DataBahn offers an AI-powered platform that automates telemetry data pipeline management, unifying ingestion, transformation, and routing for security and IT teams. It streamlines data workflows, enabling real-time insights and reducing operational costs by up to 50% through intelligent data filtering and normalization.
Funding
$17M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle with the complexity and cost of managing diverse telemetry data streams, leading to inefficient security operations and missed insights. Traditional data pipeline management often involves manual processes, vendor lock-in, and high operational overhead, hindering the ability to derive timely and actionable intelligence.
Solution
DataBahn provides an AI-powered data pipeline management platform designed to automate and streamline the collection, transformation, and routing of telemetry data. The platform unifies data ingestion, enrichment, and AI readiness into a single, scalable solution, enabling enterprises to gain real-time insights and optimize their data workflows. By decoupling data ingestion from downstream systems, DataBahn offers flexibility and cost efficiency, allowing security and IT teams to focus on strategic initiatives rather than data plumbing.
Target Audience
The primary target audience includes enterprise security operations centers (SOCs), data engineering teams, and IT departments responsible for managing and optimizing telemetry data pipelines for security, observability, and operational intelligence.
Features
- AI-driven data pipeline orchestration for automated collection, transformation, and routing of telemetry data.
- Support for a wide range of data types including security, application, observability, and IoT/OT data.
- Modular and elastic architecture capable of handling high-volume data streams, processing up to 5 million messages per second per data plane.
- Intelligent data filtering and volume reduction capabilities to optimize SIEM and data storage costs, with reported savings of up to 50% in SIEM licensing and storage.
- Automated data parsing, normalization, and transformation into various formats (JSON, KVP, CEF, LEEF) and alignment with industry standards (OCSF, CIM, ECS, ASSIM, UDM).
- Real-time pipeline health monitoring with automated anomaly detection, alerts, and failover mechanisms for resilient data collection.
- Data lineage tracking with AI-powered tagging for end-to-end visibility from source to destination.
- Integrations with over 400 plug-and-play connectors for seamless onboarding of diverse data sources.
- Features like Smart Edge for edge data collection and optimization, Highway for data orchestration, Cruz for automated security data engineering, and Reef for AI-ready intelligence.
- Capabilities for sensitive data detection, PII masking, and automated data quarantine to ensure compliance and governance.