Overview
Databahn Highway is a scalable, enterprise-grade data movement and observability layer purpose-built to streamline, secure, and optimize the ingestion of telemetry, log, and event data from edge environments to centralized analytics and security platforms in the cloud or onprem. Designed for high-throughput environments, Highway acts as a reliable data conduit across diverse infrastructures - from on-prem systems and IOT ecosystems to cloud-native workloads - ensuring consistent, low-latency data delivery, compliance enforcement, and operational resilience.
Key Capabilities
Edge-to-Cloud Data Streaming
Databahn Highway supports high-speed ingestion from a variety of distributed systems and edge devices. It enables secure transport of telemetry data (e.g., logs, metrics, traces) to cloud-native SIEMs, data lakes, and observability platforms including Amazon S3, OpenSearch, Chronicle, Sentinel, and more.
Flexible Ingestion Framework
Using a modular plug-in architecture and native integration with FluentBit, Databahn Highway supports custom connectors, file tailing, syslog, Windows event forwarding, SNMP, and IOT data sources - all configurable via declarative YAML-based profiles.
Data Filtering, Enrichment, and Redaction
Highway supports in-stream filtering, tagging, protocol-specific parsing, and redaction of sensitive information prior to forwarding. Sensitive data tracking ensures compliance with data governance and privacy standards, especially in regulated industries like finance, healthcare, and critical infrastructure.
Policy-Driven Routing and Multi-Destination Forwarding
Data can be routed to multiple destinations simultaneously based on flexible policy definitions - by region, customer, or compliance requirement. This ensures redundancy, separation of duties, and secure data delivery aligned with your data sovereignty mandates.
Observability and Auditing
Databahn Highway provides full observability into data flows via an integrated control plane with dashboards, metrics, and logs. Each event is auditable, and AI-assisted enrichment is traceable, providing end-to-end transparency for data movement and transformation.
AI Integration with Guardrails
Highway integrates with Azure OpenAI and Anthropic's Claude for assistive use cases such as log parsing and field normalization - with no customer data used to train models. All AI interactions are auditable, isolated per customer, and can be executed within your own trusted cloud subscriptions.
Fault Tolerance and Upgrade Safety
Upgrades to Highway components are designed to be non-disruptive, with rollback safety mechanisms and clear separation between edge and cloud planes. This ensures uninterrupted data flow even during system changes or maintenance.
Deployment Agility
Databahn Highway can be deployed as an agent, sidecar, container, or appliance across cloud regions, customer data centers, or secure environments. It supports air-gapped installations and is optimized for low-resource devices as well.
Whether you're a security team looking to optimize SIEM costs or a data platform team focused on real-time analytics, Databahn Highway delivers the reliability, security, and control needed to build trustable, compliant, and efficient data pipelines.
Highlights
- Secure, High-Performance Telemetry Ingestion from Edge to Cloud<br>Seamlessly move logs, metrics, traces, and IOT telemetry from edge devices and distributed environments into cloud-native analytics and SIEM platforms with built-in security, data redaction, and policy-based routing.
- Cost Optimization for Security and Observability Pipelines<br>Filter and enrich data at the edge to reduce ingestion volumes and costs in downstream systems like Splunk, Sentinel, and Amazon OpenSearch without losing analytical fidelity or compliance readiness
- AI-Assisted Data Transformation with Full Auditability<br>Leverage integrated AI models (Azure OpenAI, Claude Haiku) to normalize and parse data streams while maintaining strict guardrails - ensuring no customer data is exposed or used for training, with full traceability of AI interaction steps
Details
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Features and programs
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Pricing
Dimension | Description | Cost/12 months | Overage cost |
---|---|---|---|
Volume of Data Ingested | The platform is available based on the committed volume of data ingested per day | $0.01 |
Vendor refund policy
Customer must notify DataBahn customer service via support ticket within five (5) business days from the occurrence of the SLA incident & provide the details of the incident. DataBahn will use log files, database records, audit logs & any other information available to validate an SLA Claim & make a good faith judgment on the applicability of this SLA to such SLA Claim. DataBahn reserves the right to deny the service credit if the Customer does not qualify.