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

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.

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.

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, ...

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 ...

While OLTP databases sometimes also support analytical queries, that functionality is often performed in separate OLAP (online analytical processing) databases or data warehouses.