Build Data Products Faster
DataSQRL is an open-source compiler for data microservices that eliminates data plumbing so you can ship streaming data products in days instead of months.
With DataSQRL = Build Quickly
Without DataSQRL = Data Plumbing Nightmare
How DataSQRL Works
Implement your data processing in SQL and define your data API in GraphQL.
DataSQRL compiles streaming data microservices that are robust, scalable, and easy to maintain.
Use Cases
Data Mesh
DataSQRL empowers domain teams to develop robust data products autonomously. Build a self-service data platform with existing skills.
Observability & Automation
Build tailored observability platforms that turn your metrics into insights. Automate your processes with custom rules and AIOps.
Why DataSQRL?
To compete, you need to unlock the value of your data by building data products. But assembling complex technologies into bespoke microservices wastes most of your time on data plumbing, which causes 85% of data products to fail. DataSQRL eliminates data plumbing so you can focus on enriching your data to deliver value quickly.
How DataSQRL Helps Your Team
Saves You Time
DataSQRL allows you to focus on your data processing by eliminating the data plumbing that strangles your data microservice implementation with busywork: data mapping, schema management, data modeling, error handling, data serving, API generation, and so on.
Easy to Use
Implement your data processing with the SQL you already know. DataSQRL allows you to focus on the "what" and worry less about the "how". Import your functions when SQL is not enough - DataSQRL makes custom code integration easy.
Fast & Efficient
DataSQRL builds efficient data microservices that optimize data processing, partitioning, index selection, view materialization, denormalization, and scalability. There actually is some neat technology behind this buzzword bingo.
Fully Customizable
Open Source
