Collibra or OpenMetadata: when each fits and what the decision turns on
Choose Collibra when your organization wants a managed SaaS governance platform with built-in governance workflows and no internal team to run it. Choose OpenMetadata when the metadata itself must stay inside your own infrastructure, when Apache-2.0 licensing matters to your procurement, and when you have engineers who can operate Kubernetes, a database and a search service. Most readers arrive with one of three triggers: a Collibra renewal that prompts a re-evaluation, a data residency rule that the current deployment no longer satisfies, or an on-premises Collibra installation that lost maintenance support for commercial customers on January 30, 2023, which Collibra's release announcements confirm (the vendor continues on-premises support for the public sector only). Confirm your current deployment model and contract terms with Collibra before you assume any of these paths.
Collibra fits when the business expects stewardship, approval and governance workflows to work out of the box, when the catalog is shared by data, legal and compliance teams who need a vendor-run product, and when no platform team is available to patch, scale and back up a self-hosted service. Its cloud model removes that operating burden, but the metadata then lives in the vendor's cloud and Edge sites handle processing inside your network. OpenMetadata fits when the catalog must reside in your data center or private cloud, when your security team needs to review the code and deployment options directly, and when a platform team can own Kubernetes or bare metal deployments, upgrades and connector maintenance. OpenMetadata's production options include Helm charts on Kubernetes, bare metal and Docker Compose for evaluation only. Ask your team whether it can absorb the 2.x upgrade steps, including the breaking changes listed in the release notes.
Decide on four factors. First, metadata location: list which regulated data sets and metadata fields must never leave your network, and test whether a vendor-run service or an Edge deployment meets that rule in writing. Second, required workflows: export your current approval, attestation and stewardship workflows and check which ones OpenMetadata ships with and which you would rebuild. Third, operating capacity: name the people who will run the platform after go-live and confirm they have time for it. Fourth, migration scope: count the glossary terms, assets, relations and connectors you must move. The export path matters here, because Collibra's CSV and XLSX exports follow the filters and columns on screen, so the scope you select determines what arrives in the new catalog.
Which scenarios favor Collibra and which favor OpenMetadata
This table matches common operating conditions to the platform that usually fits them better. Read each row against your own constraints, since the right answer often depends on where metadata must live, what workflows already exist and who will run the platform. The main takeaway is that residency, team capacity and lineage sources tend to decide the choice more than feature lists do.
| Scenario | Better fit | Why |
|---|---|---|
| Data residency requires catalog metadata to stay inside your network | OpenMetadata | Self-hosted OpenMetadata runs on your Kubernetes, bare metal or cloud accounts, so metadata stays in your environment. Confirm with Collibra whether your deployment requires Edge sites or SaaS-hosted storage for the features you need. |
| Collibra renewal with stakeholder workflows already built and in daily use | Collibra | Rebuilding approval workflows, stewardship roles and custom asset types takes effort. If those workflows carry significant business value, staying on Collibra avoids that migration cost for now. |
| No platform engineering team to run Kubernetes, databases and search | Collibra | OpenMetadata needs a database, a search service and an application tier maintained by someone. Without that capacity, a managed platform reduces operational load, provided the contract terms meet your residency rules. |
| Heavy technical lineage pulled from pipelines and transformation jobs | OpenMetadata | OpenMetadata supports table, column, dashboard, pipeline and metric lineage with OpenLineage event integration. Teams with many pipelines should verify connector coverage for their specific tools before committing. |
| Public sector body that needs an on-premises option | Collibra | Collibra states it will continue to support on-premises environments for the public sector, while commercial on-premises maintenance ended January 30, 2023. Confirm the current on-premises terms directly with Collibra. |
| Teams that want upgrades handled by the vendor | Collibra | A vendor-run SaaS product removes upgrade planning from your team. With OpenMetadata, upgrades are your responsibility unless you engage Collate or an implementation partner for support. |
| Teams that need programmatic access and an open API surface | OpenMetadata | OpenMetadata provides REST APIs, a Python SDK, TypeScript packages and Java libraries, which helps automation-heavy data platform teams. Check the API coverage needed for your current Collibra scripts. |
| Organizations with a fixed budget for licensing but spare engineering time | OpenMetadata | OpenMetadata is Apache-2.0 licensed, so software licensing is not a recurring line item. Infrastructure, staffing and any commercial support from Collate remain costs to plan for. |
Where your metadata lives and who controls the platform
Collibra and OpenMetadata differ most in where the catalog runs and who operates it. The cards below cover the hosting options, the support status of on-premises Collibra, the deployment paths for OpenMetadata, and the security and compliance work that stays with your team.
