today announced two senior leadership appointments that strengthen the company’s focus on accelerating its enterprise customer growth trajectory. Barry Morris has joined as Chief Product and Strategy Officer and Deirdre Toner has joined as President and Chief Commercial Officer.

Morris is a proven tech executive and data infrastructure industry veteran, with more than 30 years experience leading U.S. and European software businesses. He has scaled organizations to more than $1 billion in ARR, has built multiple data management companies, and brings extensive experience building category leaders. A customer-focused executive with a deep technology background, he most recently held leadership positions at Google and Amazon Web Services (AWS).

Toner brings more than 30 years of experience driving high-growth sales teams and business development across companies of all sizes. Her background spans applications, data and infrastructure, with deep expertise in machine learning and generative AI. A customer-centric leader with a strong focus on scalable results, she joins Couchbase from AWS where she most recently served as General Manager of U.S. Specialty Sales. Toner has also held senior roles at DataStax and SAP.

“Barry and Deirdre bring incredible experience that aligns with where we are headed as a company, building on the strong foundation our team has created,” said BJ Schaknowski, CEO at Couchbase. “Their leadership will help strengthen our focus on product innovation, go-to-market excellence, world-class culture, delighting customers and operational discipline.”

“Data sits at the center of competitive advantage in an AI-driven world and strengthening data strategies for AI is now essential for every organization,” said Morris. “I joined Couchbase because of its long-standing commitment to innovation and its proven success across major enterprises. The company is uniquely positioned to support data and AI modernization at any scale, and I look forward to contributing to that mission.”

“Customers tell us they are under tremendous pressure to ready their data for AI in a manner that delivers real outcomes,” said Toner. “They want technology partners who understand their challenges and can help them move forward with confidence. Couchbase has built the scalable foundation required in this new AI-first era and proven its value across some of the most demanding environments. I’m excited to join because I believe in Couchbase’s mission and in the opportunity to support customers as they navigate the demands of today’s AI-driven landscape.”

SAN JOSE, Calif. – Nov. 17, 2025 – Couchbase, Inc., the developer data platform for critical applications in our AI world, announced today that it has achieved Amazon Web Services (AWS) Travel and Hospitality Competency status. This differentiates Couchbase as an AWS Partner that has demonstrated success in accelerating digital transformation for travel and hospitality customers, across marketing and sales to core operations, customer experience, finance, IT and more.

This designation recognizes Couchbase’s deep expertise and technical proficiency in helping travel and hospitality customers leverage AWS to accelerate industry modernization and innovation — from behind-the-scenes operational efficiencies to guest-facing customer experiences.

The AWS Travel and Hospitality Competency helps customers in the industry to more easily select skilled AWS Partners to help them drive modernization efforts with confidence. To receive the designation, AWS Partners undergo a rigorous technical validation process, including a customer reference audit.

“Couchbase is proud to achieve AWS Travel and Hospitality Competency status,” said Gaurav Dhall, Global VP of Partnerships at Couchbase. “This designation is a testament to our team’s dedication to providing travel and hospitality customers with comprehensive end-to-end solutions that enable them to build AI-powered real-time applications that are always secure, reliable and fast — even without internet connectivity. By leveraging the agility, breadth of services and pace of innovation that AWS provides, we’ll continue to help our customers achieve their business transformation goals.”

With years of experience in the travel and hospitality industry, Couchbase powers mission-critical applications with an always-on developer data platform built for scale and speed. It delivers industry-leading performance and high availability, while providing unmatched price-performance, flexible licensing and operational transparency to help customers reduce total cost of ownership.

Additional Resources

• Learn how travel and hospitality customers, including Marriott, United Airlines, Carnival and Amadeus, are using Couchbase and AWS to deliver always-on, premium customer experiences.
• Learn how travel and hospitality companies are using Couchbase and AWS to build secure, agentic AI applications at scale here.
• For details on how Couchbase is enabling companies in the sector to overcome key challenges, deliver better customer experiences and reduce operational complexity, click here.

This partnership supports key industries such as finance, telecommunications, retail, manufacturing and public sectors through an integrated platform designed for Zero-ETL, JSON and high-speed APIs, combined with cloud and API implementation expertise

Tokyo – November 13, 2025 – Couchbase, Inc., the developer data platform for critical applications in our AI world, and SIOS Technology, Inc., a leading solution provider in the digital transformation (DX) technology field including cloud computing, have entered into a strategic partnership for the Japanese market. Together, the two companies aim to support Japanese enterprises in achieving both “uninterrupted core systems” and “agile AI and digital utilization.”

