Inspect & search
Search, filter, and produce messages across one or many topics, in seconds.
Kpow is a single UI for Apache Kafka that lets your team search, inspect, manage, and govern every cluster, with no extra infrastructure to maintain, no vendor lock-in, and no command-line workarounds.
Trusted by engineers running Kafka at scale
Debugging a stuck consumer means switching between kafka-consumer-groups.sh, kafka-topics.sh, and whatever dashboard happens to be open. Kpow gives you one interface for search, schema inspection, and multi-cluster visibility. It's free, with no contract to sign before you know it fits.
Give every team self-service Kafka operations without becoming the bottleneck.
Meet compliance requirements with RBAC, data masking, and full audit logging.
Manage hundreds of clusters and thousands of engineers from one interface.
Get a trusted, regularly updated application.
Kpow connects to any Kafka-compatible broker and schema registry, and runs as a single container in your own environment, any cloud, or self-hosted.
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Kpow for Apache Kafka
Single container image
Inspect
Manage
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Kafka providers
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Infrastructure
Deploy in minutes, with full visibility and control across every cluster you connect.
Search, filter, and produce messages across one or many topics, in seconds.
Real-time metrics across brokers, topics, and consumer groups, the moment you connect.
Automated health scoring across brokers, topics, and consumer groups.
Create and configure topics, connectors, and ACLs directly from the UI.
The same OpenAPI 3.1 REST API as Enterprise, enabled with one environment variable.
Role-based access control, data masking, and a complete audit log for enterprise compliance.
Find any message across one or many topics, in whatever format it's stored, then act on what you find.
Regex and grouped views scan millions of messages in seconds, across one topic or many.
Filter with built-in kJQ, search by key, or stream results as new messages arrive in real time.
Avro, Protobuf, and JSON Schema decode automatically, alongside every standard serde.
Send messages directly to a topic, including batch import and editing an existing message before reproducing it.
Export search results, copy to clipboard, or produce them straight to a different topic.
See the live state of your Kafka environment the moment you connect, with metrics and comparisons across every resource type.
Summary information across brokers, topics, and consumer groups, with a live mode for real-time updates.
See lag by group, topic, partition, host, and broker, all at once, plus automatic detection of every Kafka Streams application.
Filter and compare resources side by side, with insights surfacing under-replicated partitions, inactive consumers, and stalled offsets.
Signals applies our team's experience running Kafka at scale to surface the issues that matter, before they become incidents.
Errors, warnings, and OK counts summarised at a glance.
Flags unbalanced data distribution and unbalanced leader partitions.
Surfaces misconfigurations, partition skew, replication factor, and under-replicated partitions.
Give your team the ability to act on Kafka directly, instead of routing every change through whoever owns the CLI.
Create, copy, configure, and delete topics, with topic-level ACL management.
Create, pause, restart, and delete connectors, down to task-level stack traces.
Edit broker configuration and manage cluster-level ACLs.
Manage consumer offsets, skip poison-pill messages, and delete consumer groups.
Role-based access control, data masking, and a complete audit log give large teams the governance they need without slowing anyone down.
Role-based access control at global and resource level, with multi-tenancy isolation.
Isolate teams and business units on shared clusters, scoping each team's access to only the topics, consumer groups, and connectors they own.
SSO integration with Okta, Azure AD, KeyCloak, and any LDAP, SAML, or OAuth2 provider.
Data masking policies for PII, including credit card numbers, account identifiers, and health data.
A complete audit log of every action across every cluster, available via UI, webhook, or internal Kafka topic.
Route sensitive actions like topic creation through an approval workflow, so an administrator reviews and approves or denies them before they execute.
Most teams operate more than one Kafka distribution across multiple environments. Kpow works across all of them from a single interface, without requiring changes to your existing setup.
Kpow has no external database, no proxy layer, and no additional infrastructure to maintain. It connects directly to your Kafka cluster and runs as a single container via Docker, Kubernetes, or JAR.
One container and one configuration file are enough to have Kpow running in your environment within minutes. Because it's stateless, there's nothing to migrate when you upgrade or move clusters.
Kpow runs fully offline, with no data leaving your environment. For teams with strict network security requirements or regulatory constraints, it works the same way inside an air-gapped network as it does anywhere else.
Kpow is priced per cluster rather than per user or per seat. You pay for the clusters you connect, so your costs stay flat as your engineering team grows.
How platform and data engineering teams use Kpow to run Apache Kafka in production.
A German financial institution overcomes critical compliance gaps and operational inefficiencies to build a scalable, enterprise-grade streaming data platform.
Read case study
South Korean e-commerce marketplace Gmarket replaces Confluent's licensed Control Center with Kpow, giving 150 users across production and development self-service Kafka operations.
Read case study
A US healthcare technology company brings Kafka support in-house, saving $150,000 a year, after Kpow gave its middleware team the visibility to manage the platform with confidence.
Read case study“Kpow provides much-needed transparency across our Kafka event streams. I run a large production system comprised of 50+ micro services all of which have a dependency on Kafka. Without Kpow our operational abilities would be significantly compromised.”
Alex H.
G2 review
“A nifty UI for understanding our Kafka clusters and topics without needing to resort to the command line. A tool ops and developers can both use alike.”
Financial Services
G2 review
“Kpow for Apache Kafka is a really powerful tool, which offers fast visibility, and the debugging it provides makes it structured and organized.”
Snehal Jain
PeerSpot review, VHI
“The most helpful about Kpow for Apache Kafka is the easy setup, support for multiple types of schemas (Avro, Protobuf and more), fair price, nice to use and clean UI.”
Sidnei D.
G2 review
“The best features Kpow for Apache Kafka offers include a single UI, no extra infrastructure, powerful message search, security and compliance, multi-cluster operations, and operation efficiency.”
Nikhil Thapa
AWS Marketplace review
Support for multiple Kafka clusters, role-based access control and multi-tenancy, data masking for PII, a full audit log with staged approval workflows, SSO integration, and priority support.
$4,500 per cluster per year, for up to 100 users. You pay for the clusters you connect, so your costs stay flat as your engineering team grows.
Kpow Community Edition covers topic search and inspection, consumer group and offset management, schema registry and Kafka Connect management, and the REST API, for up to 3 clusters and 10 users. Enterprise removes those limits and adds RBAC, data masking, SSO, and a full audit log. See the full comparison.
Yes. Kpow integrates with Okta, Azure AD, KeyCloak, and any LDAP, SAML, or OAuth2 provider.
RBAC applies at both the global and resource level, with multi-tenancy isolation, so you can separate what different teams and users can see and do across your clusters.
Yes. Every action across every cluster is logged and available via the UI, webhook, or an internal Kafka topic, with staged approval workflows for sensitive operations.
Kpow runs fully offline with no data leaving your environment, working the same way in an air-gapped network as anywhere else. It supports any Kafka-compatible broker, including Apache Kafka, Amazon MSK, Confluent Cloud and Platform, Redpanda, Aiven, StreamNative, and Google Cloud Managed Kafka.
Start with the free version and have Kpow running in your environment in minutes via Docker, Kubernetes, or JAR. If you're evaluating Kpow at scale, get in touch and we'll walk through how it fits your environment.
Solo developer or smaller team? Explore Kpow Community Edition