Confluent Kafka support added to FastStream v0.4.0rc0
FastStream - https://github.com/airtai/faststream, a stream processing framework, already supports Kafka stream processing using the aiokafka library, as well as other brokers such as Redis, RabbitMQ, and NATS. Responding to popular demand, the latest 0.4.0rc0 version introduces support for Kafka stream processing using Confluent Kafka's Python library - https://github.com/confluentinc/confluent-kafka-python. Please take a look at it and let us know what you think: https://faststream.airt.ai/0.4/confluent/ Wondering why and how…
What it does
In the maker’s words, at launch
FastStream - https://github.com/airtai/faststream, a stream processing framework, already supports Kafka stream processing using the aiokafka library, as well as other brokers such as Redis, RabbitMQ, and NATS. Responding to popular demand, the latest 0.4.0rc0 version introduces support for Kafka stream processing using Confluent Kafka's Python library - https://github.com/confluentinc/confluent-kafka-python. Please take a look at it and let us know what you think: https://faststream.airt.ai/0.4/confluent/ Wondering why and how we created FastStream? We've documented that in this short blog post - https://dev.to/airtai/how-we-deprecated-two-successful-projects-and-joined-forces-to-create-an-even-more-successful-one-3lon
Does the same job
all alternatives →- A1AutoMQ 1.5.0 released, providing native Iceberg support for Kafka2025 · github.com · ▲9
AutoMQ is a fully open-source, next-generation Kafka built on top of S3. Version 1.5.0 is a very important release. In March of this year, Confluent officially launched the commercial capability of Tableflow. Now, with the AutoMQ open-source software, you can also experience this killer feature. Simply put, for Kafka streaming data, AutoMQ can automatically store it in S3 in Iceberg Table format, so you no longer need to manage Flink Jobs and Spark Jobs yourself to perform ETL operations and convert Kafka data into table format. We believe this will be the new paradigm for Kafka stream data…
- RTReal Time Stream Processing Startup2020 · ▲6
We are working on a product which makes stream processing easy for data analysts and data scientists. It’s a higher level alternative to Flink, Kafka Streams and Spark Streams. As well as making stream processing simpler, we also felt that lots of people were building these AWS stream processing platforms based on Kafka and something like Flink so wanted to offer this as a service. We would welcome any input on the space or approach: Home page: http://Timeflow.systems Demo: https://youtu.be/fGfgBaHXOkE

Streambench – Native Mac Client for Kafka and NATS23d ago · streambench.app · ▲13When building Hookie, I worked with NATS Jetstream a lot. While you can do everything using the CLI, I prefer the feeling of a nice GUI better. So I built one.
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