Rockset Enables Real-Time Analytics for MySQL and PostgreSQL

Rockset has announced new integrations for MySQL and PostgreSQL.

San Mateo-based Rockset provides a real-time database in the cloud, and is backed by Greylock and Sequoia.

According to Rockset, with its new MySQL and PostgreSQL integrations, developers can rely on their favorite relational databases for online transaction processing (OLTP) while using Rockset to power real-time analytics at cloud scale. This reduces the load on the primary OLTP database, because Rockset handles the heavy analytical queries that could otherwise add significant cost and risk to the primary database.

According to Rockset, as the world moves from batch to real-time analytics, and from analysts running manual queries to applications running programmatic queries, traditional data warehouses are falling short. Through the power of Rockset, developers using MySQL and PostgreSQL can:

  • Run sub-second analytical queries including JOINS with other databases, lakes, or event streams.
  • Achieve better database performance by isolating analytical queries on Rockset, which in turn scales horizontally in the cloud.
  • Power fast microservices using developer SDKs or deliver real-time reporting using one of Rockset’s integrations with visualization tools including Tableau, Retool, Redash, and Superset.

Built by the creators of RocksDB, Rockset automatically builds a Converged Index on any data—including structured, semi-structured, geographical, and time series data—for high-performance search and analytics at scale. When combined with serverless operations, the company says, it is a game-changing approach for real-time analytics that is applicable across a broad range of digital platforms and apps, including e-commerce, logistics and delivery tracking, gaming leaderboards, fraud detection systems, health and fitness trackers, and social media newsfeeds.

For more information, go to