Good questions. One answer - Speed in analytics when working with large data sets matters. A lot. Think about this - several vendors seem to be claiming support for interactive analytics. i.e. i can ask an adhoc…
Yes, it is a hash join.
From what I know, this test originally written by Databricks (expanded here) is meant to tease out the optimizations in the Tungsten engine. Of course, a distributed query that is dominated by shuffle costs will produce…
Just to be clear, we do support Snappydata as a library (unfortunately, the docs don't make this clear) that can work with your distribution (upto 1.6 today). Our releases will support the latest Spark version in a…
Structured streaming really makes spark much more competitive for streaming use cases by allowing streams to be seen as DataFrames and hence make it super simple to run continuous queries using SQL on streams, but,…
Yes. Hopefully soon.
@superkk Ironically, we debated this extensively and concluded the reverse (primarily because we believe the Spark API is succinct and integration with the eco-system will be easy) - much more like spark than Gemfire.…
Metabase looks very interesting. We will go through it in more detail. Can you point to any doc on what it takes to create a connector? Note that Snappydata has two straightforward entry points - SQL (e.g. JDBC…
Good questions. One answer - Speed in analytics when working with large data sets matters. A lot. Think about this - several vendors seem to be claiming support for interactive analytics. i.e. i can ask an adhoc…
Yes, it is a hash join.
From what I know, this test originally written by Databricks (expanded here) is meant to tease out the optimizations in the Tungsten engine. Of course, a distributed query that is dominated by shuffle costs will produce…
Just to be clear, we do support Snappydata as a library (unfortunately, the docs don't make this clear) that can work with your distribution (upto 1.6 today). Our releases will support the latest Spark version in a…
Structured streaming really makes spark much more competitive for streaming use cases by allowing streams to be seen as DataFrames and hence make it super simple to run continuous queries using SQL on streams, but,…
Yes. Hopefully soon.
@superkk Ironically, we debated this extensively and concluded the reverse (primarily because we believe the Spark API is succinct and integration with the eco-system will be easy) - much more like spark than Gemfire.…
Metabase looks very interesting. We will go through it in more detail. Can you point to any doc on what it takes to create a connector? Note that Snappydata has two straightforward entry points - SQL (e.g. JDBC…