Sold by: Databahn
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.<br><br>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.
4.8
Overview
Key Capabilities
Pluggable & Modular Architecture
Integrates seamlessly with diverse data sources - servers, endpoints, cloud services, COTS, and custom apps.
Supports HTTP, Syslog, Kafka, filebeat, custom connectors etc out of the box.
Edge-side Filtering & Transformation
Apply policy-based filtering rules to reduce data volume and noise.
Enrich logs with contextual metadata (e.g., geo, asset tag, app type) before routing to downstream systems.
Autonomous Operation & Self-Healing
Engineered for resilience with built-in health checks, auto-reconnect, and queue buffering.
Operates independently during outages or latency events, ensuring no data is lost.
Secure & Compliant
Supports TLS encryption, token-based auth, and native integration with enterprise IAM systems.
BYOK-enabled for environments requiring data ownership and encryption at the edge.
Bi-directional Routing
Smart Edge not only forwards data upstream but also supports inter-node data exchange (e.g., from DC to DR and vice versa).
Ideal for BCP/DR scenarios, remote site aggregation, or regional regulatory requirements.
Zero-Touch Deployment
Automate deployments via CI/CD pipelines or configuration management tools (e.g., Ansible, Terraform).
Supports single-step install and remote updates, reducing time to production.
For custom pricing reach out to saas_pricing@databahn.ai
Highlights
- Data Ingestion, Filtering & Routing
- Cost Reduction
- Data Pipeline for SecOps, DevOps and SRE
Details
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Delivery method
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 charged based on the volume of data ingested and committed for | $0.01 |
Dimensions summary
This listing uses a single pricing dimension: the volume of data ingested, measured in gigabytes (GB). You commit to an ingestion volume under a contract term, and your cost scales with that committed amount. There are no separate tiers, instance sizes, or add-on charges. Pricing is tied directly to how much telemetry data the platform collects and processes at the edge. As your committed ingestion volume grows, your total commitment grows in proportion. This structure keeps billing centered on one measurable unit rather than multiple independent options.
Top-of-mind questions for buyers
Billing measures the telemetry the platform collects and processes at the edge. This includes logs and data pulled from cloud, on-premises, hybrid, and vendor sources through both agent and agentless collection. Edge filtering can suppress irrelevant logs before they move downstream, which affects how much data flows onward.
You commit to an ingestion volume in gigabytes for your contract term. Cost scales with that committed amount. As your telemetry needs grow, your commitment grows in proportion. The platform is built to handle enterprise scale, so increasing volume is supported without changing the pricing unit itself.
Smart Edge can suppress irrelevant logs and apply edge analytics before data moves to downstream systems. This reduces the volume sent onward to storage or analytics tools. Your billed amount reflects the ingestion volume you commit to under contract, measured in gigabytes.
databahn.ai
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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.
Resources
Vendor resources
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.
https://databahn.atlassian.net/servicedesk/customer/portal/3
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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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.