In the Japanese market, businesses are required to ensure 24/7/365 stable operations while also responding swiftly to rapidly changing market demands. However, traditional systems relying on multiple databases and ETL processes have led to data fragmentation, delays and high costs, hindering the adoption of AI, personalization and real-time decision-making.

This collaboration aims to address two key challenges faced by Japanese enterprises: integrating increasingly complex data platforms and achieving uninterrupted systems. Couchbase offers an integrated data platform with Zero-ETL, JSON support and high-speed APIs, combining transaction processing, analytics, full-text search, vector search, and mobile and edge support into a single platform. This enables businesses to transform data into value within seconds. Meanwhile, SIOS Technology meets customer needs for scalability and response speed in API and AI ecosystem design solutions, and provides services that meet a wider range of system requirements. By combining their strengths, the two companies will optimize Couchbase’s next-generation developer data platform for the Japanese market, ensuring a secure and efficient implementation and operational framework.

Industry-specific contributions:

• Finance: Enhancing customer experience and risk management by delivering real-time credit scoring, fraud detection and next-best-action proposals in sub-seconds.
• Insurance: Integrating contract, accident and health check data via Zero-ETL to enable instant claims assessment and roadside assistance.
• Telecommunications: Supporting customer experience apps and billing platforms with mobile infrastructure that remains operational even offline.
• Retail and distribution: Integrating inventory, purchasing and behavioral data to execute personalized searches and provide forecasting in real time.
• Manufacturing and public sectors: Integrating IoT, sensors and business applications to enable on-site predictive maintenance and immediate service arrangements.

Moving forward, the two companies will co-host industry-specific seminars and technical workshops to share the latest insights and use cases with the broader market. Additionally, they will strengthen domestic technical support systems to create an environment where developers and operators can confidently utilize next-generation data platforms, thereby accelerating innovation in the Japanese market.

Tsukasa Nihei, corporate vice president of SIOS Technology, Inc. said, “Our partnership with Couchbase is extremely important for our API solutions, which focus on building API and AI infrastructure and IoT systems that handle large volumes of data. Couchbase is ideal for API gateways and microservice architectures that process large volumes of data in real time. Through this collaboration, we will combine our advanced integration technology with Couchbase’s innovative database platform to provide our customers with truly valuable API solutions that directly contribute to the success of their digital businesses.”

Manabu Oura, country manager of Couchbase Japan K.K. added, “The challenge for Japanese enterprises lies in how to integrate complex and fragmented data platforms while achieving both stability and agility. Through our collaboration with SIOS Technology, we aim to realize uninterrupted systems and responsive data experiences in key industries such as finance, telecommunications, retail, manufacturing and public sectors, accelerating DX and AI adoption.”

New JavaScript Support, Enhanced Peer-to-Peer Sync and Multi-Region Resilience Eliminates Integration Complexity and Downtime Risk for Mobile AI Applications Operating in Disconnected Environments

SAN JOSE, Calif. – Nov 12, 2025 – Couchbase, Inc., the developer data platform for critical applications in our AI world, today announced significant advancements to the Couchbase Mobile platform, which makes it possible to run AI-powered applications on devices operating at the disconnected edge. The introduction of JavaScript support for Couchbase Lite allows the embedded database to run in any web browser, creating a universal client that can operate anywhere regardless of internet connectivity. This enables offline-first browser-based web apps and unified data synchronization across web, mobile, custom hardware and desktop applications. New advances in peer-to-peer (P2P) data synchronization include device auto-discovery that adapts to dynamic network topologies and network auto-switching capabilities that adjust as users enter or leave networks. This powers offline collaboration use cases at the edge. Other enhancements to core capabilities enable deployment resilience and seamless failover, allowing customers to deliver applications that are always fast and available, with or without the internet.

“Building AI-powered applications for the edge means being able to deliver fast, personalized and always-available experiences, even in completely disconnected environments. The latest enhancements to Couchbase Mobile help developers build and ship applications faster, and ensure architects provide continuous uptime no matter what,” said Matt McDonough, SVP of Product at Couchbase. “With more than a decade of bringing mobile database innovation to production applications worldwide, these advancements provide customers with the most comprehensive mobile and edge support in the industry. And while other database vendors are deprecating their mobile support due to the inherent complexity, Couchbase is accelerating its mobile and edge capabilities to include browser-based JavaScript applications.”

