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AutoMQ: The Superior Cloud Native Kafka Alternative
Apache Kafka was designed over a decade ago for traditional IDC environments. However, as cloud computing has surged, Kafka's architecture has struggled to keep pace with modern demands. Many users find that Kafka no longer meets their needs in the cloud era, facing challenges in performance, cost, and scalability.
Enter AutoMQ, the ultimate Kafka alternative that excels in the cloud. Here's why AutoMQ should be your go-to choice:
Better Performance Without Any Sacrifice
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AutoMQ: No performance drop caused by disk reads and higher peak throughput.
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**Apache Kafka: ** Performance can degrade due to disk reads.
10x More Cost-Effective
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AutoMQ: Eliminates all cross-AZ traffic fees and reduces storage costs by 80%.
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**Apache Kafka: ** Higher costs due to traditional architecture.
Advanced Architecture
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**AutoMQ: ** Object storage-based with a stateless broker, scaling in seconds.
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**Apache Kafka: ** Stateful architecture, scaling in hours/days.
Easy to Migrate
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**AutoMQ: ** 100% compatible with Apache Kafka, offering zero downtime and offset preserved migration.
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**Apache Kafka: ** Migration can be complex and time-consuming.
Built-in Data Lake Integration
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**AutoMQ: ** Automatically converts Kafka topics to Iceberg tables (Zero-ETL).
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Apache Kafka: Requires additional tools and processes for integration.
**Kubernetes Native **
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**AutoMQ: ** Fully compatible with Strimzi and Bitnami Kafka.
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**Apache Kafka: ** Native Kubernetes support is limited.
Production Ready
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AutoMQ : Proven to handle 50 GB/s big clusters, trusted by major enterprises.
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**Apache Kafka : ** Requires significant tuning and resources.
Flexible Deployment
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**AutoMQ : ** Offers managed cloud BYOC, self-hosted/on-premise, and open-source deployment options.
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**Apache Kafka : ** Limited flexibility in deployment models.
With AutoMQ, you get a modern, cloud-native solution that outperforms Apache Kafka in every critical aspect. Whether you're looking for better performance, cost savings, or seamless integration with your existing infrastructure, AutoMQ is the clear choice.
Explore the future of 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