Move your data with intelligence
Our AI-powered data pipeline management platform empowers global enterprises to easily gather, manage, and move their data reliably, at lightning speed.
















Your complete data fabric solution
Every source. Every destination. Every bit of data—collected, transformed, enriched, and routed—transforming your entire data lifecycle into a source of real-time insight, agility, and value.
Don't just take our word for it; our customers say it best

The ultimate data fabric built for security data
We've helped teams automate data integration, management, and optimization to save them millions in costs and countless hours of effort. Now it’s your turn. Effortlessly manage four data types with DataBahn to supercharge your data operations.
The allies your data has been waiting for

Smart Edge makes data collection simple and reliable. Using agentless technology and advanced edge analytics, it easily collects data from cloud, on-premise, or vendor sources. You can instantly onboard new sources, reduce costs, and ensure your data stays resilient–no matter the scale or complexity.


Highway simplifies how your data moves through your systems. It automatically cleans, transforms, and routes data to reduce volume and control costs. With Highway, your data stays clear, reliable, and easily accessible–without vendor lock-in or unnecessary complexity.


Cruz simplifies managing security data pipelines by automating collection, monitoring, and troubleshooting from start to finish. It proactively spots and resolves pipeline issues, meaning less manual work for you and more reliable, continuous data flow.


Reef turns raw data into clear, contextual insights using advanced graph-database technology. Quickly deploy custom AI-driven agents for security analysis, vulnerability management, and strategic insights –helping you make smarter decisions faster, all based on your data.



Plug, play, and accelerate with 400+ integrations
We've got your data ecosystem fully covered across on-premise, cloud, and agent-based security, application, and observability solutions–with integrations far exceeding other competing solutions.
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What sets DataBahn apart
Your starting point for all things DataBahn

Have Questions?
Here's what we hear often

A Data Fabric is an architecture that enables systems to connect with different sources and destinations for data, simplifying its movement and management using intelligent and automated systems, a unified view, and the potential for real-time access and analytics. Data Fabrics manage security, application, observability, and IoT/OT data to automate and optimize data operations and engineering work for security, IT, and data teams. Data Fabrics are also an umbrella term for Data Pipeline Management (DPM) platforms, which are tools and systems that enable easier collection and ingestion of data from various sources. DPM platforms are evaluated by how many sources and destinations they can manage and to what degree they can optimize the volume of data being orchestrated through them.

DataBahn goes beyond being a data pipeline by delivering a full-stack data management and AI transformation solution. We are the leading DPM solution (maximum number of integrations, most effective volume reductions, etc.) and also deliver AI-powered improvements that make us best-in-class. Our Agentic AI automates data engineering tasks by autonomously detecting log sources, creating pipelines, and parsing structured and unstructured data from standard and custom applications. It also tracks, monitors, and manages data flow, using backups and flagging any errors to ensure the data flows through. Our system collates, correlates, and tags the data to enable simplified access, and creates a database that enables custom AI agent or AI application development.

Our volume reduction functionality is completely under the control of our users. There are two modules - a library of volume reduction rules that will reduce SIEM and observability data. Some of these rules are absolutely guaranteed not to impact their functioning (data deduplication, for example) while others are based on our collective experience of being less relevant or useful. Users can absolutely control which data goes where, and opt to keep sending those volumes to their SIEM or Observability solution. The AI-powered insights layer will review and make suggestions based on

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