Always-On Apps Drive Business Continuity

Users increasingly engage with AI applications on edge devices, often moving through areas with limited or no internet connectivity, which presents challenges for cloud-only based solutions. Forrester found that almost half of enterprise business and tech professionals view increasing the use of edge technologies as a top priority for IT teams over the next year, emphasizing that consistently delivering reliable mobile experiences at the edge is essential for business success. This requires AI-capable applications that are resilient enough to allow data synchronization between edge devices – even in internet dead-zones – while automatically adapting to changing network conditions.

Aptos, a global leader in unified commerce solutions for retailers, relies on Couchbase to power its modern, cloud-native point-of-sale (POS) technology used by popular retail brands worldwide. The company leverages Couchbase Capella™ to power Aptos ONE, its retail experience platform, providing them the freedom to transact beyond the cash wrap counter, a key differentiator of their offering.

“Reliable data synchronization from cloud to retail store devices is essential for our customers, who need applications that always work, regardless of internet availability,” said John Carney, VP, Head of Architecture at Aptos. “Couchbase Mobile’s peer-to-peer replication capabilities allow us to provide the always-on experience retailers demand with low TCO. Moving to Capella delivered over $1 million in annual savings while reducing our infrastructure footprint from 12 deployments with 100+ nodes to a single deployment with 31 nodes.”

Unified Platform Eliminates Integration Complexity and Downtime Risk

Organizations building AI applications for mobile face a costly dilemma: cloud-only database platforms rely on the internet, creating revenue risk when connectivity fails, while mobile-only embedded databases lack a scalable backend consolidation server, requiring expensive custom integration with enterprise cloud databases. Both approaches force development teams to integrate multiple technologies to achieve end-to-end data synchronization — adding IT complexity, slowing time to market and driving up total cost of ownership.

Couchbase Mobile eliminates this complexity with a unified solution that seamlessly integrates data sync from cloud to edge to device to web. New capabilities include:

• Couchbase Lite for JavaScript: This major new capability allows developers to embed the Couchbase Lite database to browser-based web apps to eliminate internet dependencies. Local data processing makes web apps faster, ensures they’re always available, makes them more secure and less prone to data loss, and creates a unified app experience using Capella App Services and Sync Gateway to synchronize web apps with the Capella Database-as-a-Service and other Couchbase Lite mobile applications. Learn more here.
• Couchbase Lite Peer-to-Peer Sync advancements: This longstanding Couchbase Mobile feature now includes out-of-the-box device auto-discovery, mesh support that adjusts as users enter or leave the network, and upcoming features that enable network auto-switching capabilities for uninterrupted synchronization and Bluetooth support. The latest capabilities make it easier than ever for developers to implement P2P sync in iOS and Android applications, reducing P2P implementation code from dozens of lines to around five compared with previous versions. This powerful new set of extended P2P sync features puts Couchbase Mobile well ahead of any competing mobile data sync solutions, especially when combined with the broader capabilities offered by Couchase. Learn more here.
• XDCR and Couchbase Mobile Multi-Cluster Resilience: A key feature of Capella App Services and Sync Gateway 4.0 is cross data center replication (XDCR) support for mobile deployments, bringing multi-region resilience for zero-downtime disaster recovery, seamless failover with active standby and the ability for mobile users to seamlessly migrate between clusters. This helps provide the highest guarantees of uptime for apps and simplifies global deployments as they grow. Learn more here.
• Couchbase Edge Server: Launched earlier this year, Edge Server is a lightweight database server designed to power applications in internet dead zones on resource-constrained hardware. It is ideally suited for apps in isolated environments such as airplanes, restaurants, retail stores and warehouses. Learn more here.

Availability

Couchbase Mobile is available now. Learn more about delivering offline-first AI applications at www.couchbase.com.

Additional Resources

• To learn more about the major advancements in data synchronization, developer productivity and deployment resilience, watch this video.
• To learn more about how Couchbase Mobile enables always-fast, always-on application experiences, read this blog.
• To learn more about the new features and see a demo of data sync in action across iOS, Android and web apps, register for the webcast here.
• To learn more about how Couchbase helps customers address their most critical AI challenges, click here.

