Hive
Customers look to Starburst Enterprise when they are experiencing an intensely slow query turnaround from their existing Hadoop, Spark, or Hive infrastructures. Hive was created in 2008 at Facebook for long-running ETL workloads, and was used for querying and analytics. In fact, the genesis of Starburst Enterprise’s core open-source engine, Trino, formerly known as Presto® SQL, came about due to these slow Hive query conditions at Facebook back in 2012.
Impala
Impala improves on Hive’s speed, however, it’s best used as a departmental solution with smaller data sets and which don’t require high concurrency. Unlike Impala, Starburst Enterprise is not bound by Hadoop and can federate across numerous other sources. Starburst is a stand-alone technology not tied to any legacy technology. We enable businesses to leverage a real RDBMS, in addition to distributed storage, and offload the majority of workload they have on Impala onto something that delivers the responsiveness they need.