Despite the widespread use of PostgreSQL by app developers to manage transactional data, its use in analytic apps has been quite limited.

The preview feature aims to simplify real-time analytics on transactional data, reducing ETL complexity and boosting performance.

Today, more than 300 companies are relying on TiDB in production to meet their OLTP/OLAP, database scalability, real-time analytics, and unified storage needs.

OLTP systems provide means to highly efficient execution of a large number of small transactions and reliable access to data stored in the result of the transactions.

The 2.0 version of Splice Machine's relational database brings together the scalability of Hadoop and the in-memory performance of Spark.

Simba Technologies Inc., a provider of standards-based data access products, solutions and services for both relational and multi-dimensional data sources, has announced that Oracle's Technology ...

The startup, SnappyData, has developed an in-memory hybrid transactional analytics database that brings together OLTP, OLAP and Apache Spark to ease the pain of customers that until now have had ...

There’s no denying that analytic (i.e. OLAP) and transactional (i.e. OLTP) workloads put different demands on the underlying database. They have different I/O patterns, different latency expectations, ...