Couchbase Hyperscale Vector Index (HVI) Delivers Breakthrough Performance Against MongoDB in Independent Billion-Scale Benchmark

SAN JOSE, Calif. – October 23, 2025 – Couchbase, Inc., the developer data platform for critical applications in our AI world, today announced results from a Couchbase benchmark test using an independent tool that demonstrates Couchbase’s Hyperscale Vector Index (HVI) delivers exceptional performance advantages over competitive solutions at billion-vector scale. The comprehensive testing, conducted using the industry-standard VectorDBBench methodology, shows Couchbase achieving over 700 queries per second (QPS) with sub-second latency and higher accuracy, which is 350 times faster than MongoDB Atlas under identical conditions.

The rigorous head-to-head comparison tested Couchbase and MongoDB against datasets of 100 million vectors with 768 dimensions, and 1 billion vectors with 128 dimensions, measuring QPS, response latency and recall accuracy across multiple retrieval configurations. The benchmark results reveal dramatic performance differences that become even more pronounced as applications require higher recall accuracy levels.

“When you’re building AI applications at scale, performance isn’t just a nice-to-have; it determines whether your application provides value that makes it worth adopting,” said BJ Schaknowski, CEO of Couchbase. “We see this with customers every day. They’re making infrastructure decisions right now that will either enable their AI initiatives or create bottlenecks they’ll struggle with for years. These benchmark results show what we already know: at billion-vector scale, architectural choices have massive implications for what you can actually deliver as GenAI-powered applications. Couchbase gives enterprises the performance and accuracy they need without the traditional trade-off between the two – all at lower total cost of ownership.”

Key Benchmark Findings

The testing demonstrates that Couchbase’s architecture enables organizations to simultaneously achieve both exceptional performance and high accuracy in vector search applications.

At optimized speed settings, Couchbase delivered 19,057 QPS with 28-millisecond latency at 66% recall accuracy, while MongoDB managed only 6 QPS at 57% recall with 62.6-second latency, representing a 3,176 times performance advantage for Couchbase. When configured for high-accuracy retrieval, Couchbase maintained 703 QPS with sub-second latency of 369 milliseconds at 93% recall accuracy. In contrast, MongoDB’s performance dropped to just 2 QPS with over 40 seconds of latency at 89% recall – giving Couchbase a 350 times throughput advantage while also delivering higher accuracy.

Technical Approach Drives Performance Advantages

Couchbase’s HVI leverages the DiskANN nearest-neighbor search algorithm with the Vamana directed graph construction algorithm, providing flexibility to operate in-memory and across partitioned disks for distributed processing and to maintain exceptional query performance while it scales. The architecture includes support for scalar quantization (SQ4), which reduces memory footprint while maintaining accuracy.

The benchmark testing used hardware-equivalent configurations on Amazon Web Services (AWS) infrastructure for both platforms, with four query nodes (64 cores, 128GB RAM each) and three data nodes (32 cores, 128GB RAM each) for each system. Both systems were tested against the same workloads with parameter configurations optimized for comparable breadth-of-search levels, where wider search settings drive higher recall accuracy.

The complete testing methodology and detailed results are available in the technical report “Comparing Vector Search Capabilities of MongoDB and Couchbase by Benchmarking Using VectorDBBench.” The results show that Couchbase delivers more work, with less latency, and significantly lower costs per operation.

Implications for Enterprise AI Applications

Every second of delay in AI applications translates to frustrated users, abandoned transactions and lost revenue. For enterprises deploying AI at scale, database performance is not just a technical detail, it is the difference between AI that delivers business value and AI that becomes expensive shelfware. The benchmark results demonstrate that architectural choices have profound implications for application responsiveness, infrastructure costs and scalability.

Availability

Couchbase 8.0 with HVI capabilities, also announced this week, is now generally available for both self-managed and Capella-based deployments. Organizations can deploy across on-premises, cloud and edge environments to support their AI application requirements.

Additional Resources

• To learn more about Couchbase’s vector search capabilities and access the complete benchmark report, visit https://www.couchbase.com/products/vector-search/.
• To learn more about how Couchbase helps customers address their most critical AI challenges, click here.

