Amazon QuickSight Adds Support for Amazon EMR with new Presto and Apache Spark Connectors
Today, we added two new connectors for Presto and Apache Spark. Presto is an open source distributed SQL query engine for running interactive analytic queries against datasets ranging from gigabytes to petabytes. Like Presto, Apache Spark is an open-source, distributed processing system commonly used for big data workloads. Amazon QuickSight customers can now connect to Presto and Spark (with LDAP authentication enabled) running on Amazon EMR 5.5.0 or above, or self-hosted clusters on EC2 and analyze their big data at interactive speed. Customers can choose to directly query against the Presto and Spark engines, or ingest their data into SPICE for faster visualization.
Today, we added two new connectors for Presto and Apache Spark. Presto is an open source distributed SQL query engine for running interactive analytic queries against datasets ranging from gigabytes to petabytes. Like Presto, Apache Spark is an open-source, distributed processing system commonly used for big data workloads. Amazon QuickSight customers can now connect to Presto and Spark (with LDAP authentication enabled) running on Amazon EMR 5.5.0 or above, or self-hosted clusters on EC2 and analyze their big data at interactive speed. Customers can choose to directly query against the Presto and Spark engines, or ingest their data into SPICE for faster visualization.
Presto and Spark connectivity for QuickSight is available in US East (N. Virginia and Ohio), US West (Oregon), and EU (Ireland) regions. For more information, see the latest AWS Big Data Blog post on QuickSight.