Blogs : Couchbase Server

4 months 2 weeks ago

4 Ways to make Couchbase do the hard work: Part IV

Today we are going to look at what to do when Couchbase's query model can't fulfill what you need! (Or you need an excuse to play with more cool tech).
Tags:   Couchbase Server
4 months 3 weeks ago

Modern Big Data > Hadoop

That's right. A modern big data solution requires more than Hadoop. Welcome to the data, it's all big and fast. Welcome to Big Data Central Discuss on Hacker News Discuss on Reddit I'm...
4 months 4 weeks ago

Monitoring Key Couchbase Metrics

5 months 1 day ago

How Many Nodes? Part 4: Monitoring for Sizing

Welcome back everyone, this will be the last post in this series around sizing. In the previous posts I provided an overview of the considerations when sizing a Couchbase Server cluster, a...
5 months 2 days ago

Announcing Couchbase Server 2.5.1

We’re happy to announce the release of Couchbase Server 2.5.1 Enterprise Edition. As many of you may know, the 2.5 release introduced several exciting features like rack-zone awareness and...
Tags:   Couchbase Server
5 months 3 days ago

Tune Performance and Scalability of ASP .NET Session Storage with Couchbase Provider

5 months 1 week ago

NoSQL and the Hybrid Cloud

If a NoSQL database can be deployed on-premise or it can be deployed in the cloud, why can’t it be deployed on-premise and in the cloud? It can, and it should. This article highlights a...
5 months 2 weeks ago

MongoDB and Scale Out? No, says MongoHQ

You may have heard that MongoDB has issues with scaling out. You may have heard that Viber is replacing MongoDB with Couchbase Server. Have you heard that MongoHQ has to scale up? I agree...
5 months 3 weeks ago

March 10: The Week in Couchbase NoSQL

Blogs, buzz and more! Follow @couchbase for updates as they happen. This week in Couchbase: FEATURED CONTENT Question of the Week: Couchbase for iOS Tables with Sections Blog of the Week:...
5 months 3 weeks ago

The Big Data / Fast Data Gap

Big Data Apache Hadoop the big data platform. It was designed to derive value from volume. It can store and process a lot of data at rest, big data. It was designed for analytics. It was...