Spring is in full swing on the East Coast of United States, and a new product release line is blooming here at Zoomdata. Over the last month, we have released a new Long Term Supported (LTS) release and started on a new line of rapid releases to build the next set of Zoomdata functionality. Here is a reminder about the use of LTS vs. rapid releases.
Zoomdata customers still on the previous LTS release (v2.5) have a lot to look forward to in this new LTS release (v2.6) available as of April 2018. We have made considerable advances in the areas of analytical usefulness and architectural excellence. Here are the significant highlights:
A cornerstone for data exploration is the ability for an analyst to create new fields and measures from existing columns in their data. These could be semantic entities that are persisted for repeated use, or a one-off purpose-driven calculation at the row level in the data source. Zoomdata users can now create derived fields and perform record level operations with their data residing in ElasticSearch, HDFS, Hive on Tez & LLAP, Impala, MemSQL, MySQL, Oracle, Postgres, S3, SAP HANA, SparkSQL, SQL Server and files uploaded into Zoomdata. Over 50 functions are supported using native dialects to provide a rich set of analytical capability tailored for each data source. Support for more sources and functions will be added soon.
Data analysts love having many different views of data simultaneously on the screen to detect patterns and spot insights. The density with which this data can be packed plays a very important part in its usability. Zoomdata has made significant optimizations in the use of screen real estate - allowing for smaller charts and optimizing white space throughout the dashboard. Most notable is a new responsive layout of chart elements which smartly resizes and hides controls at smaller chart sizes in order to always give prominence to the data being visualized. Here is an example dashboard densely packing several kinds of visualizations without compromising readability of the data.