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The engineering toolkit
for real-time data
Manage Apache Kafka® and Apache Flink® with a single UI and API. Search tens of thousands of messages per second and enforce governance across every cluster.
Trusted by leaders in software engineering
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Discover our products
Equip your engineers with the tools they need to build real-time systems with confidence.
kJQ search across hundreds of topics in seconds. Filter by key, header, or message content with JQ-like syntax. Regex topic matching, multi-topic search, streaming search for live debugging. No throwaway consumers.
Manage topics, ACLs, consumer groups, schemas, and connectors in one place. Create, inspect, edit, delete. Reset offsets, skip poison pills, reassign partitions, diff schema versions. Full lifecycle, full audit trail.
Monitor consumer lag by partition, host, and broker. Real-time dashboards surface under-replicated partitions, stalled consumers, and throughput bottlenecks. Prometheus endpoints feed your existing observability stack.
kJQ search across hundreds of topics in seconds
Manage topics, ACLs, consumer groups, schemas, and connectors in one place
Monitor consumer lag by partition, host, and broker
Navigate execution graphs, inspect vertices, and trace data flow. See exactly how your jobs are structured and where processing time is spent.
Deploy, checkpoint, savepoint, and cancel through a clean UI and API. Custom configurations per job. Graceful shutdown. No terminal required.
Analyse backpressure and detect anomalies at the vertex level. Identify pipeline bottlenecks with enough detail to act on them.
Navigate execution graphs, inspect vertices, and trace data flow
Deploy, checkpoint, savepoint, and cancel through a clean UI and API
Analyse backpressure and detect anomalies at the vertex level
Centralised management across Kafka and Flink clusters. Fewer dashboards, fewer CLIs, fewer Grafana tabs. One interface for your streaming stack.
Fine-grained RBAC, audit logging, and governance controls built in. Multi-tenancy, data masking, staged mutation workflows, SSO. Production-ready from day one.
End-to-end data lineage from source to sink. Trace data across your real-time ecosystem. Know where every message has been.
Centralised management across Kafka and Flink clusters
Fine-grained RBAC, audit logging, and governance controls built in
End-to-end data lineage from source to sink
Why Factor House
Engineer first; Enterprise always.
Built for Technical Teams
Powerful engineer-focused tooling for Kafka and Flink, enabling full observability and management of your streaming ecosystem.
Enterprise‑Ready by Design
Embedded enterprise features to scale with confidence. Retain control of security, governance, auditing, and access control.
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Truly Flexible, Vendor-Agnostic
Our self-managed, flexible deployment model adapts to your streaming strategy and supports Kafka and Flink vendors like MSK, Confluent, Aiven, Ververica, and more.
Proven in Production
Trusted by Fortune 500 companies with thousands of engineers and millions of messages per second across their Kafka environments.
Designed to accelerate your team
Powering engineers, DevOps and data teams with unmatched performance.
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Governance and compliance
Designed for environments where governance, security, and auditable action are non-negotiable.
Factor House integrates with Okta, OpenID, LDAP, SAML, and Keycloak out of the box. HTTPS, data masking, user action audit logging, and Prometheus endpoints are standard. Role-based access controls support temporary elevated permissions and staged mutation workflows requiring approval for destructive operations. Accessibility is fully compliant with WCAG 2.1 AA standards.
Loved by engineers.
Trusted by enterprises.
Engineering leaders trust Factor House to deliver reliable, scalable, and developer‑friendly solutions.
“I am grateful for the empathy and passion the Factor House team has shown in partnering with Airwallex to better understand our pain points to help drive the evolution of this brilliant product.”
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“Kpow is not only intuitive and user-friendly, but it also saves us time, and our developers like using it. If there's a problem with our Kafka system, there's no better way to track than with Kpow. If you know Kafka, you should know Kpow.”
"Kpow has improved how we communicate Kafka to the rest of the IT team and the business. It has helped us assess what we may need to do in the future and identify issues related to development and infrastructure standards. Deploying it in our ecosystem has given us much greater perspective about Kafka and how our whole system is operating at any given time. If I want to see anything in our cluster, I can now go to Kpow first."
“Kpow is built by a team with a passion for Kafka, but who also carry the scars of some tough implementations. It's a tool by and for engineers, and offers our team the simplest, quickest, most cost‑effective way to access their data and works seamlessly with Amazon MSK. It will be a key part of our infrastructure as long as we're using Kafka.”
Blog
Explore hands-on guides, product updates, and technical insights to get the most out of Kafka, Flink, and Factor House solutions.
Self-Service Kafka Governance: Streamlining Workflows with Kpow and ServiceNow
Implement Just-in-Time Kafka access by integrating Kpow with ServiceNow. Automate approvals and temporary policy management to enhance security and developer self-service.
Rapid Kafka Diagnostics: A Unified Workflow for Root Cause Analysis
The Context Gap caused by fragmented tools hinders effective Kafka monitoring and troubleshooting, as it forces engineers to manually piece together logs and metrics. This guide demonstrates how to close that gap using Kpow's unified workflow to identify the stall, inspect the data, and resolve the incident in a single interface.
How NORD/LB transformed Kafka operations and cut debugging time in half
A German financial institution overcomes critical compliance gaps and operational inefficiencies to build a scalable, enterprise-grade streaming data platform.
Try it for yourself
Connect to any Kafka cluster in minutes. Deploy via Docker, Helm, or JAR. Full access for 30 days.