Redis, the cache that powers Twitter, gets a machine learning module

The growing number of services that run machine learning algrithms under the hood will now be able to tap the popular open-source database Redis' capabilities much more easily than before. Typically used to cache applications' most frequently accessed information, Redis has received a new extension today that brings integration with Spark ML. Organizations that employ that framework to power their machine learning projects can now easily load models into Redis to improve their performance. Initial benchmark tests indicate that the system provides five to 10 times lower latency than a standard Spark implementation when performing certain tasks such as categorizing records. The assessment was carried out by Redis Labs Inc., the startup behind the new module and the database's main commercializer.