NoSQL Tech Comparison 2014: Cassandra (DataStax), MongoDB, and Couchbase

Alex Khizhniak

Introducing a NoSQL scoring framework

Even if you have years of experience with data-intensive apps, selecting a NoSQL data store for a particular case out of dozens of options may be a daunting task. The variety of databases goes way beyond sheer numbers, so you have to carefully compare and benchmark several options before you can choose the most appropriate solution.

To help companies select the best database based on particular use cases, workloads, or requirements, we decided to come up with a handy template for evaluating NoSQL solutions. While many other comparisons focus only on one or two dimensions, we compiled a scoring framework that approaches the databases from 20+ angles (including performance, scalability, availability, ease of installation, maintenance, data consistency, fault tolerance, replication, recovery, etc.).

As a real-life example of such an evaluation benchmark, today we present “The NoSQL Technical Comparison Report,” which provides an in-depth analysis of the leading NoSQL systems: Cassandra (DataStax), MongoDB, and Couchbase Server. Each of the databases was scored on a scale from 1 to 10 across 21 criteria.

With 29 charts and 30 tables, this paper features a scoring template for evaluating and comparing NoSQL data stores for your particular use case—depending on the weight of each criterion. We also give recommendations on the best ways to configure, install, and use NoSQL databases depending on their specific features.


Want details? Watch a webinar!

On October 7, the scoring framework was presented at the Couchbase Connect conference in San Francisco, CA. Renat Khasanshyn, CEO at Altoros, demonstrated templates for evaluating architectures of NoSQL databases and overview tools for benchmarking NoSQL/Hadoop workloads.

If you did not have the chance to attend, you can still get the templates by joining the webinar “NoSQL Database Architecture and Performance: How to Evaluate and Benchmark” on 11/6. Shane Johnson (Couchbase) and Renat Khasanshyn (Altoros) demonstrated a scoring framework and templates (with 20+ criteria) for comparing NoSQL data stores according to your custom project needs. The webinar also includes a sample benchmark of Cassandra, MongoDB, and Couchbase architechtures from the most recent NoSQL database research.


Download the research or watch the webinar recording to learn more about the scoring framework and results of this study.

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