IBM Db2 Big SQL

IBM Db2 Big SQL is an enterprise-grade, hybrid SQL-on-Hadoop engine designed to enable advanced and secure data queries across a range of enterprise big data sources. It is ANSI-compliant and supports massively parallel processing (MPP), allowing organizations to perform complex and ad hoc queries efficiently. The platform is capable of accessing and analyzing both batch and real-time data from sources such as Hadoop HDFS, WebHDFS, relational database management systems (RDMS), NoSQL databases, object stores, and data warehouses.

A notable feature of Db2 Big SQL is its ability to offer a single database connection or query that spans disparate data sources. This federation capability allows users to work with data stored in different formats and platforms without the need for multiple connections or complex data movement. The engine supports low latency and high performance, enabling concurrent exploitation of Hadoop SQL queries across Hive, HBase, and Spark. This flexibility is intended to support real-time analytics and make data readily available for data scientists and analysts.

Db2 Big SQL can be deployed across public and private cloud environments as well as on-premises, providing hybrid cloud flexibility. Its architecture allows organizations to shift workloads according to their requirements, ensuring scalability and adaptability to changing business needs. The platform is available on IBM Cloud Pak for Data, further integrating it into IBM’s data ecosystem.

Security is emphasized as a core aspect of the platform, with features aimed at delivering secure data queries. Overall, IBM Db2 Big SQL serves as a hybrid solution for enterprises seeking to query and analyze data across a variety of big data environments using familiar SQL standards.