Side by side
Materialize vs Quix Streams
Both stand on stream analytics software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan APILinuxSelf-hosted+1
Materialize combines incremental SQL processing with managed and self-managed deployment options. Review the Community Edition limits and separate Cloud usage charges before choosing a plan.
Visit Materialize Free plan LinuxSelf-hosted
Choose Quix Streams if you are building Kafka-based real-time applications in Python and want stateful processing, windowed aggregations or exactly-once guarantees. Look elsewhere if you need SQL processing or a Schema Registry offered and configured directly through Quix Cloud.
Visit Quix StreamsThe facts
| Materialize | Quix Streams | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API, Linux, Self-hosted, Web | Linux, Self-hosted |
| Lowest paid plan | See the plans | Free or on request |
| Plans published | 4 | 1 |
| Maker | Not published | Not published |
| Website | materialize.com | quix.io |
| On stream analytics software | #14 of 26 | #18 of 26 |
Materialize: what it does well
- Incrementally updates results as new data arrives
- Connected sources have sub-second freshness
- PostgreSQL wire compatibility supports PostgreSQL-oriented SQL tools
- Sends transformed updates to Kafka and Apache Iceberg
- Cloud states encryption at rest and in transit
What to know first
- Community Edition is limited to 24 GiB memory and 48 GiB disk
- Cloud On-Demand bills compute, storage, and networking by usage
- Cloud Capacity bills storage and networking separately
Quix Streams: what it does well
- Open-source Python library with no listed charge.
- Supports stateful processing using RocksDB.
- Offers at-least-once and exactly-once processing guarantees.
- Supports multiple serialization formats, including Avro and Protobuf.
- Can run locally and in Jupyter Notebook.
What to know first
- A Kafka broker is required.
- Quix Cloud does not offer a Schema Registry.
- The library supports Python, not SQL processing.
Alternatives to Materialize Alternatives to Quix Streams The whole list