Factor Platform

for Data Engineering

A unified control plane for real-time data streaming that brings together Apache Kafka®, Apache Flink®, and beyond. Built for scale, engineered for speed. Factor Platform delivers full visibility and control across technologies, regions, and teams.

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Your Streaming Control Plane Has Arrived

Factor Platform provides the definitive control plane for your data ecosystem. Unifying Kafka and Flink today, it is architected to be the single source of truth for all of your data workloads, from streaming to batch and analytics. It delivers secure operational control and standardized governance, empowering engineers with deep technical insight. For the business, it provides critical intelligence through native lineage, data catalogs, and FinOps intelligence, creating a unified understanding of your entire data infrastructure.

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Unified visibility for your data, from real-time streaming with Kafka and Flink to future support for batch and analytics.

Federated control across 100+ clusters, regions, and multi-cloud deployments

Governance built-in: RBAC, SAML, audit logs, catalogs, and data masking

End-to-end lineage for audit, compliance, and faster troubleshooting

FinOps-ready insights for cost, usage, and efficiency across teams

Centralized configuration, with persistent settings and live updates

Why Factor Platform Is a Game Changer

One interface to rule them all

Unify your data ecosystem with a single control plane built for Kafka, Flink, and the future of your data stack.

Turnkey Enterprise Functionality

Secure your data with a native framework that includes multi-tenancy, SSO/SAML, RBAC, and audit logs, ready for SOC2 compliance and air-gapped deployments.

Composable and extensible, deploy-anywhere

Run a consistent platform on any infrastructure, from cloud to on-premise. Core intelligence like data lineage, catalogs, and FinOps is natively integrated, not an afterthought.

Federated control & configuration

Define security and governance policies once and enforce them everywhere. Manage users, jobs, and configurations consistently across all your clusters and teams.

Data lineage you can trust

Get a complete, automated map of your data's journey. Accelerate root-cause analysis, perform impact assessments with confidence, and satisfy audit requirements.

FinOps-ready visibility

Attribute infrastructure costs directly to teams and projects to optimize spend, drive accountability, and make data-driven architectural decisions.

Catalog-driven intelligence

Bridge the gap between business and technology. Our native catalog enriches technical assets with business context, creating a shared vocabulary for your data.

Global observability

Break down monitoring silos by correlating health and performance metrics across your entire stack. Get a complete, real-time picture of your infrastructure from Kafka to Flink and beyond.

How Teams Use Factor Platform

From incident response to data validation, Factor Platform accelerates workflows:

Streaming Infrastructure Management

Operate Flink and Kafka side-by-side, from one interface.

Platform-Wide Observability

Surface metrics, jobs, lineage, and data flows across technologies and clouds.

Governance at Scale

Standardize policies, enforce access, and manage catalogs across distributed teams.

FinOps Optimization

Gain live cost visibility across workloads to manage efficiency and accountability.

Future-Ready Architecture

Support for new tools and integrations without rework or migration risk.

What Customers Say

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.”

Alex Hilton, Chief of Staff-Technology

Article

Accelerating Incident Response: Advanced Filters, Streaming Search, and AI-Powered Queries

When a critical incident occurs in a streaming architecture, finding the exact point of failure across millions of messages is a race against the clock. Application teams relying on standard manual polling and basic parsers face a steep syntax learning curve that severely delays incident response. This article demonstrates how Kpow accelerates investigations by combining advanced kJQ filtering for server-side data slicing, Bring Your Own AI (BYO AI) to translate natural language into query syntax instantly, and Streaming Search to automate continuous data discovery.

Case Study

How To

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Factor Platform is launching soon. Join our early access program and shape what’s next.

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