Collibra runs as SaaS with Edge inside your network
Collibra Platform is run by Collibra on AWS and Google Cloud, so your catalog metadata sits in Collibra's cloud. Edge sites can process data inside your network for connectivity to sources. Ask Collibra where Edge stores or caches metadata, which regions host your tenant, and what your contract says about data location and deletion.
On-premises support ended for commercial customers
Collibra ended maintenance support for on-premises environments for commercial customers on January 30, 2023. Collibra says it continues to support on-premises environments for the public sector. If your catalog still runs on premises, confirm your support status in writing and plan the platform decision before your next renewal.
OpenMetadata on your Kubernetes or bare metal
OpenMetadata documents production deployments with Helm charts on Amazon EKS, Azure AKS, Google GKE or on-premises Kubernetes, and on bare metal without Kubernetes. The metadata store, search index and ingestion services then run in your cloud account or data center. Your team owns sizing, backups, patching and upgrades for each of these components.
Docker Compose is for evaluation only
OpenMetadata's Docker Compose setup is documented for evaluation, not production. Use it to test connectors, glossary imports and lineage views with sample data before you size a production cluster. Plan the move from the evaluation stack to Kubernetes or bare metal as a separate work item, with its own backup and high availability design.
SSO and security settings to confirm
Collibra manages authentication for its SaaS tenant, while a self-hosted OpenMetadata instance needs you to configure login, role mapping and access controls. Review the OpenMetadata security documentation for supported identity providers, token handling and API access, and test each setting in a staging environment. Confirm how your identity provider groups map to catalog stewards and administrators.
Compliance evidence that auditors issue
DeployOpen can prepare systems, configuration records and evidence for a compliance assessment, including access settings, backup records and change logs from a self-hosted catalog. DeployOpen does not issue audit reports, attestations or certifications. Ask your independent auditor which evidence they need from the catalog, and confirm early that Collibra's SaaS audit documentation covers the same controls you will need to show after migration.
What the license and editions mean for a regulated buyer
OpenMetadata is released under the Apache License 2.0, so the software itself carries no license fee and you can run it inside your own network without a vendor subscription. The project is maintained by Collate, which also offers commercial enterprise capabilities and premium support. That split means the buyer chooses between two operating models: community operation, where your own engineers own upgrades, patching, backups and incident response, or a paid support relationship with Collate for the parts you do not want to staff. Before choosing, confirm in writing which capabilities sit in the open-source edition and which are reserved for the commercial offering, because the answer changes the security and governance features your team can rely on from day one.
Collibra is a commercial subscription, and the terms you sign determine what you can do with your metadata over time. Request written terms that cover the support scope and response expectations, the export rights for your assets, relations, glossaries and history if you leave, and the conditions for renewal, including notice periods and price adjustment mechanisms. Also ask how Collibra handles deployment options for your sector, since the vendor's release notes (Collibra release notes) describe on-premises support as ending for commercial customers while continuing for the public sector. Get those statements in the contract, not only in marketing material.
Ask Collate for the same written detail before you commit: what the paid support tiers include, who holds responsibility for security fixes in each tier, and what happens to your deployment if you stop paying. Your legal and procurement teams should compare the two sets of terms side by side, including the exit path. A useful test is whether you could export your catalog with a documented method and load it elsewhere without the vendor's cooperation. Treat the answers as inputs to your risk register, not as details to settle after the decision.
How operating effort differs between the two models
In the Collibra model, the vendor runs the SaaS platform on AWS and Google Cloud, so hosting, infrastructure and platform upgrades sit with Collibra. Your effort moves to stewardship, content, workflow configuration and source integration. Edge sites are the exception: where you process data inside your network, your team operates those components.
- Hosting and patching: Collibra operates the SaaS environment, so your staff do not size clusters, patch databases or manage search indexes for the core product.
- Edge infrastructure: If you deploy Edge, your team owns the hosts, networking and their lifecycle.
- Stewardship and content: Business terms, owners, domains and approval workflows need ongoing maintenance by your governance staff, and no vendor removes that work.
- Exit planning: Bulk exports run through table-based CSV or XLSX files that follow on-screen filters, so migration preparation consumes effort before any switch.
