Enhancing Big Data Connectivity with Zoomdata 2.4
At Zoomdata our mission is to provide the fastest visual analytics for big and streaming data. In order to do that we focus on providing the largest set of native connectors in the industry. With our 2.4 release we focused on connectivity: adding native connectivity to data sources and enhancing their scalability with microservices. For our customers, this release enables them to explore and operationalize at scale new data storage technologies without impacting their business users - to us that’s the essence of the modern BI practice.
Zoomdata Connector Services Architecture: The Old with the New
Over the past year or so, Zoomdata has connected to over 50 different cutting-edge, legacy and everything-in-between data stores. In the process, we have matured our Connector Services Architecture. It is this architecture that allows us to quickly add new native connectors and support the “new kid on the block” data store, so our customers can try it out too.
Not all connectors are created equal. While BI and Analytics software vendors beat their chest with a long list of supported data connectors, at Zoomdata, we know that connecting is just half, or perhaps a tenth, of the battle. A fully functional and certified connector that takes advantage of data store specific query language and can fully leverage built-in optimizations requires considerable rigor and discipline, often skimped on by other vendors in the industry.
With that background, I am proud to say that 4 previously available connectors -- Apache Drill, Presto (w/ Cassandra), Teradata and Vertica -- have now graduated to general availability status. These connectors open up a range of use cases against several different backends that our customers can now leverage with Zoomdata in their Production environments.