Jaspersoft Adds Big Data Support

Jaspersoft (see previous CloudAve coverage), the San Francisco based BI vendor, today announced support for big data sources for Business Intelligence reporting. They recently released a ramped up version 4 targeting embedded BI market. With today’s release, Jaspersoft support native reporting for Hadoop, NoSQL and Massively Parallel Processing Analytics Databases. In this era of big data in enterprise, this solves an important problem.

Because of cost and scale advantages, companies are shifting more and more towards data stores such as Hadoop, NoSQL and MPP databases. By supporting these databases through connectors, Jaspersoft is trying to position themselves as a strong player in the big data era. Today’s release of over a dozen Big Data connectors as part of its open source “Big Data Reporting” project, as well as beta connectors for selected Big Data proprietary databases, therefore, is a significant move on their part. Native connectivity is important because this gives direct access for querying instead of doing a data dump to a traditional system and then running the queries.

With this release, Jaspersoft supports the following data stores:

Hadoop – Hadoop via the Hive SQL interface, the Avro file format and by reading files directly from HDFS as well as HBase
NoSQL – NoSQL Technologies via Cassandra, MongoDB, Riak, HBase, CouchDB, Neo4J, Infinispan, VoltDB and Redis. A connector for proprietary NoSQL technology is in beta for VMware GemFire
MPP Analytics Database – IBM’s Netezza MPP analytic database data warehouse and soon will add commercial analysis support. Vertica and EMC Greenplum are also supported.

A big reason why they could easily support Big Data technologies is their flexible architecture (they introduced in Version 4). With more and more Fortune 500 companies using Hadoop and other NoSQL technologies, Jaspersoft’s support makes it easy for analysts to use the reporting engine by connecting it directly to the data source. There is a tremendous savings in connecting directly to big data sources than use a work around.