Sold by: Factor House
Deployed on AWS
Enterprise-grade Kafka UI and API for deep visibility, precise control, and instant action across your ecosystem. Kpow is secure, vendor-agnostic, and trusted by Fortune 500s for managing Apache Kafka at scale.
4.7
Overview
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Unified observability across any Kafka provider
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Search and inspect messages across all topics
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Monitor broker health and performance in real-time
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Deep visibility into topic config and throughput
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Track consumer lag and group performance
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Product video
Kpow is the enterprise-grade toolkit for Apache Kafka that empowers engineering, SRE, and platform teams to manage, monitor, and troubleshoot their real-time data ecosystem with confidence.
Built by Kafka experts, Kpow provides a single, intuitive UI and a powerful API for managing your entire Kafka ecosystem, including Kafka Clusters, Connectors, Topics, Consumer Groups, and Schema Registries.
Deployed seamlessly on AWS (ECS, EKS, Fargate, EC2), Kpow is a secure, vendor-agnostic solution trusted by Fortune 500 companies to reduce operational risk and accelerate development velocity across their multi-cloud and hybrid environments.
Real-Time Visibility and Telemetry
Move beyond basic monitoring. Kpow gives you comprehensive, real-time insights into your entire Kafka topology:
- Full Kafka Topology: Instantly connect to and explore brokers, topics, partitions, consumer groups, offsets, and Schema Registry.
- Built-in Metrics: Track throughput, partition lag, message rates, offsets, and schema versions across your ecosystem without integrating external tools.
- Compute Console: Visualize and control consumption across your groups and topics.
- Vendor-Agnostic: Monitor any Kafka resource, including Amazon MSK, Confluent Cloud, Redpanda, Aiven, and self-managed clusters.
Deep Data Inspection and Troubleshooting
Accelerate root-cause analysis and confidently inspect data flows with powerful query capabilities:
- kJQ Predicates: Search and filter millions of messages instantly using Kpow's custom, JQ-like query language, the fastest way to inspect data on your topics.
- Natural Language Search: Search for messages using plain English by connecting an AI provider of your choice. Kpow converts your query into precise kJQ predicates to make advanced data inspection simple and accessible to everyone.
- First-Class Produce Support: Easily produce messages back to topics for testing, debugging, and replaying data flows.
- Data Lineage: Track message flows end-to-end for audit, compliance, and faster troubleshooting.
Safe, Governed Control and Automation
Perform critical operations with certainty. Kpow is designed for enterprise environments where governance, security, and auditable action are non-negotiable.
- Multi-Cluster Management: Manage up to 12 Kafka clusters from a single Kpow instance for cost-efficiency and operational simplicity.
- Open API: automate critical operations, such as connector management, topic configuration changes, and consumer group offset resets with our secure and auditable API.
- Enterprise-Grade Security: Run air-gapped and meet strict compliance requirements with Role-Based Access Control (RBAC), seamless Single Sign-On (SSO) via SAML, LDAP, OpenID, and comprehensive Audit Logs for all user actions. Data Governance: Enforce Data Masking and Redaction policies to protect sensitive PII and credit card data.
License and Deployment on AWS Marketplace
Kpow is the ideal companion to Amazon MSK, MSK Connect, and AWS Glue. Simply start the Kpow container in an EKS Pod or ECS/Fargate task and gain immediate insight and control.
Your AWS account will be billed on a 1, 2, or 3-year basis for Cluster Credits depending on your contract choice. Cluster Credits define the maximum number of Kafka Clusters you can manage with your Kpow installation.
The AWS Marketplace kPow container must run with IAM permissions to register your container usage with AWS. See our documentation for details:
https://docs.factorhouse.io/kpow/installation/aws-marketplace
Highlights
- Monitor any Kafka resource - MSK, Confluent Cloud, Red Panda, Aiven, Instaclustr, MSK Connect, AWS Glue, Managed Confluent Connect, MSK Serverless, and more.
- Search and filter millions of records from multiple topics in a flash with powerful JQ predicates, and produce messages back to topics with first-class Data Produce support.
- Run air-gapped and secure with Okta, OpenID, LDAP, SAML, Keycloak, HTTPS, RBAC, Multi-Tenancy, Data Masking, Audit Log, Prometheus and Slack integrations.
