Category: Couchbase Server
Store more for less using data compression in Couchbase Server 5.5
With the launch of Couchbase Server 5.5, we have introduced end-to-end compression which allows data to remain compressed through: client to cache, to disk storage, to replication of data across data centers. Since most of our customer data is in JSON text...
Announcing Couchbase Server 5.5 – Developer Build
Announcing Couchbase Server 5.5 Developer Build It is my pleasure to share this early preview of Couchbase Server 5.5 features – there are some very exciting improvements coming and this Developer Build (DB) highlights several of them. There are many...
Simplified Couchbase Server Cluster Creation via Docker
It’s pretty straight-forward to run an instance of Couchbase Server in a Docker container. It takes a bit more work to set up and fully configure a cluster. In this post, I’m going to walk through a shell script I...
ANSI JOIN Support in N1QL
Overview ANSI JOIN support is added in N1QL to Couchbase version 5.5. In previous versions of Couchbase, join support was limited to lookup join and index join, which works great when the document key from one side of the join...
Tuning your replication stream for most optimal performance
XDCR is a high performance asynchronous data replication system used primarily to replicate data between your Couchbase clusters deployed in different data centers. Several Fortune 500 enterprises rely on XDCR for their mission-critical applications. High availability, disaster recovery and data...
Working with JSON Arrays in N1QL
The N1QL query language has a rich set of facilities for working with JSON arrays. In this article, we’ll cover array constants, facilities for searching in arrays, ways to transform arrays, and some useful N1QL array functions. The format is...
Machine Learning with Couchbase and Nexosis
Machine Learning is a tool that is helping developers and data scientists to accomplish all sorts of tasks: Classification – organize and tag data Regression – find relationships between data points Forecasting – use current data to predict the future...
Optimize Latency, Throughput With Master Slave Replication
In Couchbase, latency and throughput are significantly impacted by data replication. There are different kinds of data replication models, mainly master-slave (Couchbase, MongoDB, Espresso), master-master (BDR for PostgreSQL, GoldenGate for Oracle) and masterless (Dynamo, Cassandra). This article only discusses the...
Create Continuous Deployment Pipelines with Golang & Jenkins
A few weeks ago I had written about continuously deploying an application written with the Go programming language using a popular service called Travis CI. This example demonstrated creating an application that used a Couchbase NoSQL database, creating unit tests,...
Intro to Couchbase HA/DR: Java Multi-Cluster Aware Client
In this post, I’m going to take a look at a sample application that uses the Couchbase Server Multi-Cluster Aware (MCA) Java client. This client goes hand-in-hand with Couchbase’s Cross-Data Center Replication (XDCR) capabilities. XDCR supports flexible replication of data...
Develop with Agility, Develop at any Scale with Couchbase on Cisco UCS
Author’s note: This excerpt from the Couchbase on Cisco UCS® solution brief is published on behalf of Cisco. Full solution brief for Couchbase on Cisco UCS® is available later in this blog. As the world migrates to a digital economy, businesses are...