Category: Tools & SDKs
Streams by Datanexions & Couchbase: A Revolution for Real-Time Data Integration
Effectively exploiting data in real time is a challenge that companies face; Whether it’s about optimizing the customer experience, improving decision-making, or ensuring transaction security, managing data flows is a strategic issue. The combination of Couchbase and Streams by Datanexions...
Rethinking Node Drains: A Webhook Based Approach to Graceful Pod Removal
Why and how we built an admission controller to make node drains safer when running stateful applications in Kubernetes. Running stateful applications in Kubernetes is increasingly common and these are often managed using custom resources and operators. However, the dynamic...
3 EF Core Integrations That Work with Couchbase
Couchbase’s new EF Core provider opens the door to some powerful .NET integrations: even ones traditionally tied to relational databases. This post walks through how Identity, GraphQL, and OData all work with Couchbase. In this post, I’ll walk through three...
Introducing the Fully Managed Couchbase Connector for Confluent Cloud
Building real-time applications often requires connecting operational databases like Couchbase with data streaming platforms such as Confluent. But managing these integrations can be complex, requiring teams to deploy connectors, configure networking, manage schemas, and monitor performance. These challenges slow development...
Couchbase and K2view Partner on Synthetic Data for Building AI Applications
Artificial Intelligence is only as effective as the data it learns from. For many organizations, the challenge isn’t access to data, but access to safe, representative, and adaptable data. That’s where synthetic data comes in. By mimicking the structure and...
Introducing Couchbase as a Vector Store in Agno
We’re excited to announce that Couchbase is now supported as a vector store in Agno. This integration brings together the best of Agno’s agent orchestration capabilities and Couchbase’s high-performance, scalable vector store. It allows developers to build intelligent, multi-agent systems...
Building a Simple Travel Agent Workflow with n8n and Couchbase Vector Search
In this tutorial, we’ll demonstrate how to harness the power of vector search capabilities in Couchbase with n8n’s workflow automation platform. We’ll build a simple travel agent workflow that recommends vacation destinations based on user queries, using vector embeddings to...
What is Real-Time Data? Types, Benefits, and Limitations
What does real-time data mean? Real-time data refers to data that is processed and made available with minimal latency, typically within milliseconds or seconds of creation. It enables systems to react to events as they occur, rather than relying on...
Optimizing TCO: Automate Cluster Hibernation Using Terraform
Couchbase Capella’s Cluster On/Off feature allows users to pause and resume their clusters seamlessly, without permanently deleting the data, helping optimise cloud expenses and improve operational efficiency. In this blog, we’ll explore how this feature works and how you can...
The Importance of Data Preprocessing in Machine Learning (ML)
Data preprocessing is a vital step in machine learning that transforms raw, messy data into a clean and structured format for model training. It involves cleaning, transforming, encoding, and splitting data to improve model accuracy, prevent data leakage, and ensure...
Supercharge Machine Learning (ML) Applications with Couchbase
Consider this scenario – you are a developer at a fintech company, and one of your users is notified to ask whether they had authorized an international transaction for $1,000. Instead of getting alarmed, the user clicks on the “No”...
Introducing Model Context Protocol (MCP) Server for Couchbase
The cornerstone of autonomous AI Agentic systems and GenAI applications is an “Augmented LLM”, which is defined as an LLM enhanced with augmentations from various data sources and knowledge bases. Since its introduction, there has been a lot of buzz...