.svg)
What can you build with Quix?
Integrate your data your way
Quix provides out of the box connectors for many destinations, including databases, data lakes and data warehouses. Unlike alternatives like Kafka Connect, they are not a black box: you can fork them into your own Git repository and customise them to your use case.
Pre-process data in a tabular data format
Quix’s open source Python library for stream processing, Quix Streams, enables you to transform your data in stream using a tabular data format. You can also aggregate, join, downsample or enrich data from any cache or external system.
Pure Python
Both connectors and transformations are written in pure Python, so data engineers and scientists can easily customise data ingestion pipelines. Specialized Source, Processing and Sink API’s take care of the heavy lifting so you can get the job done with less headaches.
No throughput limits
Send as much data as you want, Quix’s serverless infrastructure will be able to handle it. The Quix connectors will also handle any backpressure and checkpointing to ensure no data is duplicated or lost, and your systems aren’t overloaded.
No limits on how you structure your data
If your raw data has lots of nested layers that are not optimal for Iceberg, you can easily re-structure your data before sinking it to your cloud object storage.
