Hydra provides serverless analytics capabilities directly on top of PostgreSQL, leveraging the power of DuckDB for analytical query processing. It's designed for businesses and developers who need to perform fast, real-time analytics on large datasets without the complexity of managing separate analytical databases or infrastructure.
The platform offers predictable, sub-second response times at any scale, featuring automatic caching, compute autoscaling, and bottomless columnar storage. It integrates seamlessly with existing Postgres-based stacks, supporting various programming languages like Node.js, Ruby, Java, PHP, Python, Go, Scala, and Clojure. Hydra aims to simplify the analytics workflow by allowing users to handle both transactional and analytical workloads within a single database.
Key benefits include ease of deployment, enhanced query performance, and the ability to build BI reporting and analytics directly within the application's database. It's particularly beneficial for startups and companies looking to boost and scale analytical query performance on Postgres without extensive performance tuning or data synchronization to separate systems.