Tag: couchbase

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

Searching JSON: comparing 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

JSON to Insights: Analyzing US healthcare Data.

“Nothing is certain except for death and taxes.” This isn’t a dataset made with a bed of roses or manicured green grass. A bit more serious. Let’s see if we can quickly learn anything here. The dataset is the following. “name”...

/ December 7, 2018

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’...

Curated Couchbase Containers on AWS Marketplace for Containers

Couchbase has a strong and long lasting relationship with AWS going back to 2012.  Today we are thrilled to announce that Couchbase and AWS are building upon that relationship with, Couchbase being a featured launch partner for the AWS Marketplace for...

/ November 27, 2018

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

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...

It’s the workload, stupid!

As an application architect, eventually, you’d to choose the database or database service to power your newest application or a micro-service. Selecting one of the databases among relational databases was easier.  The use cases were roughly divided into OLTP and...

/ November 14, 2018