Databahn pricing in 2026: the AI security data pipeline
The independent Databahn pricing reference. What the AI security data pipeline platform is, how the Cruz agent and Reef query layer work, where it sits relative to Cribl, Tenzir and Edge Delta, and an honest account of the pricing model: a subscription tiered by data volume, features and seats, quoted by sales and not publicly listed. Built from Databahn's own platform and product material and its Series A announcement. Updated July 2026.
What Databahn is, and where it sits
Databahn is a security data pipeline platform, or SDPP. It collects, enriches, orchestrates and optimises telemetry across security, observability and IoT or OT sources, then routes that data onward to its destinations. It sits upstream of the SIEM, between your log sources and destinations like Splunk, Sentinel, a data lake or object storage. It is destination-agnostic and it is not a SIEM.
Structurally, that is the same position occupied by Cribl, Tenzir and Edge Delta. Telemetry flows into the pipeline, gets shaped and reduced, and only the data worth keeping reaches the expensive, ingest-metered SIEM. The rest can be dropped or diverted to cheap storage before it is ever metered at SIEM rates. That is the standard reason a pipeline exists in this category.
What Databahn foregrounds on top of that pipeline is AI. Two products, Cruz and Reef, are the pitch: Cruz automates the data-engineering work a pipeline usually needs a human to do, and Reef makes the resulting telemetry queryable in plain language. Databahn raised a $17M Series A led by Forgepoint Capital, with S3 Ventures and GTM Capital participating, taking total funding to $19M, which the company frames as fuel for building out that AI layer.
The two AI products: Cruz and Reef
Cruz is Databahn's AI agent for data engineering. Databahn positions it to automate the manual pipeline work: discovering log sources, building and maintaining pipelines, tracking telemetry health, and adapting to schema drift when a source changes its format without warning.
Reef turns streaming telemetry into insights you can query in natural language. Rather than writing pipeline or search syntax, an analyst asks a question and Reef resolves it against the live data flowing through the platform.
Both products run on Databahn's security data pipeline platform, an SDPP that collects, enriches, orchestrates and optimises telemetry across security, observability and IoT or OT sources before routing it to its destinations.
Capability claims in this section, including the up to 50 percent noise reduction attributed to Cruz, are Databahn's own statements from its platform and product material, cited as vendor claims rather than as figures we have independently verified.
How Databahn fits, in three parts
Databahn is a security data pipeline platform (SDPP). It sits upstream of the SIEM, between your telemetry sources and destinations like Splunk, Sentinel, a data lake or object storage. Data flows into Databahn, gets collected, enriched and optimised, then routes onward.
What Databahn foregrounds over a plain pipeline is AI. Cruz automates the data-engineering tasks a pipeline normally needs a human for, and handles schema drift. Reef makes the resulting telemetry queryable in natural language.
Pipelines earn their place by reducing what reaches the ingest-metered SIEM. Databahn claims Cruz can cut telemetry noise by up to 50 percent. Any noise dropped or diverted upstream is telemetry you no longer pay SIEM ingest rates to store.
The pricing model, and what is not public
Databahn is sold on a subscription. The price is tiered on three axes: the volume of telemetry the platform processes, the feature set and product access you need (including Cruz and Reef), and the number of user seats. Data volume is the primary lever, as it is across this whole category, with seats and features layered on top.
What Databahn does not do is publish those numbers. There is no public price list, no tier table with dollar figures, and no per-GB rate on the site. Pricing is quoted through sales against your specific environment. That is a common posture for pipeline platforms at this stage, and it is the reason this page describes the shape of the model without attaching any figures to it.
This page is built from Databahn's own material: the platform and Cruz product pages on databahn.ai, and the Series A funding announcement (carried by PR Newswire and on the databahn.ai press releases). Those sources describe the platform, the two AI products and the funding, and they are where the subscription, volume, feature and seat model comes from.
What is not public is any actual price. Databahn does not list a figure for the platform, for Cruz or for Reef anywhere we could find, so we do not print one. The up to 50 percent noise-reduction figure is Databahn's own claim about Cruz, cited here as a vendor claim rather than a number we measured. Where a real quote is needed, the only route is to contact Databahn with your volume and seat count.