Confirm with Collibra which components run in your network, which regions host your tenant and what upgrade notice your team receives.
OpenMetadata's production deployment is documented on Kubernetes with Helm charts, on Amazon EKS, Azure AKS, Google GKE or on-premises Kubernetes. Your platform team then owns the cluster, the Helm release, the metadata database, the search service and the ingestion workloads. Docker Compose is documented for evaluation, so plan the production build from the start.
- Cluster and Helm release: Your team installs, configures and upgrades the charts, and owns node pools, ingress, certificates and backups.
- Database and search: The metadata store and search layer are yours to size, back up and monitor, so confirm supported versions before you deploy.
- Ingestion scheduling: Connectors for warehouses, BI tools and pipelines run as scheduled jobs, and each needs credentials, schedules and failure handling.
- Security configuration: Authentication, secrets management and network policies are your responsibility, so review the security documentation before go-live.
Check whether your platform team already runs stateful workloads of this kind, because that determines how much new operating load the catalog adds. OpenMetadata deployment docs list the supported environments.
Bare metal runs OpenMetadata without Kubernetes, on hosts you provide. The documented prerequisites are Java 21, MySQL 8.0.42 or later or PostgreSQL 15 or later, and Elasticsearch 9.x or OpenSearch 3.x. The documented minimum server size is 2 vCPUs, 4 GB RAM and 20 GB storage, while the database and search services each need at least 2 vCPUs, 2 GB RAM and 30 GB storage.
- Java runtime: Java 21 must be present on the server host, so JVM installation, patching and version control become your tasks.
- Database: Choose MySQL 8.0.42 or later or PostgreSQL 15 or later, and plan replication, backups and restore tests yourself.
- Search service: Run Elasticsearch 9.x or OpenSearch 3.x as its own service with the documented minimum of 2 vCPUs, 2 GB RAM and 30 GB storage.
- Sizing: The documented minimums are a starting point, not a production sizing. Model capacity against your asset count, profiling schedule and ingestion concurrency.
Confirm exact versions in the bare metal deployment docs for your release before ordering hosts.
OpenMetadata 2.0 was released on August 24, 2026, and maintenance releases 2.0.1 to 2.0.5 followed about every one to two weeks. Upgrade work is a recurring cost that your team carries in either deployment model, because you decide when to adopt each release. The 2.0 release notes list behavior changes and breaking changes that affect configuration, images and connectors.
- Release notes first: Read the 2.0 release notes before each upgrade, since breaking changes alter configuration and images.
- Ingestion images: Rebuild custom ingestion images for Python 3.12, and update Databricks connectors to the new auth format.
- Configuration: Move embedding credentials into the llmConfiguration block if you use those features.
- Quality tooling: Migrate Great Expectations to 1.3 before upgrading to 2.0.
- Defaults: Dynamic Sampling is now the profiler default, the Context Center replaces the Knowledge Center and MCP is enabled by default, so validate those behaviors in a test environment.
Ask whether your team has a staging environment that mirrors production before the first upgrade, and who approves each maintenance release.
Cost of ownership: what you pay for on each side
On the Collibra side, the main cost is the subscription for the managed platform, which covers hosting, upgrades and vendor support. Where data must be processed inside your network, Edge sites add their own infrastructure and operating effort on your side. Ask the vendor to itemize the subscription by user or asset tier, by connector and by Edge deployment, and to state which of these scale with the number of sources you onboard. Confirm in writing whether any on-premises option is offered to your organization, since Collibra's release announcements say maintenance support for commercial on-premises environments ended on January 30, 2023.
On the OpenMetadata side, there is no license fee, but you pay for everything the subscription used to cover. That means Kubernetes or bare metal capacity, the database and search services (the minimum sizing in the bare metal documentation is a starting point, not a production estimate), backups, monitoring, connector configuration, and upgrades. Upgrade cost depends on how much custom ingestion and configuration you carry: the 2.0 release notes list breaking changes that require rebuilt ingestion images and a Great Expectations migration. Optional Collate support is a separate commercial decision. Staff time is usually the largest line, so count it explicitly, including stewards, data engineers and the platform owner.
One-time costs include migrating assets and relations, building connectors, cleaning up glossary terms and re-creating domains and stewardship roles. Recurring costs include infrastructure, upgrades, connector maintenance and ongoing stewardship. Costs rise with the number of sources, the depth of column-level lineage you need, the volume of profiling and data quality tests, and how many environments you run. They fall when you reuse existing pipelines, standardize on OpenLineage events and limit the glossary to terms that have owners. Before comparing totals, ask for a written scope that lists each component, its owner (you, a partner or the vendor), and its one-time or recurring basis, and ask any implementation partner to state assumptions about sources and environments.
