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Collibra

Enterprise data governance for Data & Analytics teams and pipelines

Free | Freemium | Paid | Enterprise ⭐⭐⭐⭐☆ 4.4/5 📊 Data & Analytics 🕒 Updated
Visit Collibra ↗ Official website
Quick Verdict

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.

About Collibra

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.

What makes Collibra different

Three capabilities that set Collibra apart from its nearest competitors.

  • Central metadata graph that links business glossary terms to technical assets and steward responsibilities for audit trails.
  • Configurable stewardship workflows and SLAs that require explicit certification steps before datasets are marked production-ready.
  • Modular licensing that separates catalog, lineage, privacy, and quality modules for targeted enterprise procurement and deployment.

Is Collibra right for you?

✅ Best for
  • Data Governance Managers who need enterprise-wide policy enforcement and audit trails
  • Data Stewards who need formal certification workflows and incident tracking
  • Analytics Engineers who need lineage to reduce incident investigation time
  • Compliance teams who need documented metadata for GDPR, CCPA, and audit readiness
❌ Skip it if
  • Skip if you need a low-cost per-user catalog for small teams or startups
  • Skip if you require out-of-the-box lightweight SaaS with fixed monthly pricing

✅ Pros

  • Comprehensive stewardship workflows that record certifications, tasks, and SLA enforcement for auditability
  • Robust lineage across SQL, Spark, and cloud data platforms, enabling impact analysis and troubleshooting
  • Enterprise-ready security: SSO/SSO integrations, role-based access controls, and audit logs for compliance

❌ Cons

  • No public per-seat pricing; licensing is custom and often expensive for small teams
  • Initial implementation can require specialist consultants and multi-week configuration effort

Collibra Pricing Plans

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

Best Use Cases

  • Data Governance Manager using it to reduce compliance incidents by formalizing retention policies
  • Analytics Engineer using it to trace and resolve ETL failures and cut incident time-to-resolution
  • Chief Data Officer using it to certify data assets and measure data domain SLAs across the enterprise

Integrations

Snowflake Databricks Microsoft Power BI

How to Use Collibra

  1. 1
    Connect a data source
    Open the Collibra Data Intelligence Cloud console, go to Connectors (or Sources), select Snowflake/BigQuery/Databricks, enter credentials and test the connection. Success looks like an active connector status and a populated list of schemas available for cataloging.
  2. 2
    Crawl and catalog assets
    From the Connectors page, choose schemas or buckets to scan, start a discovery job, and monitor progress in the Jobs panel. When complete you’ll see datasets appear in the Data Catalog with basic metadata and sample profiles.
  3. 3
    Create business glossary terms
    Open the Business Glossary area, click New Term, define term attributes (definition, steward, sensitivity), then link the term to cataloged datasets. Success is visible when datasets show glossary tag badges and steward assignments.
  4. 4
    Configure stewardship workflow
    Navigate to Workflows or Governance Workbench, create a new Certification or SLA workflow, assign stewards and tasks, and enable notifications. A working workflow will show active tasks and allow stewards to certify datasets in the Catalog.

Collibra vs Alternatives

Bottom line

Choose Collibra over Alation if you prioritize governance workflows, SLA-driven stewardship, and modular enterprise compliance features.

Frequently Asked Questions

How much does Collibra cost?+
Collibra uses custom enterprise pricing. Collibra does not publish fixed per-seat monthly rates; pricing varies by modules (Catalog, Lineage, Privacy, Quality), connector counts, and implementation services. Prospective buyers typically receive quotes during the sales process. Expect enterprise-level license and professional services costs rather than a low-cost per-user SaaS plan.
Is there a free version of Collibra?+
No permanent free tier; trial available. Collibra commonly offers a time-limited evaluation (often 14–30 days) so teams can test the Data Intelligence Cloud. Full production use requires a paid contract. The trial exposes core catalog and governance features but excludes long-term SLAs, enterprise support, and some advanced modules.
How does Collibra compare to Alation?+
Collibra emphasizes governance over pure discovery. Compared with Alation, Collibra focuses on stewardship workflows, SLA enforcement, and modular governance licensing. Alation often emphasizes data discovery and search UX. Choose Collibra when you need auditable certifications, formal policy enforcement, and integration with enterprise compliance programs.
What is Collibra best used for?+
Best for enterprise data governance programs at scale. Collibra excels at building business glossaries, enforcing data policies, tracking certifications, and providing lineage for regulated environments. It’s particularly useful for organizations that need documented stewardship, audit trails, and dataset certification to support compliance and trusted analytics.
How do I get started with Collibra?+
Sign up for a trial and onboard a dataset. Request a trial via collibra.com, provision the trial tenant, configure a connector (e.g., Snowflake), run a discovery job, then create glossary terms and assign a steward. Success looks like searchable datasets, glossary links, and a functioning certification workflow.

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