Independent Benchmarks Prove Couchbase’s Breakthrough Vector Technology Delivers Billion-Scale Performance with High Recall Accuracy and Millisecond Latency

Enhances Enterprise-Grade Security and Accelerates Developer Productivity Across All Skill Levels

SAN JOSE, Calif. – Oct. 21, 2025 – Couchbase, Inc., the developer data platform for critical applications in our AI world, today announced Couchbase 8.0, delivering end-to-end AI data lifecycle support for enterprises building AI applications and agentic systems. With the introduction of three distinct vector indexing and retrieval capabilities that support a variety of diverse vector workloads, Couchbase 8.0 provides a scalable, high performing, AI-ready data platform for building context-aware, real-time AI applications. Available for self-managed and Capella-based deployments, Couchbase 8.0, supports billion-scale vector search with millisecond latency, and tunable recall accuracy, at a low TCO across on-premises, cloud and edge deployments.

“Scaling AI requires a developer database platform built for speed, throughput and reliability. With support for our Hyperscale Vector Indexing (HVI) and end-to-end RAG workflows, Couchbase stands out from other offerings in the market by providing more flexible and comprehensive vector search options,” said Matt McDonough, SVP of product at Couchbase. “By managing the full AI data lifecycle — which spans sourcing and vectorization through LLM engagement, to validation and drift detection — we help customers create trustworthy agentic systems, while reducing latency, boosting recall accuracy and lowering total cost of ownership.”

Couchbase’s performance advantage was demonstrated in independent billion-scale vector benchmark testing commissioned by the company. The platform’s tunable HVI delivered up to 19,057 queries per second (QPS) with 28-millisecond latency at 66% recall accuracy to highlight its performance. Its challenger, a leader in Gartner’s Magic Quadrant for Cloud Database Management Systems, hit 6 QPS at 57% recall accuracy. And when tuned for accuracy, by increasing its scan properties, HVI delivered over 700 QPS, achieving 93% recall accuracy with sub-second response times. When compared against its challenger the speed test is more than 3,100 times faster and the accuracy test performs 350 times more work. Couchbase’s combination of speed, scale and accuracy enables enterprises to handle massive vector workloads without inflating infrastructure costs nor sacrificing quality.

“Couchbase’s new vector search capabilities transform how we deliver context-aware video discovery for enterprises. We’re already using SQL++ and full-text search to query metadata across hundreds of thousands of employee-generated videos, and added vector search capabilities takes this to the next level,” said Ian Merrington, CTO at Seenit. “Our customers can find relevant content based on meaning and context, not just exact keywords. As a Capella customer, we’re excited for Couchbase 8.0 and the scalability and TCO benefits that make it the ideal solution for our AI-powered video platform.”

“The single greatest accelerator for enterprise AI adoption is the simplification of the underlying data stack,” said Saurabh Jha, SVP and global head of data and analytics at Tech Mahindra. “Couchbase 8.0’s launch is a pivotal milestone, collapsing the divide between operational data and the vector capabilities essential for modern AI. For our teams at Tech Mahindra, this means faster development cycles, lower architectural complexity and a direct path to deploying high-performance RAG and agentic AI solutions for our customers”

Optimized Vector Indexing Options for Speed, Scale and Accuracy

Teams creating AI applications and agentic systems face significant challenges managing AI-generated data. In the Couchbase FY 2026 CIO AI Survey, 28% of CIOs cite difficulties in managing or accessing necessary data as a key factor disrupting AI projects, and only 16% have a vector database that can efficiently store, manage and index high-dimensional vector data.

Couchbase 8.0 delivers the comprehensive solution enterprises need through its novel three-pronged indexing approach to vector embedding, indexing, storage and access. It is designed to support various vector retrieval scenarios from those that require very broad vector-based context, to those that can control or adjust prompt variables on a more granular basis. These applications require high-speed vector indexing, massive vector index capacity and millisecond vector retrieval times, enabling agentic systems that are efficient, cost effective and respond as fast as humans expect. The platform supports:

• Hyperscale vector index that scales beyond a billion vector index records without compromising responsiveness or performance. Built on the DiskANN nearest-neighbor search algorithm using the Vamana directed graph construction algorithm, this approach provides the flexibility to operate across partitioned disks for distributed processing and scaling, and run in-memory for smaller data sets.
• Composite vector index that supports pre-filtered queries that help scope the specific vectors it seeks. Composite vector indexes can be stored and partitioned similarly to other global secondary indexes in Couchbase, providing efficient vector retrieval for targeted use cases.
• Search vector index that enables queries for vectors via the search service, supporting hybrid searches that contain vectors, lexical search and structured query criteria within a single SQL++ request. This capability enables sophisticated search scenarios that combine multiple data types and query patterns.

