Accelerating Time to Insights and Action
In today’s world where modern technology, AI workflows, and vast amounts of data are driving increased complexity at never-before seen rates, analytics has become a cornerstone of an organizations’ success. With that exponential growth in data, organizations demand innovative solutions that can work seamlessly within their environments, whether that be on-premises, in the cloud, or a hybrid of both. Couchbase is dedicated to empowering enterprises to innovate rapidly, scale effectively, and maintain cost efficiency, all while delivering outstanding performance across operational, analytic, mobile, and AI workloads.
First launched within Capella, our Database-as-a-Service, Enterprise Analytics brings our cutting-edge JSON-native product line to self-managed deployments. Enterprise Analytics enables teams to gather real-time metrics, derive immediate insights, and make faster decisions by eliminating the latency gaps between operations and analytics, and without impacting operational workloads. Analysis and derived data can be written back in milliseconds to their Couchbase operational data store, for use within critical applications, all in a single database platform.
These capabilities redefine how analytics are performed when JSON data is the centerpoint to analysis, which has become more critical in organizations and as a means to exchange data. Today, customers benefit from Couchbase’s analytics offering whether deployed on-premises, in the cloud, or a hybrid of both.
Let’s delve deeper into what makes Couchbase’s analytics technology a transformative solution for modern enterprises.
Designed as a powerful pillar of Couchbase’s developer database platform, Enterprise Analytics brings cutting-edge capabilities for ingesting, processing, and analyzing JSON-centric data, which is critical to modern applications, AI interactions, and data exchanges. It can incorporate JSON with other data (more below) and be deployed in a consistent and interoperable manner across customers’ deployment environments.
Couchbase Enterprise Analytics now for self-managed deployments
Here’s what sets Couchbase apart:
JSON-Native, Multisource, Zero-ETL Architecture
Couchbase Analytics breaks free from the schema constraints of traditional analytic systems and makes it easier to ingest and access data in real-time, even as it evolves. This streamlined approach not only accelerates time-to-actionability but also eliminates the delays commonly associated with data preprocessing and transformation. To enable this, Couchbase offers:
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- An innovative zero-ETL setup, eliminating the need for pre-defined schemas and complex data pipelines
- Real-time ingestion of data from Couchbase and non-Couchbase databases (MongoDB, DynamoDB, MySQL and PostgreSQL)
- Direct ingestion of JSON, CSV, TSV, AVRO, Parquet and Delta Lake data formats
- Support for on-premises, self-managed S3-compatible storage, like NetApp StorageGRID
Unparalleled Performance and Scalability
Couchbase’s analytics platform is optimized for low latency and maximum throughput to ensure results are returned quickly, even from complex queries. The platform is built to scale, handle large datasets, and use infrastructure efficiently, helping to lower costs. From a technical standpoint, there are several key elements that are utilized together for speed and scalability:
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- Columnar storage engine for efficient data compression and retrieval
- Separation of compute and storage for scalable, cost-efficient processing
- Massively parallel processing (MPP) to accelerate processing across nodes and hardware
- A novel cost-based optimizer for JSON to ensure the best execution plan
Such optimizations make Couchbase a top choice for enterprises with high-performance analytics needs.
When compared to other JSON-native document databases, Couchbase’s breakthrough analytics solution delivers dramatically better performance. Recent real-time analytic benchmarks show Couchbase outperforming its nearest rival, with analytical query latencies that are ~100-150 times faster.
Real-Time Operational Writeback
The ability to write analytic metrics and derived data back into the operational data platform in real-time is a game changer. This challenge has been an issue for organizations for decades. Couchbase’s real-time operational writeback capabilities are easy to use and enable customers to:
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- Leverage derived metrics to update core business applications in real-time, both within Couchbase Enterprise and Couchbase Capella
- Create closed-loop systems where analytics directly influence operational actions
- Write data out using SQL++ to flat files in JSON, Parquet, Avro, CSV, and TSV for use in other systems
This real-time writeback capability benefits customers on-premises, in the cloud, or a hybrid of both. For example, a global telecommunications customer with a hybrid deployment, uses Couchbase’s analytics solution to ingest and analyze cell tower data in the cloud, write derived results back to its on-premises environment within Couchbase, and optimize network configurations for superior service.
Enabling Offline and Online Feature Stores in One Platform
Couchbase has long been used as an online feature store for machine learning (ML) with real-time operational speeds at scale. Couchbase Analytics now expands our ML capabilities by integrating with Feast, a popular open source feature store framework. With capabilities as both an offline feature store (for ML model training) and an online store (for real-time feature serving), Couchbase can address important ML challenges, including:
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- Synchronizing training and serving data for consistency
- Avoiding data leakage in production environments
- Simplifying complex data pipelines
- Ensuring models stay updated with fresh, actionable data
This makes Couchbase the ideal data platform for organizations exploring and building AI-driven solutions.
The Couchbase Advantage
Couchbase is committed to enabling enterprises to innovate with speed, scale efficiently and remain cost-effective, all while ensuring exceptional performance. With Enterprise Analytics, we now bring our groundbreaking JSON-native analytics offering to self-managed customers. As a result, JSON analytics are no longer hindered (or ignored) by legacy relational technologies, allowing businesses to capture and take action with real-time operational metrics from their critical applications. Additionally, customers can support critical AI, agent, and ML initiatives. Customers have the freedom to deploy Couchbase Analytics in the cloud, on-prem, or in a hybrid manner to match their environments and benefit from robust support and seamless integration.
Call to Action: Embrace Analytics Excellence
In today’s world, harnessing the power of advanced analytics is no longer optional. Join other forward-thinking enterprises in adopting Couchbase’s Analytics to experience the next generation of JSON-native, real-time analytics – deployed in a way that meets your needs.
Visit Couchbase to learn more about Enterprise Analytics and take the first step toward transforming your data-driven operations.
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