You are here:  Home  >  Education Resources For Use & Management of Data  >  Data Daily | Data News  >  Current Article

Altoros Releases In-Depth Scoring Framework for Custom Evaluation of NoSQL Data Stores

By   /  November 10, 2014  /  No Comments

altby Angela Guess

According to a new article out of the company, “Altoros, a leading Cloud Foundry integration specialist, released a 53-page report that features a comprehensive scoring framework for custom evaluation of NoSQL data stores. Unlike other studies that focus on one or two dimensions only, this research approaches NoSQL databases from 20+ technical angles, covering the criteria essential for selecting a large-scale data-intensive database. The report also includes a sample comparison of the three leading NoSQL systems: Couchbase Server, MongoDB, and Cassandra (DataStax). It will be presented to the public on November 6, 2014, during a technical webinar by Altoros and Couchbase.”

The article continues, “In the course of three years, Altoros’s engineers evaluated a variety of NoSQL databases across multiple technical criteria, such as performance, deployment, fault tolerance, replication, etc. While the customer needs differed from a project to a project, performance was among the factors that mattered for architects and DBAs, but not the only one. That is why at one point the company came up with a scoring matrix and templates that can be re-used by anyone for custom analysis of NoSQL systems. The scoring framework set out in this document allows architects and engineers to assign different weights to evaluation criteria. As a result, it is possible to choose a NoSQL data store taking into consideration custom needs for data structure/formats, deployment, scalability, etc… The full version of the paper can be downloaded here: http://www.altoros.com/nosql-tech-comparison or here: http://info.couchbase.com/NoSQL-Technical-Comparison-Report.html.”

Read more here.

photo credit: Altoros

You might also like...

RWDG Slides: Data Governance and Three Levels of Metadata

Read More →