Opteryx
Query your data, where it lives.
One interface, endless possibilities - effortless cross-platform data analytics.
Transform your data analytics experience with Opteryx, where simplicity meets efficiency. Acces data across diverse sources with ease, gaining quicker insights and streamlined integration. Discover the future of data management – all powered by our SQL-on-everything approach.
Features
Multi-platform
Runs most places you can run Python; GCP, AWS, Azure, Kubernetes, Knative, your own servers or a Raspberry Pi.
In-Place Analytics
Query across multiple data siloes without the need for data migration or additional loading.
Simple to Use
Query your data with SQL, leveraging skills your data analysts already have.
Elastic & Available
Scale from zero to thousands of concurrent queries within seconds to meet demand.
Time Travel
Revisit past data points to replay decisions based on historical facts, enabling better analyses.
Open Source & Extensible
Opteryx invites contributions from all. Fork, extend, and be part of the community.
Use Cases
Simplify your analytics workflow with Opteryx by unifying SQL queries across multiple platforms effortlessly.
Leverage Opteryx to query data generated by other processes, such as real-time log files.
Utilize Opteryx as a CLI tool to harness the power of SQL for filtering and transforming data files on-the-fly.
Embed Opteryx as an engine to provide a cost-effective way for analysts to operate part-time, personalized databases.
Resources to Get Started
Read the Docs
Helpful for new and experienced users, our documentation includes information on how to setup, configure and use Opteryx.
Run Examples
Try out the example Binder Notebooks to get you started.