Percona Live Online

The more companies strive to make sense of their (big) data and use it to generate insights or enhance their products, the more developers face the inability of popular databases, query engines, and developer tools to provide low latency and high concurrency for analytical queries. In this talk, you'll learn how to overcome the limitations and architectural nuances of said tools and get operational analytics capabilities for your applications regardless of the underlying data store and data volume. We'll explore how you can bootstrap performant APIs with [Cube.js](https://cube.dev?ref=percona-live), an [open-source](https://github.com/cube-js/cube.js) analytical API platform which works with any SQL-enabled database or query engine. In the end, we'll use reproducible performance testing to prove the viability of the suggested approach and reassure you that your analytical APIs can perform with sub-second latency under heavy load.