Category: Couchbase Server

N1QL: To Query or To Analyze?

Note: This recommendation note was written in collaboration with Till Westmann and Mike Carey, who lead the Couchbase analytics R&D. Couchbase’s Query and Analytics Services both support N1QL (SQL for JSON).  A common question is: “Which service should run my...

/ January 24, 2019
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Real Time User Deduplication with Couchbase Eventing

User deduplication is an important activity for anyone managing a corpus of user related data. In some cases you may end up with multiple versions of the same user in your database. This can happen for any number of reasons:...

Searching JSON: compare text search in Couchbase and MongoDB.

“Apps without search is like Google homepage without the search bar.” It’s hard to design an app without a good search.  These days, it’s also hard to find a database without a built-in search. MySQL to NoSQL, Sybase to Couchbase,...

/ December 21, 2018

Meeting data protection needs for Couchbase Data Platform

In the world where data is the currency, backup & recovery for a database is as essential as any other defining parameter such as consistency or performance because the customers cannot afford data loss under any circumstance. Couchbase offers a...

JSON to Insights: Fast and Easy

Co-author:  Sitaram Vemulapalli, Principal Engineer, Couchbase R&D. “The answer my friend is hiding in JSON” – Bob Dylan There are a lot of public JSON datasets and then is awesome JSON datasets. Every company, including yours, has stored a lot of...

/ December 1, 2018

Understanding Cross Datacenter Replication (XDCR) – Part 1

If you have any familiarity with Couchbase, you definitely know XDCR. If you use Couchbase for any of your applications, you are very likely using XDCR. I wouldn’t be wrong if I said, XDCR is indeed one of our customers’...

Connecting to Couchbase via ODBC

Couchbase Analytics Couchbase Data Platform now supports hybrid transaction/analytical processing (HTAP) workloads. Plus, our massively parallel processing (MPP) query engine lets users run ad-hoc analytical queries that deliver faster insights without impacting performance. Couchbase Analytics reduces the time to insight...

On Par with Window Functions.

  Use golf analogy when explaining to executives. Use a car analogy for all others.  — Confucius. The purpose of window functions is to translate the business reporting requirements declaratively and effectively to SQL so query performance and developer/business-analyst efficiency...

/ November 22, 2018

Full Text Search Best Practices – Part 1

Full Text Search – Indexing Tips Understanding the Couchbase Full Text Search (FTS) indexing options and tuning those are essential for building the right index for the job at hand. The right index here refers to a lean and rich enough...

/ November 19, 2018

Announcing Couchbase Autonomous Operator 1.1.0

We’re happy to announce the release of Couchbase Autonomous Operator 1.1.0. As many of you know, version 1.0 which got released on August 30th was the first NoSQL production-ready Kubernetes operator for open source Kubernetes and Red Hat OpenShift. Couchbase Autonomous...