Pricing Overview
DataHub operates on a freemium model anchored by one of the strongest open-source foundations in the data catalog space. The core platform is fully open-source under the Apache 2.0 license, meaning any team can self-host DataHub at zero licensing cost. For organizations that prefer a managed experience, DataHub Cloud offers a free Professional tier with up to 20 saved searches and daily email alerts, along with an Enterprise tier that requires a custom quote. This dual-track approach -- open-source self-hosted versus fully managed cloud -- is DataHub's defining pricing advantage. With over 11,800 GitHub stars and adoption by organizations like Netflix, Visa, Slack, and Pinterest, the open-source version is production-proven at massive scale. The trade-off is straightforward: you pay nothing for the software license but invest in infrastructure, maintenance, and engineering time to run it yourself. For teams that want the platform without the operational burden, DataHub Cloud removes that overhead entirely.
Plan Comparison
DataHub's pricing splits into two distinct deployment paths, each targeting a different buyer profile. Understanding which path fits your organization is the most important pricing decision you will make with this tool.
| Deployment | License Cost | Managed Infrastructure | AI Features | Support | Best For |
|---|---|---|---|---|---|
| Open Source (Self-Hosted) | Free (Apache 2.0) | You manage | Community-contributed | Community / GitHub | Engineering teams with DevOps capacity |
| DataHub Cloud Professional | Free | Fully managed | Included | Standard | Small to mid-size teams evaluating the platform |
| DataHub Cloud Enterprise | Custom quote | Fully managed | Advanced AI-powered discovery, observability, governance | Dedicated support, customizable options | Large organizations with complex data landscapes |
The open-source path gives you the full metadata platform -- data discovery, cross-platform and column-level lineage tracking, 70+ native integrations, and federated governance. You get the same core that powers metadata management at some of the largest data organizations in the world. DataHub Cloud layers on AI-powered features like natural language metadata querying, AI-driven anomaly detection, GenAI documentation, AI-based classification, and automated smart propagation. The Enterprise tier adds advanced security, dedicated support, and customizable deployment options tailored to your organization's data landscape.
We recommend starting with the free Cloud Professional tier to evaluate the managed experience before committing to an Enterprise contract. This gives you hands-on access to the AI-powered discovery and observability features without any financial risk.
Hidden Costs and Considerations
Self-hosting DataHub carries significant hidden costs that the zero license fee obscures. You will need dedicated infrastructure for the metadata store, a search index (Elasticsearch or OpenSearch), and a message broker (Kafka). Engineering teams typically spend weeks on initial setup and ongoing maintenance, including version upgrades and schema migrations. Data migration from an existing catalog is another non-trivial cost that organizations frequently underestimate. For DataHub Cloud Enterprise, watch for implementation fees, onboarding costs, training expenses, and annual renewal price increases. The volume of metadata ingested and number of active users both influence Enterprise pricing negotiations. We also recommend clarifying connector costs upfront, as some integrations beyond the core 70+ may require additional configuration effort.
How DataHub Pricing Compares
DataHub occupies a unique position in the data catalog market by offering a genuinely free, production-ready open-source option alongside its managed cloud service. This contrasts sharply with enterprise-only competitors where even getting a demo requires a sales conversation.
| Tool | Pricing Model | Starting Price | Best For |
|---|---|---|---|
| DataHub | Freemium (Open Source + Cloud) | Free (self-hosted or Cloud Professional) | Teams wanting open-source flexibility with optional managed upgrades |
| Alation | Enterprise | $16,500/month | Large enterprises needing a turnkey data intelligence platform |
| Secoda | Freemium | $99/month | Small teams needing a lightweight data catalog with quick setup |
| Snowplow | Usage-Based | $9/month | Teams focused on behavioral data collection and pipeline analytics |
Alation sits at the premium end of the market with base subscriptions ranging from $60,000 to $198,000 per year and a monthly base license around $16,500. That puts it firmly in enterprise budget territory, making DataHub's free tier an obvious starting point for budget-conscious teams that still need a serious metadata platform. Secoda offers a middle ground with its $99/month Premium tier and a free tier that includes 1 editor, 500 resources, and 2 integrations. While Secoda is quick to deploy, those resource caps become limiting fast for growing data teams. DataHub's open-source version has no such artificial caps on users, resources, or integrations.
Snowplow operates in a different segment as a usage-based behavioral data platform starting at $9/month, but it appears in the same category and is worth noting for teams evaluating their broader data stack costs.
For organizations evaluating total cost of ownership over a multi-year horizon, DataHub's self-hosted path delivers the lowest licensing cost in the data catalog category, provided you have the engineering capacity to manage the deployment. If you factor in the cost of a dedicated platform engineer, the managed Cloud Enterprise option may actually deliver better value despite the subscription fee -- especially for teams where engineering time is the scarcest resource.