Category: Features
Couchbase Autonomous Operator 2.0 with Prometheus – Part 2
A step by step guide for running the Couchbase Autonomous Operator with Prometheus on Amazon EKS and visualizing with Grafana
Couchbase Autonomous Operator 2.0 with Prometheus – Part 1
A step by step guide for running the Couchbase Autonomous Operator with Prometheus on Amazon EKS and visualizing with Grafana
Why Couchbase Is the Best NoSQL Option for Red Hat OpenShift
Red Hat’s leadership in the container orchestration space with OpenShift mirrors Couchbase’s leadership in the containerized database space with its Autonomous Operator. This fact is the foundation of the partnership between Red Hat and Couchbase. I’ve personally worked on the...
Flexible Query & Indexing for Flexible JSON Model.
Use N1QL when you’re in a JSON pickle. — Confucius For the JSON data model, the advice is to think of collections as tables, JSON document as denormalized rows and field names as columns – roughly. All this holds in...
Index Advisor Service for N1QL (March refresh)
This is our March drop for Index Advisor service for N1QL after fixing some of the bugs that were found after our last refresh in Feb. We plan to keep improvising the Index Advisor service(What is it?). The fixes in...
NoSQL Document Database Replication – MongoDB vs. Couchbase
We take a deeper look into how Couchbase and MongoDB address high availability and global deployments across multiple DCs.
FTS and N1QL: Better MongoDB in Operator Performance Querying Multiple Arrays
Learn the advantage of using FTS over GSI for array indexing with an example that requires querying multiple arrays with MongoDB in operator performance.
Part 2: N1QL: To Query or To Analyze?
When you need to query documents using SQL, there are two options available in Couchbase. The Query service and the Analytics service. Our blog, N1QL: To Query or To Analyze? provides a detailed overview of both services. I highly recommend...
Index Advisor Service for Couchbase N1QL(Feb refresh)
Follow-up blog for recent defects fixed in Couchbase Index advisor provides secondary index recommendations for SQL-like queries on JSON documents to improve query performance.
Couchbase Backup / Restore in K8s Environment
Couchbase’s high-performance backup tool for large datasets will help you ensure data safety with improved compression for cost-effective storage.
Announcing Couchbase Server 6.5 GA – What’s New and Improved
We are pleased to announce the release of Couchbase Server 6.5 beta with stellar features that lead the innovation in the NoSQL database market.
Couchbase 6.5 – RMS for Indexing Service
Couchbase 6.5 release includes an extensive list of Enterprise Grade Database Query capability that allows customers to expand the adoption of NoSQL database into traditional database applications. The release has added transactional capability, Analytical Window functions, user defined JS functions,...
Top Posts
- Data Modeling Explained: Conceptual, Physical, Logical
- Data Analysis Methods: Qualitative vs. Quantitative Techniques
- What are Embedding Models? An Overview
- Application Development Life Cycle (Phases and Management Models)
- What are Vector Embeddings?
- What Is Data Analysis? Types, Methods, and Tools for Research
- The Importance of Data Preprocessing in Machine Learning (ML)
- Semantic Search vs. Keyword Search: What’s the Difference?
- High Availability Architecture: Requirements & Best Practice...