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Cluster Credits | Total Managed Kafka Clusters | $4,500.00 |
Enterprise Cluster Credits | Total Managed Kafka Clusters (Enterprise License) | $4,500.00 |
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Docker images
Supported services: Learn more
- Amazon ECS
- Amazon EKS
- Amazon EKS Anywhere
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Kpow v96.1, for full release notes see: https://factorhouse.io/releases/96-1
Additional details
Usage instructions
For information on IAM roles and configuration see:
https://docs.factorhouse.io/kpow/installation/aws-marketplace
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Support
Vendor support
Full Kpow product documentation is available at https://docs.factorhouse.io
For details of support options including training and installation sessions with the Kpow engineering team see
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Multi-Cluster Management
Manage up to 12 Kafka clusters from a single instance for centralized control and operational efficiency.
Advanced Message Query Language
Search and filter millions of messages using kJQ predicates, a custom JQ-like query language, with natural language search capabilities powered by AI integration.
Comprehensive Kafka Topology Monitoring
Real-time visibility into brokers, topics, partitions, consumer groups, offsets, and Schema Registry with built-in metrics tracking throughput, partition lag, and message rates.
Enterprise Security and Compliance
Role-Based Access Control (RBAC), Single Sign-On (SSO) via SAML, LDAP, and OpenID, data masking and redaction policies, comprehensive audit logs, and air-gapped deployment support.
Vendor-Agnostic Kafka Ecosystem Support
Monitor and manage any Kafka resource including Amazon MSK, Confluent Cloud, Redpanda, Aiven, and self-managed clusters with unified control and API automation.
SQL Query Engine
SQL engine for querying and analyzing streaming data within Apache Kafka and Amazon MSK environments
Data Governance
Granular controls and mechanisms for managing data access, compliance, and data lifecycle across Kafka clusters
Identity and Access Management
Granular IAM controls enabling role-based access and self-service permissions for engineers
Kubernetes Compatibility
Native support and readiness for deployment and operation within Kubernetes environments
Multi-Interface Operations
Multiple operational interfaces including UI, CLI, and as-code functionality for managing Kafka clusters
Stream Processing Engine
Apache Flink serverless service for real-time data filtering, joining, and enrichment without operational overhead
Data Connectors
120+ pre-built source and sink connectors for integration with AWS services including Amazon S3, Amazon Redshift, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Real-Time Analytics
Apache Iceberg table conversion from Kafka topics to enable downstream analytics across AWS services including Glue, Redshift, Athena, EMR, and SageMaker Lakehouse
Service Availability
99.99% uptime SLA coverage for core Kafka operations with enterprise-grade support and faster issue resolution
Cloud-Native Architecture
Fully managed, elastic, and auto-scaling clusters built on Apache Kafka and Confluent's cloud-native Kafka engine, Kora
Validated by AWS Marketplace
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Customer reviews
Nikhil Thapa
Unified monitoring has improved real-time visibility and simplified secure data diagnostics
Reviewed on Jun 08, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Kpow for Apache Kafka is that it functions as a monitoring tool. It was developed by Factor House and is used to observe, inspect, manage, and grow Kafka clusters. These are the capabilities you can view through a basic UI at an enterprise level where you can see your Apache Kafka infrastructure.
A specific example of how I use Kpow for Apache Kafka to monitor or manage my Kafka clusters includes real-time visibility for healthcare, broken state, consumer logs, under-replicated partitions, and Kafka stream topology. It also supports Prometheus metrics for integration and Grafana data logs. These are the aspects I have checked in terms of observability and monitoring. Apart from that, I also use it for some inspection and debugging.
I generally use Kpow for Apache Kafka to inspect, debug, and automate some processes for security purposes as well. The underlying single UI is also very good. Because of these capabilities, it is very feasible to use.
What is most valuable?
The best features Kpow for Apache Kafka offers that I have checked include a single UI, no extra infrastructure, powerful message search, security and compliance, multi-cluster operations, and operation efficiency. The handling of queues is very critical for my day-to-day work. With Kpow for Apache Kafka, you can monitor your Apache Kafka infrastructure and add some integration. The UI is very good. These are the capabilities that I use day by day.
