Quix
Python stream processing library and cloud platform
About Quix
Quix offers Quix Streams, an open source Python library for processing Kafka data, and Quix Cloud for deploying and managing streaming applications. It targets engineers who prefer Python over JVM-based tools. Typical uses include IoT, machine data and ML pipelines.
Common use cases
- Machine data processing
- Real-time ML features
- Event enrichment
- IoT streaming
Products and services
Quix Streams
Open source Python stream processing library.
Quix Cloud
Managed environment for deploying streaming apps.
Key features
- Python streaming
- Kafka integration
- Stateful processing
- Pipeline deployment
- Git workflows
- Connectors
Integrations
- Apache Kafka
- Redpanda
- Confluent Cloud
- InfluxDB
- PostgreSQL
- Kubernetes
Quix alternatives
- AFApache Flink
- FAFaust
- BYBytewax
- ConfluentData streaming platform built around Apache Kafka and Flink
FAQs
Which language does it use?
Python.
Does it need Kafka?
It is built around Kafka-compatible brokers.
Is it open source?
Quix Streams is open source.

Work at Quix? Request updates to this profile. Update this profile
Compare with similar providers
All Data Infrastructure providers- AivenManaged open source data infrastructure across clouds
- AtomBeamAI-based data compression that cuts bandwidth and storage
- AVEVAIndustrial software for engineering, operations and industrial data
- ConduktorKafka governance, security and management platform
- ConfluentData streaming platform built around Apache Kafka and Flink
- ConvivaStreaming experience and engagement analytics platform
- CrateDBDistributed SQL database for real-time analytics on time series and IoT data
- CriblData engine for routing and shaping IT and security telemetry
Become a Sponsor



