Tableau provides a number of relational databases and Hadoop connectors to empower business users to quickly and easily analyze rapidly growing data volumes. Tableau connectors integrate with Hadoop via the Hive layer, or using a SQL-on Hadoop technology, and with relational databases using native connectors or ODBC.

IBM and Tableau have a history of working together to enable seamless integration between the Tableau platform and IBM Hybrid Data Management technologies. With direct connectors to IBM Db2 Warehouse and IBM Big SQL, analyzing your data is easier than ever.

Tableau and IBM Db2 Warehouse

IBM Db2 Warehouse, based on an innovative in-memory columnar storage technology, is a high performance, massively scalable data warehouse solution. IBM Db2 Warehouse is available in multiple form factors including on premise, public cloud and as part of the IBM Integrated Analytics System sharing a common SQL engine for better portability.

Tableau in conjunction with IBM Db2 Warehouse enables self-service analytics with sub-second performance. In addition to performance, scalability and storage savings, IBM Db2 Warehouse also has a number of in-database analytics capabilities that help perform analytics closer to the data and avoid the latency in moving data outside of the data warehouse.

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Tableau and IBM Big SQL

IBM Big SQL is a SQL engine on Hadoop (Hive, HBase or HDFS). The core capabilities include federation, SQL compatibility, scalability, performance and enterprise security, making it a desirable query engine to derive insights from diverse data sources including Hadoop.

See how easy it is to use Tableau as the visual analytics front-end to IBM Big SQL, allowing users to focus on asking the questions of their data and not have to worry about writing queries or scripts to generate reports.

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