Connecting Splunk to value (and data)
Future-proof the world's most beloved SIEM solution with DataBahn's Security Data Fabric. Optimize ingestion and compute, control workload costs, and save on data engineering effort.
Achieve awesomeness with Splunk and DataBahn
Enterprise SOCs love their Splunk with its learned context, powerful analytics, and fast search with end-to-end visibility across large data volumes.
With DataBahn, SOCs can seamlessly collect and optimize data ingestion at velocity, ease strain on your budget and infrastructure, and reducing your Splunk workload costs by ~50% while enhancing data operations
400+
Plug-and-Play connectors and AI-powered auto-parsing of custom apps and microservices
50%
Optimize data ingestion and routing while controlling costs and optimize workloads
80%
Reduction in manual effort in data parsing & transformation
Supercharge your Splunk SIEM
Integrate with and parse data from multiple sources and formats with ease
Achieve a modular and efficient SIEM architecture decoupled from ingestion with DataBahn
Ensure seamless, scalable, and reliable data collection that doesn't drop logs due to spikes or network issues
Ensure SVC and Storable Block use optimization with workload optimization to reduce costs by at least 50%!
Parse, Normalize, and Transform data from popular and custom applications with ease for seamless data flow
Track, manage, and have visibility of data across sources for enhanced enrichment and correlation
Splunk + DataBahn for data that flows
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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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