Connect Power BI to Elasticsearch. Start running interactive visualizations in minutes.
Increasingly, companies rely on Elasticsearch for a wide range of strategic applications, like search, machine data analysis, and eCommerce. Elasticsearch makes it easy to build applications quickly, and the community has built a vibrant collection of complementary projects, like Kibana and Logstash.
But Elasticsearch manages data in JSON documents and has no support for SQL. This means Power BI doesn’t work with Elasticsearch. As a result, most companies copy their data from Elasticsearch into a relational database for analytics. And while this makes Power BI work great, moving the data can be a massive engineering project.
Dremio connects Power BI to your Elasticsearch clusters, and accelerates your data and queries. SQL queries that are issued to Dremio by Power BI are rewritten in Elasticsearch’s DSL, including compiling expressions to Groovy and Painless scripts, and automatically pushed down to your cluster. The results are transformed into rows, including complex data structures like arrays and sub-documents. For joins and other operations that aren’t supported by Elasticsearch, processing is transparently performed in Dremio’s distributed SQL execution engine. Learn more about how Dremio works.
With Dremio Reflections™, your data is automatically optimized in columnarized, compressed data structures called reflections. Dremio’s reflections can accelerate your analytics by 10-1000x. Learn more about Dremio Reflections™.
Elasticsearch indexes are designed to provide fast estimates of counts while supporting high concurrency. While it is possible to tradeoff performance for accuracy with small data sets, large data sets do not provide this option. Dremio can ensure the accuracy of your analytical queries by maintaining a cache of your data in a compressed, columnarized representation that is optimized for analytics. You have full control for how this cache is maintained, according to a freshness SLA that you configure. Dremio can issue a single read on your data when you choose, and process all your analytics without adding load to your operational deployment.
Dremio is more than a solution for Elasticsearch - it works for all your data sources. Relational databases, Hadoop, MongoDB, S3, and more. Dremio gives you the same rich query access to any source, and accelerates your data to make analysis interactive and fun.