Built for technical teams
Powerful engineer-focused tooling for Kafka and Flink, enabling full observability and management of your streaming ecosystem.
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
Factor Platform unifies Kafka, Flink, and Iceberg, giving every team a governed, consistent view of your streaming infrastructure.
Engineers
Integrations
Automation
Agents
Factor Platform
Unified control plane
Govern
Inspect
Manage
Observe
Factor Platform brings Kafka, Flink, and Iceberg together under one control plane. Kpow, Flex, and Iglu are the purpose-built tools for each technology.
Full visibility and operational control over your Kafka clusters, topics, partitions, consumer groups, schemas, connectors, ACLs, and broker configs. One UI and API.
Learn morekJQ 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.
Simplify job management, scaling, and monitoring for Apache Flink. Deploy, track, and troubleshoot streaming jobs across every cluster from a single UI and API.
Learn moreTrack every job's health at a glance. See running, failed, and restarting jobs across clusters, with checkpoint duration and backpressure surfaced immediately.
Deploy and manage jobs without the CLI. Submit, savepoint, scale, and cancel jobs from the UI. Full parameter and configuration history for every deployment.
Diagnose bottlenecks by operator. Drill into task-level metrics, watermark skew, and state size to find the operator that's actually slowing the pipeline.
A single interface to inspect tables, track snapshots, and manage maintenance across every Iceberg catalog, without stitching together query engines and CLI tools.
Learn moreSee snapshot history and schema evolution at a glance. Real-time visibility into snapshots, partition specs, and schema history across every catalog and query engine writing to your tables.
Trigger table maintenance on demand. Run compaction, snapshot expiry, and orphan file cleanup from a clean UI instead of ad-hoc scripts and cron jobs.
One view across every catalog. Manage tables across every catalog and query engine writing to your Iceberg lake, instead of piecing it together by hand.
Engineer first. Enterprise always.
Powerful engineer-focused tooling for Kafka and Flink, enabling full observability and management of your streaming ecosystem.
Embedded enterprise features to scale with confidence. Retain control of security, governance, auditing, and access control.
Our self-managed, flexible deployment model adapts to your streaming strategy and supports Kafka and Flink vendors like MSK, Confluent, Aiven, Ververica, and more.
Trusted by Fortune 500 companies with thousands of engineers and millions of messages per second across their Kafka environments.
News, guides, and engineering deep dives on Kafka, Flink, Iceberg, and real-time data.
Industry Kafka 4.3.0 covers broker cordoning, partition size metrics, share group tuning, and tiered storage fixes. Here's what platform engineers need to act on.
Product Learn how Factor Platform brings OpenLineage metadata into your Kafka environment, making data ownership, PII classification, and lineage visible by default.
Industry IBM's $11B Confluent acquisition raises questions for Kafka users. Assess your lock-in risk across Schema Registry, managed connectors, and operational tooling.
Manage Apache Kafka® and Apache Flink® with a single UI and API. Deploy in minutes via Docker, Kubernetes, or JAR.