Sold by: Databahn
Deployed on AWS
Databahn Highway is a high-performance data streaming and observability platform designed to simplify secure, real-time data ingestion from distributed sources into your cloud analytics and SIEM environments. Built for scale and compliance, Highway ensures seamless integration with AWS services and third-party tools, offering low-latency pipelines, protocol-aware enrichment, and advanced filtering. Whether you're aggregating telemetry, logs, or security data, Databahn Highway enables efficient, policy-driven data movement with full auditability and enterprise-grade controls.
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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
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
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 |
Dimensions summary
This listing uses a single pricing dimension based on the volume of data you ingest per day, measured in gigabytes (GB). You commit to a daily ingestion volume under a contract, and your price scales with that committed amount. The more data you plan to route through the platform each day, the higher your committed volume. There are no separate tiers or add-on options to choose between. Pricing is tied to one usage measure, so you size your commitment to match your expected daily data flow.
Top-of-mind questions for buyers
Your committed volume measures the data the platform collects and routes each day, before filtering. The platform ingests telemetry from cloud, on-premise, and vendor sources, then cleans, transforms, and routes it. You size your commitment to match the total daily data flowing into the platform across all your connected sources.
Your price is tied to the committed daily ingestion volume you select. If your actual daily data flow grows beyond that commitment, you would need to adjust your committed volume. The platform's filtering rules can reduce the volume routed downstream, but your commitment reflects the data ingested, not the reduced output.
Pricing is based on one measure: the daily volume of data ingested. The platform can fork data to multiple destinations without duplicate ingestion overhead. Your commitment covers ingestion volume, so routing the same data to several tools does not multiply the metered amount you commit to.
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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.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
SaaS Support: Software-as-a-Service Standard Support and Maintenance Services. At a minimum, customers who purchase DataBahn's Services will receive Standard Support and Maintenance Services in accordance with this Support Policy during the SaaS Term stated in the applicable Order. Software Support: Software Premium Support and Maintenance Services. At a minimum, customers who purchase a Term Software License will receive Premium Support and Maintenance Services in accordance with this Support Policy during the License Term stated in the Order. Other Support. Platinum Support may be available for an additional fee as an upgrade from the Premium Support otherwise included for Term License Software or Services. DataBahn provides Platinum Support and Maintenance Services (and any other available enhanced supplemental Support and Maintenance Services) in accordance with the applicable Support Supplement for Platinum Support.
DataBahn offers support to its customers only via its support portal / DataBahn UI.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Databahn Smart Edge is a high-performance, fault-tolerant data collection and orchestration engine purpose-built to handle the scale, complexity, and reliability demands of modern enterprise environments. Designed to run at the edge - whether in cloud, on-premise, or hybrid environments - Smart Edge serves as the first line of intelligence, enabling secure, policy-driven data capture, transformation, and routing before it ever reaches a central platform.Smart Edge is the foundation of a federated data architecture, empowering organizations to filter, normalize, enrich, and route data at the source, while drastically reducing ingestion costs and eliminating dependency on fragile, legacy log forwarders.
Customer reviews
Srirag G.
Databahn Streamlines Data Integration and Cuts SIEM Costs with AI Optimization
Reviewed on May 25, 2026
Review provided by G2
What do you like best about the product?
I greatly value the tool’s ability to seamlessly integrate data from multiple sources into a unified, governed layer with an intuitive UI. Its AI-driven optimization reduces data volume, which in turn lowers SIEM costs. The tool’s strong performance is impressive, and the responsive support team enhances its reliability. When comparing SIEM storage costs without Databahn, the expenses are significantly higher, making Databahn a highly worthwhile solution.
What do you dislike about the product?
The initial setup would be a bit complex if we are not using the SaaS solution.
What problems is the product solving and how is that benefiting you?
The ability to seamlessly integrate data from various sources into a unified governed layer. This will reduce the overall cost of the SIEM by reducing the cost and storage in SIEM by routing the data into multiple destinations
Parrish G.
Experienced, Professional Data & AI Team Delivering Solutions That Work
Reviewed on May 20, 2026
Review provided by G2
What do you like best about the product?
An experienced and professional team that can understand various data types. They are responsible and develop solutions that actually work.
What do you dislike about the product?
Nothing. Very responsible and capable team.
What problems is the product solving and how is that benefiting you?
The team developed and built an automated review and analysis system that works with different data types and layouts from multiple sources. Previously, this work was handled manually, which took up valuable time for our internal team.
Anonymous
Streamlines Data for Consistent Analysis
Reviewed on May 20, 2026
Review provided by G2
What do you like best about the product?
I use DataBahn primarily as a data processing and enrichment pipeline that sits between raw log ingestion and downstream platforms like Microsoft Sentinel. It normalizes and standardizes data before it reaches the SIEM, ensuring fields are consistent across sources. This means that instead of dealing with messy, inconsistent logs inside Microsoft Sentinel, I get clean, structured, and standardized data from the start. This process of data handling makes my job much easier and more efficient.
What do you dislike about the product?
Troubleshooting issues like dropped logs and parsing failures can sometimes lack clear visibility or detailed error feedback.
What problems is the product solving and how is that benefiting you?
I use DataBahn to process and enrich data, ensuring it's clean, structured, and standardized. It normalizes logs from different tools, making analysis consistent and eliminating messy, inconsistent data in Microsoft Sentinel.
Srirag G.
Transforming Data Integration with Intelligence and Speed
Reviewed on Nov 05, 2025
Review provided by G2
What do you like best about the product?
its AI-driven automation and ability to streamline complex data pipelines. The platform’s scalability and real-time data integration greatly improve data accessibility and decision-making.
What do you dislike about the product?
There’s a bit of a learning curve at first, especially when setting up complex data pipelines, but once you get familiar with the platform, it becomes much easier to use.
What problems is the product solving and how is that benefiting you?
DataBahn eliminates data fragmentation by connecting different systems and automating data flows. This has saved us significant time, reduced manual errors, and given us real-time visibility into our operations.