Developers can now achieve better performance, accuracy, memory usage and cost savings through flexible, use-case oriented choices for vector indexes. This rare optionality allows organizations to deploy context-defining vectors optimized for their specific application requirements, whether they need to optimize for query complexity, vector volume or precision.

Enhanced Security and Compliance Protects Mission-Critical AI Applications

Recent data collected by Couchbase revealed that more than a third of CIOs expressed a lack of confidence around meeting security or compliance demands, which have disrupted AI projects. With Couchbase 8.0, enterprises benefit from enterprise-grade security and compliance features.

New out-of-the-box support for native data at rest encryption (DARE) provides built-in security that automatically encrypts data stored on disk and decrypts it when accessed, protecting sensitive data from unauthorized users. Support for the Key Management Interoperability Protocol (KMIP) provides seamless, cross-platform management of encryption keys to further strengthen data security and simplify operations.

Cross data center replication (XDCR) offers bidirectional active-active conflict awareness detection that now extends to mobile buckets. This allows mobile clients to sync to the closest cluster to improve reliability, scalability and performance. It protects against data center failure while ensuring nonsensitive data is replicated between regions and protected data is stored locally. This makes it easy for globally distributed businesses to adhere to regional data compliance regulations while supporting mobile consumption.

New Intelligent auto-failover capabilities ensure customers maintain continuous operations even during system disruptions, such as reaching disk capacity or disappearance of ephemeral (transient) buckets.

Enhanced Experience Improves Developer Productivity

Couchbase 8.0 improves developer productivity with streamlined experiences and support for AI use cases. The platform enables developers unfamiliar with SQL++ to use natural language to query data, and adds a query workload repository for query statistics over time to help troubleshooting. The search engine adds user-defined synonyms for more relevant results.

For DevOps, Couchbase Becomes More Efficient and Responsive to Failures

The new release removes friction for developers by reducing operational complexity and minimizing troubleshooting and infrastructure management overhead. It addresses both runtime performance and ongoing data management burdens tied to building agentic systems operating at scale.

Supporting Quotes

“Many of today’s integrated vector databases take a generalized approach to indexing and retrieval, yet AI applications often have diverse performance and accuracy needs,” said Devin Pratt, research director at IDC. “Solutions such as Couchbase demonstrate how multiple indexing options can help developers fine-tune vector search for their specific use cases, whether optimizing for scale, combining hybrid search methods, or applying pre-filtered queries, offering greater flexibility than many other systems.”

“The technical barrier to AI application development remains high, with many developers struggling to navigate complex database architectures and specialized query languages required for vector operations. This skills gap is becoming a bottleneck for organizations looking to scale their AI initiatives beyond pilot projects,” said Kate Holterhoff, senior industry analyst at RedMonk. “Couchbase has introduced natural language querying capabilities and vector management in acknowledgement of the need to democratize and simplify AI development by making these powerful capabilities accessible to more developers, and especially those without deep database expertise.”

“Support for storing and indexing vectors has become a critical capability for data platform providers, enabling the development of applications infused with generative AI,” said Matt Aslett, director of research, analytics and data at ISG Software Research. “Couchbase’s support for multiple vector indexing and retrieval approaches delivers differentiation that enables developers to select the approach that best suits the requirements of each application.”

Availability

Couchbase is a multipurpose database that uniquely supports operational, analytical, AI and mobile application data in a single platform deployable on premises, in Kubernetes, as DBaaS and on mobile and IT systems simultaneously, making development easier and less costly.

Couchbase 8.0 is now generally available. Try it today to simplify AI application and agentic system development at www.couchbase.com.

Additional Resources

• To learn more about how Couchbase 8.0 empowers enterprises to develop AI applications and agentic systems, read this blog.
• To learn more about how Couchbase helps customers address their most critical AI challenges, click here.

Secure, Scalable and Reliable Cloud Infrastructure Accelerates Digital Transformation for Enterprises in Thailand

BANGKOK, THAILAND – Oct. 20, 2025 – Couchbase, Inc., the developer data platform for critical applications in our AI world, today announced the launch of its first Couchbase Capella™ node in Thailand, hosted on Amazon Web Services (AWS) infrastructure in Bangkok. This node will ensure data is stored and processed locally to deliver low latency and high availability applications that meet rigorous data residency and security requirements for Thai enterprises.

