{"id":171207,"date":"2013-09-19T14:35:28","date_gmt":"2013-09-19T14:35:28","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/project\/trill\/"},"modified":"2019-07-16T08:47:44","modified_gmt":"2019-07-16T15:47:44","slug":"trill","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/trill\/","title":{"rendered":"Trill"},"content":{"rendered":"

Trill is a high-performance open-source<\/b> in-memory incremental analytics library. It can handle both real-time and offline data, and is based on a temporal data and query model. Trill can be used as a streaming engine, a lightweight in-memory relational engine, and as a progressive query processor (for early query results on partial data).<\/p>\n

You can learn more about Trill from the publications below, or from our slides\u00a0here pdf (opens in new tab)<\/span><\/a> | pptx (opens in new tab)<\/span><\/a>.<\/p>\n

Trill is now open-source, and is available on GitHub here (opens in new tab)<\/span><\/a>!<\/p>\n