What a move from Collibra to OpenMetadata involves
The sequence turns Collibra's catalog, glossary, ownership and lineage into an OpenMetadata instance that your team operates, with each stage checked before the next begins. Running both catalogs in parallel lets you confirm results before Collibra is retired.
Inventory assets, relations and owners
Your data governance lead and a Collibra administrator list the asset types, communities, domains, relation types and stewardship roles in use, and mark which ones matter to downstream users. Collibra's own reports and the Core REST API can help confirm counts. The step is done when you have a written inventory that maps each Collibra asset type to a planned OpenMetadata entity, and the owners of each area have signed off on it.
Export assets and relations from Collibra
A Collibra administrator exports tables of assets or complex relations to CSV or XLSX from the catalog. Collibra's documented export follows the filters, columns and sorting applied to the table on screen, so the team should set those views deliberately before exporting and record which view produced each file. The step is done when every export file is stored in a controlled location and a row count matches the view in Collibra.
Load business glossaries through the CSV import
The governance team prepares the exported glossary data for OpenMetadata's glossary CSV import, checking term names, definitions, owners, synonyms and related-term links against the template. They load the file into a test instance first and review the result with the business stewards who own each term. The step is done when stewards confirm that terms, definitions and relations display correctly and no term is duplicated.
Re-create domains and stewardship roles
Platform engineering and the governance lead create OpenMetadata domains, teams, owners and roles to match the inventory from step one, then assign them to glossary terms and data assets. Collibra workflows and approval paths do not transfer automatically, so each one needs an explicit decision about whether it is rebuilt, simplified or retired. The step is done when every domain has a named owner and each steward role has the permissions it needs in the new instance.
Re-ingest sources with OpenMetadata connectors
Data platform engineers replace Collibra Edge pipelines by configuring OpenMetadata connectors for each warehouse, BI tool, pipeline and ML platform in scope, and by running ingestion with credentials held in your own secrets store. Each connector run is compared with the Collibra asset list for the same source to find gaps in tables, columns or dashboards. The step is done when every in-scope source ingests on a schedule and its asset counts are reconciled and explained.
Validate lineage and data quality
Data engineers and stewards check table, column and pipeline lineage in OpenMetadata against the lineage Collibra currently shows for a sample of critical datasets, and confirm where OpenLineage events from pipelines are needed to fill gaps. They also review any data quality tests that are being moved over. The step is done when the agreed sample of lineage paths matches, and each remaining gap has a recorded owner and a planned fix.
Run both catalogs in parallel
For a period agreed in advance by the governance and platform leads, users search and govern in both catalogs while the team logs discrepancies in definitions, ownership, lineage and access. Your security team confirms that OpenMetadata's authentication, access controls and secrets handling meet your policies, and that Collibra remains available until cutover. The step is done when open discrepancies are resolved or accepted in writing and the business owners approve cutover.
Cut over and retire Collibra
The team switches users, integrations and stewardship tasks to OpenMetadata, updates links from downstream tools, and archives the final Collibra exports under your retention policy before access is removed. Operations staff take over upgrades and backups for the self-hosted instance. The step is done when Collibra is read-only or decommissioned, the archive is verified, and the operating runbook names who maintains OpenMetadata. For the full procedure, see the detailed migration guide.
Questions buyers ask before switching from Collibra
How much effort does a migration from Collibra to OpenMetadata take?
Effort depends mostly on how much governance content you have built inside Collibra and how many sources you need to reconnect. The largest drivers are the number of technical sources to re-ingest, the size of the business glossary, the number of custom asset types and workflows, and how much lineage history you want to carry over. Collibra's table-based CSV and XLSX exports cover assets and relations, but they do not map one to one onto OpenMetadata's model, so each export needs review. Ask any implementation partner to break the work into sources, glossary, ownership and workflows, and to price each part separately in a written scope.
Can our team migrate from Collibra without outside help?
