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Stateless Kafka Transformation with AutoMQ
🚀 The Stateless Kafka Revolution is Here!
With the rise of cloud computing and S3 object storage services, a new era of stateless Kafka architecture has become possible. Leveraging S3 as a shared storage solution, the industry is witnessing a transformative shift in how Kafka is implemented and scaled.
Among the leading stateless Kafka solutions, AutoMQ stands out as the industry's pioneer. AutoMQ is the earliest fully functional GA stateless Kafka solution, and it’s the only open-source option that is fully compatible with native Kafka.
Key milestones for AutoMQ include:
✅ The earliest fully functional GA
✅ The only full compatibility with native Kafka
✅ Upcoming support for Kafka 4.0
✅ The largest scale of public customers
✅ The only open-source solution
✅ High-performance with low latency( P99 < 10ms)
Other notable players in the stateless Kafka space include:
▪️Warpstream: Supports transactions from January 14, 2025, but sacrifices latency.
▪️Confluent Freight Cluster: GA on February 3, 2025. Latency is sacrificed.
▪️BufStream: Compatibility with API 3.7.1, but not with older APIs, and sacrifices latency.
**▪️Redpanda Cloud Topics: ** Early access starting September 12, 2024. Unknown compatibility.
▪️Ursa: GA on March 17, 2025, with compatibility details still unknown.
AutoMQ's commitment to innovation and open-source principles makes it a unique and powerful option for organizations looking to harness the benefits of stateless Kafka. Join the stateless Kafka revolution and explore the future of high-performance, scalable, and cloud-native data streaming with AutoMQ! 🌐
- What is automq: Overview
- Difference with Apache Kafka
- Difference with WarpStream
- Difference with Tiered Storage
- Compatibility with Apache Kafka
- Licensing
- Deploy Locally
- Cluster Deployment on Linux
- Cluster Deployment on Kubernetes
- Example: Produce & Consume Message
- Example: Simple Benchmark
- Example: Partition Reassignment in Seconds
- Example: Self Balancing when Cluster Nodes Change
- Example: Continuous Data Self Balancing
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S3stream shared streaming storage
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Technical advantage
- Deployment: Overview
- Runs on Cloud
- Runs on CEPH
- Runs on CubeFS
- Runs on MinIO
- Runs on HDFS
- Configuration
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Data analysis
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Object storage
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Kafka ui
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Observability
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Data integration