The data processing engine for InfluxDB
Built for processing data by time-series experts
Quix was founded by ex-McLaren Formula 1 engineers who built and managed their Telemetry Analytics Platform with InfluxDB.
Having an easy to use yet powerful data processing solution to pair with InfluxDB was the missing piece.
Quix has been tested to efficiently and reliably stream and process over 60,000 fields per measurement at kilohertz frequency per Field.
Work with a lightweight python library optimised for InfluxDB
Timestamps, Fields (we call them Values) and Tags. Quix Streams provides a high performance stream processing library with a time-series data model familiar to InfluxDB developers. Combined with InfluxDB 3.0, you can leverage Quix as a task-based engine to process your data in an automated workflow.
InfluxDB V2 to V3 migration made easy
Quix provides fully managed source and sink connectors for InfluxDB V2 and V3 to reduce the complexity of migrating between versions.
Quix also integrates natively with Telegraf, MQTT and OpenTelemetry so you can quickly build ingestion, ETL and alerting pipelines.
Get started in 3 steps:
1. Create a free Quix account.
2. Configure and deploy the InfluxDB Source connector to ingest data.
3. Add a Transformation from our samples library to start processing your data with your code.
It’s free to get started
Sign up now and start building your first event streaming app with free credits to use in compute and streaming.