SnappyData: OLTP and OLAP Database Built on Apache Spark

Interesting and much needed!<p>Few questions if the maintainers &#x2F; owners read this:<p>1. what is the license? it seems to be not commercial friendly at the moment, but I couldn&#x27;t tell if it&#x27;s GPL &#x2F; AGPL or something else<p>2. what are your plans for supporting network&#x2F;graph data structures, graph analytics etc.<p>3. visualisation plans?<p>4. is the target to become a fully fledged BI tool? compete with the likes of Tableau &#x2F; Spotfire only on top of Big Data? (if so I&#x27;m very interested!)

Looks very interesting!<p>Would you be interested in helping us write a SnappyData connector for Metabase? github.com&#x2F;metabase&#x2F;metabase

This can be great if it lives up to it&#x27;s promise.<p>I could not find any performance numbers from real-life scale deployments. Will have to wait before giving a verdict.

Why add Spark? We run Spark in prod and have to actively patch the code based because there are so many ways to make it crash and burn. LDAP is a solved problem, why add Spark and instability to the mix?

I wonder if they added Spark into the mix just for marketing purposes. Since its born out of Pivotal, I guess they&#x27;ll end up gemfire much more than Spark.

does the snappy in snappydata inspired&#x2F;referred from &quot;snappy compression&quot;

Looks very promising!<p>Any plans to expose a Python API in addition to the Scala API?