A team with Kubernetes or database operations experience and a clear inventory of Collibra assets can often run a pilot alone, especially with a small set of sources. Teams usually need outside help for the parts that are hard to reverse: designing the deployment, rebuilding stewardship and approval logic, and validating that lineage and ownership match what Collibra showed. OpenMetadata publishes deployment options on Kubernetes and bare metal, so the platform itself is accessible, but the governance design is still your team's decision. DeployOpen plans, implements and documents self-hosted platforms in your environment under a fixed scope agreed in writing, so you can decide which parts to keep in-house.
What does the migration require from data stewards and platform engineers?
Platform engineers own the deployment, connectors, upgrades, backups and access controls. Data stewards own the decisions that a tool cannot make for them: which glossary terms are authoritative, who approves changes, which domains and owners map to which datasets, and which classifications apply. Stewards should review each exported glossary and ownership record before it is loaded, because the import preserves what it receives, including stale entries. Plan time for both groups to test the same sample assets in the new catalog. Without steward sign-off, a technically complete migration can still leave the catalog with unclear ownership.
How long does the migration take, and what sets that duration?
No duration is fixed in advance because it depends on your estate. The main factors are the number of sources, how many glossary terms and relations need cleaning, whether Collibra Edge sites must be replaced with OpenMetadata connectors reachable from your network, the number of approval workflows to redesign, and how many teams must validate results. Parallel running adds time but lowers cutover risk. Ask for a timeline tied to named milestones in the written scope, and ask how each source's validation is counted.
Does OpenMetadata cover the governance workflows our Collibra users rely on?
OpenMetadata covers the core catalog functions: glossaries, classifications, domains, ownership, table, column, dashboard, pipeline and metric lineage, data quality tests, profiling and freshness checks, plus REST APIs and SDKs. Its 2.0 release added custom intake forms and changed the Knowledge Center to the Context Center. Confirm each Collibra workflow individually, such as multi-step approvals, custom asset types, operating model templates and specific reporting, against the current OpenMetadata documentation. Workflows with no direct equivalent usually need a redesign, not a copy, and that redesign is part of the scope.
What happens to our Collibra licensing during a parallel run?
Your Collibra subscription terms govern this, not anything in OpenMetadata's licensing. OpenMetadata is released under Apache License 2.0, so the open-source software itself carries no license fee. During a parallel run you keep Collibra access until your contract ends, so you pay for both platforms for that period. Review your notice period, renewal date and any data export obligations with Collibra before you start, and ask your legal team to confirm how the export rights in your contract apply once you stop using the service.
How should we decide between staying on Collibra and moving to OpenMetadata?
Stay on Collibra when your governance program depends on Collibra-specific workflows, when your teams already run Collibra well, or when a managed service is the right fit for your staffing. Move when you need the catalog to run inside your own infrastructure, when licensing or renewal terms no longer fit, or when open APIs and open-source connectors matter more than the bundled workflows. Compare total cost by component, including infrastructure, people, connector work, migration and upgrades, and check whether Collibra's own on-premises path is available to you, since Collibra ended maintenance support for commercial on-premises environments on January 30, 2023.
How DeployOpen helps you evaluate, implement and migrate
DeployOpen plans, implements, integrates, hardens, documents and supports self-hosted open-source platforms inside your own infrastructure, so OpenMetadata can run in your cloud account, data center or air-gapped network. We start with a written scope that covers the Collibra estate you need to keep, the OpenMetadata deployment, and the handover.
How we scope
- We inventory the Collibra assets, relations, glossaries, workflows and Edge-connected sources that must carry over.
- We agree the target OpenMetadata deployment model, including Kubernetes or bare metal, database and search services, and where metadata is stored.
- Engagements are fixed-scope, with scope, deliverables and timelines agreed in writing before any work starts.
How we build
- We deploy OpenMetadata in your environment and configure authentication, connectors and OpenLineage event collection for your sources.
- We load glossaries, domains and ownership from the Collibra CSV or XLSX exports and check the results against the source records.
- We test lineage, data quality tests and access controls, and document each step so your team can repeat it.
How we hand over
- You receive architecture notes, runbooks, configuration records and a list of Collibra workflows that need a manual replacement.
- We walk your platform, security and data stewardship teams through daily operation, ingestion schedules and the upgrade process.
- We prepare systems, controls and evidence for your compliance assessments, while independent auditors issue any audit reports or attestations.
How we support
- Ongoing support, upgrades and continuous testing are available as a retainer after handover.
- Retainers can cover OpenMetadata version upgrades, including breaking changes that must be reviewed before each upgrade.
- Ask any provider to confirm which support, upgrade and backup services are included in the quote and who performs them.
