Quix Cloud

Enable your data teams to develop, deploy and govern connectors and pipelines.

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 quality

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.

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.

Lower TCO

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.

Build data integration pipelines in minutes

Ingestion
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
Transformation
Prepare your data with QuixStreams, our open source Python library for processing data in real time with streaming DataFrames. Use in-built operators for aggregation, windowing, filtering, group-by, branching, merging and more.

Enrich your data by connecting a cache.
Sink
Sink data to any database, lake or warehouse. Or send data back to your product.

Check out the full list of connectors
Ingestion
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
Transformation
Prepare your data with QuixStreams, our open source Python library for processing data in real time with streaming DataFrames. Use in-built operators for aggregation, windowing, filtering, group-by, branching, merging and more.

Enrich your data by connecting a cache.
Activation
Sink data to any database, lake or warehouse. Or send data back to your product.

Check out the full list of connectors

Maintain real-time applications securely and reliably

Secure

ISO27001 compliant

Certified to the most stringent industry standard for information security. Rest assured your data and code is in safe hands.

Performant

Low latency at scale

Built by Formula 1 engineers and in production with Formula 1 teams, Quix is built to process high volume and velocity data with low latency.

Reliable

99.99% uptime SLA

Forget downtime. Quix is designed to deliver high availability for the most demanding use cases.

Trusted by Engineers at

Interested in Quix Cloud?

Learn how companies are building data integration pipelines with Quix.

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Quix Cloud pipeline

Get started with Quix Streams

An open source library for processing data in Kafka using pure Python.

Quix Streams repo