Numerous Couchbase customers, across all industries, see the immense value and importance of artificial intelligence (AI) and generative AI technologies. Many organizations are on the cusp of fully diving into integrating AI so that they can provide an enhanced customer...
MongoDB is deprecating its Atlas Device Sync and Atlas Device SDKs. Here’s what to know if you’re considering migrating to Couchbase Mobile. Today’s mobile app users expect an always fast, always on, personalized and engaging experience. It’s imperative for app...
As web applications grow in complexity, ensuring that only the right users have access to your Couchbase data is essential. Without a well-defined access control system, unauthorized users may access sensitive information or perform harmful actions. Integrating Permit with Couchbase...
There are use cases that are best served by multiple types of data access, including SQL, vector search, geospatial queries, and key-value access. One approach is to combine/chain together multiple data systems for each access method. However, the Couchbase approach...
What are embedding models? Embedding models are a type of machine learning model designed to represent data (such as text, images, or other forms of information) in a continuous, low-dimensional vector space. These embeddings capture semantic or contextual similarities between...
In modern distributed systems, the ability to replicate data between separate environments is crucial for ensuring high availability, disaster recovery, and performance optimization. Couchbase’s XDCR (Cross Data Center Replication) feature allows seamless replication of data between clusters, enabling robust data...
What is Data Chunking? Data chunking is a technique that breaks down large datasets into smaller, more manageable chunks. It’s crucial to artificial intelligence, big data analytics, and cloud computing because it optimizes memory usage, speeds up processing, and improves...
Businesses rely on real-time insights into operational data to stay competitive and responsive. Operational data—generated from customer interactions, IoT devices, transactions, and more—is essential for understanding and acting on the dynamics of day-to-day operations. When this data is enriched with...
We’re excited to announce the new integration between Couchbase and Dify.ai, bringing Couchbase’s robust vector database capabilities into Dify’s streamlined LLMops ecosystem. Dify empowers teams with a no-code solution to build, manage, and deploy AI-driven workflows efficiently. Now, with Couchbase...
There is a good chance you encounter vector search regularly, even if you are not building applications with it. Discovering content recommendations based on previous liked content is a common use case of vector embeddings, and one that many of...
During our recent third quarter fiscal 2025 earnings call, we were proud to share the great momentum we saw with expansions and new logos for both Couchbase Enterprise and Capella. We saw exciting customer wins across several industries, including government,...
We’re thrilled to announce that Couchbase Capella™, our industry-leading developer data platform architected for critical applications in our AI world, has been awarded the 2024 UK IT Industry Award for Cloud Innovation of the Year. This award recognizes Capella’s ability...
