AutoMQ
About AutoMQ
AutoMQ can be deployed across multiple cloud providers.
Products
- AutoMQ BYOC: Runs AutoMQ inside the customer's own cloud account and VPC, managed by AutoMQ.
- Table Topic: Integrates Iceberg/Delta Lake table formats to convert Kafka topics into query-ready tables.
- Managed Connector: Provides connectors compatible with the Kafka upstream and downstream ecosystem.
- AutoMQ Linking: Performs migration and replication from existing Kafka deployments.
- Multi-Cluster DR: Provides a unified access point across multiple clusters for disaster recovery.
Used for
- Scaling brokers automatically based on traffic
- Migrating from existing Kafka clusters
- Converting Kafka topics into query-ready tables
- Switching between clusters for disaster recovery
Who it is for
- Platform teams that already manage Kubernetes infrastructure.
- Teams that want a managed Kafka experience without moving data out of their cloud account.
- Data engineering platform teams, as referenced by a customer example.
From AutoMQ's own website, read 2026-10-23. How we build listings.
How to evaluate Streaming & Real-Time Analytics
This is how the CIOPages Research Team evaluates this category. It is not an assessment of AutoMQ. It comes from our Streaming Data & Event Processing buyer guide.
25%
Throughput, Latency & Durability
Sustained throughput and tail latency at your partition count, ordering and exactly-once / at-least-once delivery guarantees, replication and multi-AZ durability, retention limits, and behavior under broker failure and rebalancing
20%
Operating Model & Architecture
Self-managed vs. fully managed vs. serverless vs. bring-your-own-cloud, KRaft (post-ZooKeeper) operations, diskless / object-storage-backed options, autoscaling, partition rebalancing, and upgrade and patching burden on your team
20%
Kafka-API Compatibility & Portability
Fidelity of the Kafka protocol (consumer groups, transactions, compaction), reuse of existing clients, connectors and tooling, lock-in to a single cloud, and the realistic effort to migrate in or out
15%
Stream Processing & Ecosystem
Native or integrated processing (Flink, Kafka Streams, Spark Structured Streaming, ksqlDB), connector catalog (CDC, sinks, sources), schema registry and governance, and direct landing into Iceberg / Delta lakehouse tables
10%
Security, Governance & Compliance
Encryption in transit and at rest, mTLS / SASL / OAuth and RBAC, audit logging, private networking, data residency and BYOC data-boundary control, and SOC 2 / ISO 27001 / GDPR coverage
10%
Cost Model & Economics at Scale
Pricing unit (capacity / throughput / consumption), inter-AZ and egress charges, storage and retention cost, processing billed separately, and how the bill behaves as volume, partitions, and connectors grow
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Quick Facts
www.automq.com Pricing pageCategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics
PricingUsage-based / Pay-as-you-go
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