Hadoop stores massive volumes of unstructured data, but performing analytics on Hadoop can be challenging. If you get the right set of SQL on Hadoop data analytics capabilities, you can dramatically reduce complexity and accelerate time to insight.
Learn just how fast and complete the Vertica SQL on Hadoop engine is. We put the TPC-DS benchmarks to the test with the two flavors of Vertica. We tested our solution against Impala, Hive on Tez, and Apache Spark. The results are shown in this white paper. When it comes to concurrency and analytical completeness in Hadoop, Vertica should be considered.
The Vertica for SQL on Apache Hadoop® engine is now certified on Cloudera CDH 5.5. You can now leverage the power of the mature, ACID-compliant Vertica engine on top of your Cloudera distribution. The solution installs directly on the CDH nodes and can boost query concurrency and performance.
Take this Hadoop test drive and spin up a temporary Hadoop cluster cloud with Vertica and preloaded data. Drive it for four hours. Run some queries that you’ve been unable to execute with other SQL engines for Hadoop. We know you’ll like what you find.