Enterprise data governance for Data & Analytics teams and pipelines
Collibra is an enterprise-grade data governance and catalog platform that centralizes metadata, lineage, and stewardship for large organizations. It is ideal for data governance leaders and analytics teams who need policy enforcement, certified datasets, and auditability across Snowflake, Databricks, and cloud data sources. Pricing is not publicly listed - Collibra sells via custom enterprise contracts with free trials available.
Collibra is an enterprise data governance and catalog platform that helps organizations discover, govern, and trust data across the analytics stack. Its primary capability is centralized metadata management-business glossaries, stewardship workflows, and automated lineage-to enforce policies and certify datasets for analytics. Collibra differentiates by combining a metadata graph with role-based stewardship and SLA-driven workflows tailored to regulated enterprises. The tool serves data governance managers, data stewards, and analytics teams in finance, healthcare, and retail. Pricing is enterprise-focused and sold via custom contracts, with a limited-duration free trial available for evaluation.
Collibra is a commercial data governance and data intelligence vendor founded in 2008 and positioned for large enterprises that require formalized metadata control. The product is delivered as Collibra Data Intelligence Cloud-a multi-module platform that unifies cataloging, governance, lineage, and policy management. Collibra's core value proposition is enabling organizations to create a single source of truth for metadata: business glossaries linked to technical assets, role-based stewardship, and certification processes that support compliance, auditability, and trusted analytics across disparate data systems.
Key features span several practical capabilities. The Collibra Data Catalog provides searchable metadata plus automated discovery and ML-suggested classifications to speed dataset onboarding. The platform's lineage capability captures end-to-end lineage across SQL, Spark, and ETL pipelines and supports column-level lineage for many connectors, helping teams trace data transformations and impact.
Stewardship and workflow tooling allow assignment of data owners, SLAs, and approval flows; forms and tasks are configurable so stewards can certify datasets and log incidents. Collibra also exposes REST APIs and a set of prebuilt connectors for Snowflake, Databricks, Google BigQuery, Microsoft Power BI, and cloud object stores to integrate with modern analytics stacks. Pricing for Collibra is not published as fixed per-seat tiers; instead the company offers custom enterprise pricing and modular licensing for Data Catalog, Data Lineage, Data Privacy, and Data Quality modules.
A free evaluation or trial is commonly available for prospective customers (often 14-30 days, depending on the sales engagement). Paid contracts typically include implementation services, SSO/SCIM, SLAs, and additional governance modules; costs scale with modules, connectors, and seat counts, so expect enterprise-level licensing rather than simple per-user monthly rates. Collibra targets mid-market to global enterprise budgets rather than small-team subscriptions.
Collibra is used by data governance managers to implement organization-wide policies, by data stewards to certify datasets and manage data quality incidents, and by analytics engineering teams to discover lineage and reduce production incidents. Example workflows: a Data Governance Manager uses Collibra to enforce GDPR retention policies and reduce compliance risk, while an Analytics Engineer uses lineage to cut incident resolution time by tracing faulty ETL to its source. For organizations focused on catalog-first analytics, Collibra competes most directly with Alation and Informatica, with Collibra skewing toward governance controls and steward workflows versus pure discovery platforms.
Three capabilities that set Collibra apart from its nearest competitors.
Which tier and workflow actually fits depends on how you work. Here's the specific recommendation by role.
Collibra is useful when one person needs faster output without adding a complex workflow.
Collibra should be tested for collaboration, quality control, permissions and repeatable results.
Collibra is worth buying only if the pilot shows measurable time savings or quality gains.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free trial | Free | Time-limited access to Data Intelligence Cloud (typically 14-30 days) | Teams evaluating governance before buying enterprise contracts |
| Professional (modular) | Custom | Core catalog, lineage, basic stewardship; seats and connectors limited per contract | Mid-market teams needing cataloging plus governance modules |
| Enterprise (full) | Custom | Unlimited metadata, SSO, SLAs, advanced privacy/quality modules | Large regulated organizations requiring full governance stack |
Scenario: A small team uses Collibra on one repeated workflow for a month.
Collibra: Free | Freemium | Paid | Enterprise ·
Manual equivalent: Manual review and execution time varies by team ·
You save: Potential savings depend on adoption and review time
Caveat: ROI depends on adoption, usage limits, plan cost, output quality and whether the workflow repeats often.
The numbers that matter — context limits, quotas, and what the tool actually supports.
What you actually get — a representative prompt and response.
Choose Collibra over Alation if you prioritize governance workflows, SLA-driven stewardship, and modular enterprise compliance features.
Real pain points users report — and how to work around each.