Integrate Every Data System Category
Build pipelines across CDC databases, data warehouses, data lakes, object storage, search systems, SaaS apps, and cloud services.
Fully Managed Infrastructure
AutoMQ manages Connect workers, deployment, configuration, and runtime operations in your Kubernetes environment, so teams can focus on pipeline logic.
Automatic Scaling
Connector workers scale with workload signals such as CPU, throughput, and task demand. Handle traffic spikes without manual worker sizing.
Kafka Connect Ecosystem Compatible
Use officially tested system plugins or upload standard Kafka Connect custom plugins when your runtime dependencies and network access are available.
Built-In Monitoring
Real-time logs, metrics, and built-in export integrations help you track throughput, task health, record failures, and connector-level anomalies.
Aligned with Diskless Kafka
Managed Connector follows AutoMQ's locality-aware data path, helping pipelines preserve the Zero cross-AZ traffic benefits of diskless Kafka.
How It Works
AutoMQ Managed Connector runs Kafka Connect workers on Kubernetes inside your cloud account. Source connectors capture changes from your databases and services, AutoMQ stores streams on its diskless architecture, and sink connectors deliver data to destinations with managed scaling, metrics, and locality-aware configuration.
Integration Categories
Stream data seamlessly between Kafka and your data systems through system plugins, standard Kafka Connect custom plugins, and managed runtime operations.
Databases
- CDC databases with Debezium
- Relational databases
- Document databases
- Search and cache systems
Warehouses & Lakes
- Data warehouses
- Object storage
- Data lake formats
- Analytical databases
SaaS & Cloud Services
- SaaS applications
- Cloud messaging services
- HTTP / JDBC / MQTT
- Custom Connectors
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See Managed Connector in Action
Experience how easy it is to set up and manage Kafka connectors with AutoMQ. Watch the interactive demo below to see the complete connector deployment workflow.
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Powering Your Kafka Ecosystem
Go beyond basic Kafka with enterprise‑grade solutions for seamless migration, managed connectors, multi‑cluster resilience, and lakehouse integration—all in one unified platform.
Table Topic
Natively integrates Iceberg/Delta Lake table formats to auto-convert Kafka topics into query-ready tables without ETL pipelines.
Managed Connector
300+ connectors with 100% compatibility with Kafka upstream and downstream ecosystem.
AutoMQ Linking
Zero-downtime migration from any Kafka. Byte-for-byte replication. Rolling cutover. Done.
Multi-Cluster DR
Unified access point for multiple clusters with transparent topic cluster switching through proxy metadata routing for disaster recovery capabilities.
FAQs
Don't see an answer to your question? Check our docs, or contact us.
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