The rise of these specialized databases and OLAP systems has allowed organizations to offload non-transactional or analytical workloads from OLTP systems. For example: ...

Online analytical processing (OLAP) databases are purpose-built for handling analytical queries. Analytical queries run on online transaction-processing (OLTP) databases often take a long time to ...

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, ...

Google has updated its managed database service — Spanner — with a new columnar engine to help enterprises run complex analytical queries on real-time transactional data for better decision ...

With this emphasis on reading only, OLAP systems enjoy a speed advantage over their OLTP cousins. However, a read-only approach to the database architecture is not the only distinction of the OLAP ...

This architecture, which eliminates the need for separate OLAP and OLTP systems, also reduces costs and complexity by eliminating the need for separate databases, hardware and skill sets for analytics ...

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