Zero-ETL Architecture
Kafka topics materialize automatically as queryable Iceberg/Delta Lake tables—no ETL pipelines and no data duplication required.
Real-Time Data Availability
Streaming data becomes instantly queryable in the lakehouse. Enable real-time analytics and BI without waiting for batch jobs.
Native Iceberg Support
Full support for ACID transactions, time travel, schema evolution, and upserts—built for CDC, event sourcing, and real‑time pipelines.
Query with Any Engine
Use Spark, Trino, Flink, or any lakehouse‑compatible engine to query table topics directly. Avoid vendor lock‑in.
Automatic Schema Evolution
Schema changes in Kafka topics propagate automatically to lakehouse tables—no manual DDL or migration scripts needed.
S3 Table Integration
Seamlessly integrated with S3 Tables—just write data and let the system handle compaction automatically, with zero management.
Table Topic Use Cases
From real-time analytics to unified data platforms, Table Topic enables modern data architectures.
Real-Time Analytics & BI
Query streaming data directly from your BI tools (Tableau, Looker, PowerBI) without waiting for batch ETL. Get up-to-the-second insights with SQL queries on live Kafka data.
Streaming Lakehouse Architecture
Unify your streaming and batch workloads in a single lakehouse platform. Kafka topics become lakehouse tables, eliminating data silos and duplicate pipelines.
Data Science & ML Pipelines
Train ML models on fresh streaming data stored in lakehouse tables. Access historical and real-time data with time travel for feature engineering.
Event-Driven Data Mesh
Build a decentralized data mesh where domain teams publish events as both topics and tables. Enable self-service analytics across organizational boundaries.
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Experience Table Topic
See how easy it is to convert Kafka topics into lakehouse tables with AutoMQ. Watch the interactive demo to see the complete workflow from topic creation to SQL queries.
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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.
Kafka 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.