Kpow for Apache Kafka has positively impacted my organization by being easy to manage. The development capabilities are very good, making it easy to integrate. You can also monitor data diagnostics. These aspects are beneficial to my organization. It makes development faster for this purpose.
What needs improvement?
I believe Kpow for Apache Kafka is already in a pretty good state. However, the default resource allocation is very limited. I would suggest they increase the best resource requirements. The default requires around 2 GB to 8 GB, which is relatively high for a UI tool that could be scaled through one CPU to 2 GB for a single cluster.
I chose the number eight because it has a very good GUI for handling Apache Kafka. However, there are some improvements that should be made. Since it is not a free tool and you have to pay for it, there is no testing possible without paying something. This is not ideal for those who want to try the free version.
There are no other improvements needed for Kpow for Apache Kafka that I haven't mentioned.
For how long have I used the solution?
I have been using Kpow for Apache Kafka for the last eight months since I started using Apache Kafka. I have used Kafka before.
What do I think about the stability of the solution?
Kpow for Apache Kafka is stable.
What do I think about the scalability of the solution?
Kpow for Apache Kafka's scalability is quite good.
How are customer service and support?
I have not received customer support for Kpow for Apache Kafka. However, I believe there is a very good UI available to ask for help with customer support.
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing for Kpow for Apache Kafka is that pricing is quite reasonable. However, it should be open source so that everybody can at least use a free trial. Running the enterprise edition requires managing license details, some ID code, and structure signature, which involve administrative setup compared to open source utilities. Because of this, I believe it is both good and challenging in different ways.
Which other solutions did I evaluate?
Before choosing Kpow for Apache Kafka, I did not evaluate other options.
What other advice do I have?
Regarding governance and security features, Kpow for Apache Kafka provides very good capabilities. I have not used all of them extensively, but the features I have used are very good. However, I am not completely sure about all the security features because we have not yet integrated them with our main systems.
Regarding Kpow for Apache Kafka's security capabilities, I would say the security features are quite good. They have included RBAC and multi-tenancy, data masking, audit logging, and SSO integration. These features make the security purpose very adequate for my needs.
The accuracy and reliability of Kpow for Apache Kafka's output is very good.
Kpow for Apache Kafka makes development faster because integration with Kafka can be quite complex and requires significant research and development effort. However, with Kpow for Apache Kafka, you can use a simple integration process to handle all of these aspects. It is very good for easy development.
My advice to others looking into using Kpow for Apache Kafka is that it is a paid tool, so you will need to purchase it. If your infrastructure is very good and there are multiple queues and multiple things to manage, Kpow for Apache Kafka is very effective for handling and maintaining the infrastructure. The UI is very good. These aspects make it a very good tool for this purpose. I would rate this product an eight out of ten.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Sidnei D.
The best choice for managing our Apache Kafka environments
Reviewed on Aug 21, 2023
Review provided by G2
What do you like best about the product?
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.
What do you dislike about the product?
The downside of Kpow for Apache Kafka is the topic data inspection of some topics where when we don't inform the key and/or value deserializer the response show those fields as null, making it hard to know why the values are not being show.
What problems is the product solving and how is that benefiting you?
The main problems that Kpow for Apache Kafka is solving for us is the support to query topic with different types of schemas (Avro, Protobuf, etc) and the ease to setup in multiple environments.
Another plus is the free community edition version to use on the local environments for testing/debugging.
Another plus is the free community edition version to use on the local environments for testing/debugging.
Antoine B.
Best choice for startup and middle size companies
Reviewed on Aug 31, 2022
Review provided by G2
What do you like best about the product?
What we appreciate with kPow is that it gives you all the good features available in the market in one tool :
- Beautiful UI/UX like Kowl
- Efficient topic message searching like Kafka UI
- Excellent to watch and edit topics configuration, even better than Kafka UI
- Able to browse and edit schema registry efficiently like Kafka UI
And in addition, you got multiple bonus features :
- Useful and beautiful monitoring of cluster, connectors, consumers, etc...
- Better consumer offset reset management
- Fully customizable auth mechanism from very simple to very complex
- Fully integrated Kafka Stream topology display and monitoring using kpow-streams-agent
- Human support with excellent technical understanding
- Open about feature requests that can bring value to the product, with a good following after suggestion is made
- Open-minded about license pricing for a small-sized company
- And so on...
