Metamarkets is proud to announce the release of two major new features and a slew of small tweaks and bug fixes.

  In April 2011, we introduced Druid, our distributed, real-time data store. Today I am extremely proud to announce that we are releasing the Druid data store to the community as an open source project. To mark this special occasion, I wanted to recap why we built Druid, and why we believe there is broader utility for Druid beyond Metamarkets’ ...

The Metamarkets solution allows for arbitrary exploration of massive data sets. Powered by Druid, our in-house distributed data store and processor, users can filter time series and top list queries based on Boolean expressions of dimension values. Given that some of our dataset dimensions contain millions of unique values, the subset of things that may match a particular filter expression ...

Node.js server is a lightweight, scalable, high-performance web application server platform. Instead of spinning up a new thread for each request, Node.js runs in a single thread and prevents blocking by spinning up new threads for I/O operations leveraging JavaScript’s event model and notifying the main thread upon completion (Watch Ryan Dahl’s introduction to Node.js). At Metamarkets, we are using ...

One challenging analytics problem that we work on at Metamarkets is anomaly detection: given a sea of trends, how do you surface the most important ones?  In the era of big data, filters are necessary to prevent drowning users in a torrent of information.  Surfacing only the starkest deviations from the expected brings focus to the unexpected and interesting. What does ...