CIOPages
DirectoryData & AnalyticsStreaming & Real-Time AnalyticsKubeMQ

KubeMQ

About KubeMQ

KubeMQ has been building enterprise messaging since 2020.

Products

  • Management console: A console for inspecting cluster health, using per-protocol views and managing settings, available in six languages.

Used for

  • Distributing jobs between workers with controls for delivery, retries and failed messages.
  • Broadcasting real-time events to active subscribers.
  • Persisting events and replaying them from a chosen point to rebuild state or reprocess history.
  • Requesting an action or retrieving data with a response, connecting services through KubeMQ.

Who it is for

  • Used by S&P 500 companies.
  • Used by government organizations.
  • Intended for production teams.

From KubeMQ'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 KubeMQ. 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

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

kubemq.io Pricing page
CategoryData & Analytics
SubcategoryStreaming & Real-Time Analytics

We publish a detail only when we can point at the page it came from. Know when KubeMQ was founded or where it is based? Send it to us, free.

Keep reading

Buyer Guide
Real-Time Analytics Databases
Job 02
Govern the AI already in use

Staff already use AI tools nobody approved, and most SaaS products now ship AI features by default.

Job 03
Choose and buy technology

Every vendor now sells AI features, and each contract runs for years.