Ingest data from all your real time sources in pure Python. Use out of the box connectors or customise connector templates for more flexibility.
Check out the full list of connectors
Flexible data ingestion
Quix provides out-of-the-box connectors for many sources and destinations, including databases, data lakes and data warehouses. But they are not a black box: Quix has a simple workflow to fork any connector into your own Git repository so you can customise it to your use case.
Powerful pre-processing
Quix’s open-source Python library for pre-processing enables you to transform your data in-stream using a tabular data format. This is critical for raw data that is not optimal for Iceberg or other lakehouse formats. With Quix you can easily restructure your data before sinking it into your storage to avoid expensive ETL jobs.
Delivery guaranteed
Quix’s serverless infrastructure provides low-level scalability, resiliency and durability features. Quix also handles backpressure, state, checkpointing and exactly once semantics to ensure no data is duplicated or lost, and your database systems aren’t overloaded.
Data governance
Quix provides a suite of tools to reliably manage, protect, and optimize the data within your organization. Projects, environments, permissions, auditing, monitoring, lineage and observability tools ensure your teams can innovate whilst the business maintains control of sensitive production data.
Full ownership and control
When Quix runs entirely in your on premise environment, you have full ownership and control over your data and infrastructure. Our team is still there to support you.
Low latency even at serious scale
Run Quix Edge with your applications on your existing infrastructure for extra low latency, and avoid excessive cloud costs for seriously large data volumes.
Circumvent network and security concerns due to remote locations or firewalls.
