Tag: performance

Couchbase Server 4.6

Announcing Couchbase Server 4.6 – What’s New and Improved

Couchbase delivers the Couchbase Data Platform that powers Web, Mobile, and IoT applications for digital businesses. With our newest release, Couchbase Server 4.6 provides the availability, scalability, performance, and security that enterprises require for their mission-critical applications. What’s New and...

Concurrency Behavior: MongoDB vs. Couchbase

Multi-User Testing   David Glasser of Meteor wrote a blog on an MongoDB query missing matching documents issue he ran into.  It is straightforward to reproduce the issue on both MongoDB MMAPv1 and MongoDB WiredTiger engine. Here are his conclusions...

MongoDB fails to perform, runs out of gas

Is performance still a problem for MongoDB? Avalon benchmarked Couchbase Server and MongoDB last year, and a lot has changed since then. Couchbase Server 4.0 introduced a SQL-based query language, N1QL. Couchbase Server 4.1 added prepared statements and covering indexes,...

Using Covering Indexes on a Multiple Document Type Bucket

I was recently working on a project that made use of N1QL for querying Couchbase Server data. This was an internal Java application that I was hosting on a low budget Amazon EC2 instance. My problem here is that my...

Often Overlooked Linux OS Tweaks

There are two simple linux OS level settings that people seem to be overlooking setting correctly on their production systems I have seen. These are documented elsewhere, but they keep coming up and seems like they need some quick review...

Prepared Statements – by the Numbers!

Always be Prepared…. In our last discussion on prepared statements in couchbase we talked about the performance gains that are possible using prepared statements. I thought I'd post a “sequel” with a few real world examples and numbers using the...

/ February 4, 2016

Prepare for This!

Get Prepared…. One of the more impressive aspects of using N1QL is the ability to use prepared statements. What are prepared statements? Why use them? What's the big deal? Consider the following example from the travel-sample bucket and dataset that are bundled...

/ February 4, 2016

Indexes for N1QL: or how I got an order magnitude speed increase

Indexes for N1QL: or how I got an order magnitude speed increase In Couchbase 4.0 we introduced N1QL query language: a flexible query language that brings SQL-like query to JSON documents. Whenever we talk about N1QL the conversation always opens...

MongoDB and DataStax, In the Rearview Mirror

Thumbtack published an excellent blog post today (link). It highlights the preliminary results of performance tests executed with Couchbase Server, MongoDB and DataStax Enterprise (Apache Cassandra). The final results will be included in a benchmark report. Thumbtack consulted with Couchbase,...

DataStax FUD

This is not the first time I've addressed FUD (link). However, it is the first time I've addressed FUD directed at Couchbase and that's a great thing. After all, I know what happens next. First they ignore you, then they...