Observability Optimization

AI-native data pipeline management for cost-efficient, high-clarity observability

Modern observability doesn’t suffer from a lack of data – it suffers from fragmentation. Databahn unifies and enriches telemetry in motion across any format or platform, creating a coherent data pipeline with AI-powered filtering that cuts noise, cost, and operational overhead.

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Challenges

The observability gap keeps getting wider

Enterprises now operate distributed apps, hybrid clouds, and constantly shifting architectures – each producing its own firehose of telemetry. Without a unified pipeline to harmonize it, observability becomes costly, noisy, and unreliable.

Fragmented Telemetry (Logs, Metrics, Traces)

Telemetry now comes from hundreds of tools and environments, making correlation and root cause analysis slow and brittle, and the ability to manage pipelines and transform data across multiple formats and sources ineffective.

Expanding Growth and Cost

Every service, workload, and deployment adds more logs, metrics, and traces – but does not deliver clarity. The shift to microservices and containerized environments causes telemetry volume to skyrocket and data overwhelms downstream systems and budgets.

Rigid and Inflexible Systems

Observability stacks are bound to specific agents, schemas, or APIs. Every new tool or migration means rewriting exporters, tweaking agents, rebuilding ingestion paths, and re-instrumenting code – slowing teams down and deepening vendor lock-in.

Solutions

AI-powered visibility and control for modern observability

Databahn unifies fragmented observability data into an intelligent pipeline that enriches, optimizes, and delivers clarity and control to your organization.

Unified Telemetry Control

Databahn collects and normalizes telemetry from cloud, apps, and devices into a single, coherent stream. A single pipeline that feeds all observability tools, reduces duplicative ingestion, and ensures consistent data across the ecosystem.

Intelligent Volume Optimization

AI-powered filtering ensure that your detection and analytics tools focus on what matters most, with a pipeline that enriches and structures data in motion – ensuring the data is usable, actionable, and ready for root cause analysis.

Open, Flexible Integration

Databahn is a neutral routing layer that enables collect once, deliver anywhere with no code changes or re-instrumentation, enabling structured telemetry flow to any observability, analytics, or data lake platforms.

AI-Driven Data Control

AI enriches data data with context, links related events, and reduces false alerts – improving data accuracy, triage speed, and mean time to resolution across observability tools.

Resilient, Lossless Collection

Self-healing data mesh architecture with built-in buffering and failover handling ensures zero data loss, keeping observability reliable, scalable, and auditable despite spikes and breaks.

Smarter & More Efficient Operations

Policy-based routing and tiering automatically reduce redundant data. Teams gain predictable budgets, faster queries, and observability that scales without runaway spend.

Trusted by leaders and partners driving data excellence

"DataBahn amplifies the value of Sentinel. It changes how we look at data."

Travis Farral

Vice President and CISO

Archaea Energy

"We have recently started a journey with DataBahn and I can’t speak highly enough about the product or the amazing team at DataBahn.

Greg Stewart

Senior Director, Cybersecurity

Threat Intelligence & Incident Response

“It's amazing that a data pipeline tool can do this level of pre-processing to filter out irrelevant data and produce insights."

Ricky Allen

Chief Technology Officer

CyberOne Security

We have recently started a journey with DataBahn and I can’t speak highly enough about the product or the amazing team at Databahn.

Greg Stewart

Senior Director, Cybersecurity

CSL Behring

I was lucky enough to get a demo of DataBahn and was blown away at the capabilities and the impact the platform will deliver.

Keith Schlosser

Group CIO

AXIS Capital

"We reduced 70% of our data going to our SIEM. And here’s the game-changer: no ingress, egress, or API fees."

Abraham Selvaraj

Director, Information Security

ThinkOn

While DataBahn.ai is a perfect use case for SIEM solutions like Sentinel, I believe its use case is even broader as the "Data Pump" for all enterprise data.