According to Data Bridge Market Research, Thailand’s cloud services market is projected to reach $10.41 billion by 2032, growing at a compound annual growth rate (CAGR) of 14.31% from 2025 to 2032. This launch positions Couchbase to support Thailand’s rapidly expanding cloud market by enabling enterprises to accelerate digital transformation while meeting growing demands for secure, compliant and locally hosted infrastructure that fulfill government regulations and customer expectations.

Addressing Key Market Challenges with Capella on AWS

Given Thailand’s evolving data protection landscape and increasing regulatory requirements, local data residency and robust security have become top priorities for Thai enterprises. The fully managed node by Couchbase with multi-node resiliency resolves concerns around data security by ensuring data resides locally in AWS infrastructure. This reduces latency and improves operational complexity and costs for customers by eliminating the need to launch their own self-managed deployments.

“While we accelerate digital transformation initiatives to meet customer and regulatory demands, our need for data residency has never been greater,” said Wirapohn Buncharoen, Founder of Orcadrio Co., Ltd. “Having Couchbase Capella available locally on AWS infrastructure in Bangkok addresses our data security and compliance concerns so we can confidently focus on building innovative applications faster and more affordably, without added operational complexity.”

Couchbase Benefits and Highlights for Thai Enterprises

Thai customers can now enjoy a fully managed Couchbase experience rather than deal with complex self-managed deployments, with immediate benefits including:

• Complete data residency: Ensures full compliance with Thai regulations by storing and processing all data within AWS Bangkok infrastructure.
• Enterprise-grade security: Delivers multi-layered security that combines AWS infrastructure protection with Couchbase’s advanced security features.
• Competitive pricing: Provides best-in-class price performance that maximizes value while maintaining security standards.
• Reduced latency: Improves data access speeds and performance with local hosting.
• Simplified operations: Eliminates the complexity of self-managed deployments.
• Multi-node resiliency: Ensures high availability for mission-critical applications.

Strategic Market Entry

“Thailand represents a tremendous opportunity as one of Southeast Asia’s largest economies,” said Genie Yuan, VP of Asia-Pacific at Couchbase. “Data sovereignty and security are paramount concerns for Thai enterprises, and we’re addressing these needs by bringing our industry-leading NoSQL developer data platform directly to Bangkok. This launch demonstrates our commitment to providing secure, compliant database solutions that meet Thailand’s specific regulatory requirements while supporting the country’s ambitious digital transformation goals.”

AWS launched its Thailand infrastructure in early 2025, and Couchbase is one of the first database companies to establish a local presence.

SAN JOSE, California – September 24, 2025 / PR NEWSWIRE / – Couchbase, Inc. (“Couchbase”), the developer data platform for critical applications in our AI world, today announced the completion of its acquisition by Haveli Investments in an all-cash transaction valued at approximately $1.5 billion.

The transaction was previously announced on June 20, 2025, and was approved by Couchbase’s stockholders at a special meeting held on September 9, 2025. With the completion of the acquisition, Couchbase will now be a privately held company, and stockholders are entitled to receive $24.50 per share of Couchbase common stock owned immediately prior to closing. Couchbase’s common stock has ceased trading and will be delisted from the Nasdaq Stock Market.

“The closing of the Haveli acquisition marks an exciting new chapter for Couchbase,” said Matt Cain, Chair, President and CEO of Couchbase. “Couchbase is at the forefront of modern database technology, empowering developers and enterprises to build high-performance applications, and our partnership with Haveli affirms our strong market position and future potential. We are excited to work with Haveli to accelerate our vision and deliver even more value to our customers.”

“We are eager to embark on this partnership and further accelerate Couchbase’s growth and innovation,” said Sumit Pande, Senior Managing Director at Haveli Investments. “The combination of Couchbase’s strong product leadership with Haveli’s expertise in scaling enterprise software organizations, positions us well to expand market leadership while continuing to meet the performance and scalability demands of customers.”

Advisors

Morgan Stanley & Co. LLC served as exclusive financial advisor to Couchbase, and Wilson Sonsini Goodrich & Rosati, Professional Corporation served as legal counsel.

Latham & Watkins LLP served as legal counsel and Jefferies LLC served as the lead financial advisor to Haveli Investments.