Quix Cloud

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.

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.

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.

Quix provides a medallion architecture to organize your data before loading it to your lakehouse. As you progressively improve the quality of your data through each data tier, you can tag streams as Bronze, Silver and Gold. Automatically validate and evolve the structure of your data with a Schema Registry.

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.

Integrate your data with your data lake for a fraction of the typical cost and with greater control, compared to popular streaming solutions such as AWS Kinesis Firehose or SaaS tools like Fivetran. You can also operate Quix Cloud in your account to benefit from long-term commitments or run on-prem with Quix Edge.