- Beautiful UI/UX like Kowl
- Efficient topic message searching like Kafka UI
- Excellent to watch and edit topics configuration, even better than Kafka UI
- Able to browse and edit schema registry efficiently like Kafka UI
And in addition, you got multiple bonus features :
- Useful and beautiful monitoring of cluster, connectors, consumers, etc...
- Better consumer offset reset management
- Fully customizable auth mechanism from very simple to very complex
- Fully integrated Kafka Stream topology display and monitoring using kpow-streams-agent
- Human support with excellent technical understanding
- Open about feature requests that can bring value to the product, with a good following after suggestion is made
- Open-minded about license pricing for a small-sized company
- And so on...
What do you dislike about the product?
As for me, the only downside of this tool is that you have to launch it on your own, using docker container, AWS Marketplace, etc...
I would love to have managed cloud offer where you give a way to connect to your Kafka Cluster (through VPC Peering for example) and everything is handled on kPow side :
- Create a custom VPC for the customer
- Mount a kPow instance on the VPC
- Create the peering between this VPC managed by kPow and your VPC
- Manage authentication/authorization using kPow online dashboard
Such offer could open great opportunities with, for example, a free community version (run on your own) and a priced cloud managed version.
I would love to have managed cloud offer where you give a way to connect to your Kafka Cluster (through VPC Peering for example) and everything is handled on kPow side :
- Create a custom VPC for the customer
- Mount a kPow instance on the VPC
- Create the peering between this VPC managed by kPow and your VPC
- Manage authentication/authorization using kPow online dashboard
Such offer could open great opportunities with, for example, a free community version (run on your own) and a priced cloud managed version.
What problems is the product solving and how is that benefiting you?
Our objective was to :
- Monitor our Kafka brokers' state
- Browse our current topics and their contents
- Follow the state of our consumers and manage their offsets
All these in an easy-to-use HMI without learning how to do it through complex Kafka command lines.
- Monitor our Kafka brokers' state
- Browse our current topics and their contents
- Follow the state of our consumers and manage their offsets
All these in an easy-to-use HMI without learning how to do it through complex Kafka command lines.
Financial Services
Swiss army knife for Kafka Custodianship
Reviewed on Sep 07, 2021
Review provided by G2
What do you like best about the product?
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.
The development team really engage their customers and build new features in colloboration with them. Quick to respond to feedback.
The development team really engage their customers and build new features in colloboration with them. Quick to respond to feedback.
What do you dislike about the product?
Nothing. We even put a halt on purchasing more expensive enterprise kafka tooling because we found kPow met our needs.
What problems is the product solving and how is that benefiting you?
Developers: Can easily see kafka topics and perform administration whilst they are developing new features
Ops: Can securely access our production cluster, and can make maintenance of topics and the cluster in general far easier.
Wider business: Letting users conduct UAT by placing messages onto topics with a friendly UI
The upcoming visualisations around kafka streams are really awesome and we look forward to adopting those when time.
Ops: Can securely access our production cluster, and can make maintenance of topics and the cluster in general far easier.
Wider business: Letting users conduct UAT by placing messages onto topics with a friendly UI
The upcoming visualisations around kafka streams are really awesome and we look forward to adopting those when time.
Alex H.
kPow is the missing link in our operations toolkit for supporting a Kafka powered system.
Reviewed on May 26, 2021
Review provided by G2
What do you like best about the product?
Realtime data view & query language.
Topic & broker config inspect.
Consumer group monitoring including offset lag. (can also export their metrics via prometheus!)
The development team are active in the Kafka community and are extremely responsive to feedback on how kPow could be improved. We have benefited from several usbility enhancements & features that were initated on the back of our feedback.
Topic & broker config inspect.
Consumer group monitoring including offset lag. (can also export their metrics via prometheus!)
The development team are active in the Kafka community and are extremely responsive to feedback on how kPow could be improved. We have benefited from several usbility enhancements & features that were initated on the back of our feedback.
What do you dislike about the product?
A few minor stability issues (now resolved)
What problems is the product solving and how is that benefiting you?
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. Events are used as triggers between services and to drive state sharing. Being able to search across and inspect the contents of our event streams has proved invaluable from a production support, debugging & verification perspective. Without kPow our operational abilities would be significantly compromised.