Alation vs OpenMetadata: when each option fits
If your Alation renewal, licensing change or data residency rule is forcing a decision, the answer depends on three things: which cloud-only Alation features your teams actually use, how strictly metadata must stay inside your infrastructure, and whether you have engineers to operate a self-hosted catalog. Alation Cloud Service fits organizations that want Alation to run and upgrade the instance, and that depend on features such as the Alation Agent or the Microsoft Teams and Slack integrations. Customer-managed Alation fits teams that must host the software themselves but still want Alation's curation model and existing content. Before you renew, list every Alation feature in use and check it against Alation's documentation of cloud-only features, because those features cannot be recreated on a customer-managed instance.
Self-hosted OpenMetadata fits when the license must be Apache-2.0, when metadata and lineage must stay in your own Kubernetes or bare metal environment, and when your platform team can run its services. Its deployment docs describe production use on Kubernetes or bare metal, and the bare metal prerequisites (Java 21, a supported database and Elasticsearch 9.x or OpenSearch 3.x) show the operating work involved. Check the minimum sizing in the bare metal documentation against your expected source count and retention, and confirm with the project which connectors and integrations you need. Also plan for the 2.0 breaking changes, such as the llmConfiguration block and the Python 3.12 ingestion image rebuild, if you upgrade from an earlier release. Keep Alation where its vendor-run operations and existing curation matter more than control over the platform. Move toward OpenMetadata where data control and licensing outweigh the cost of running the catalog yourself.
Which scenarios favor Alation and which favor OpenMetadata
This table pairs common buyer scenarios with the platform that usually fits better and the condition that makes it so. Read each row against your own requirements, since a single condition often decides the outcome. The main takeaway is that Alation fits teams that depend on its cloud-only features or its steward workflows, while OpenMetadata fits teams that need Apache-2.0 licensing and in-house control of the stack.
| Scenario | Better fit | Condition that makes it so |
|---|---|---|
| Dependence on cloud-only Alation features | Alation Cloud Service | Your teams rely on the Alation Agent, Microsoft Teams or Slack integrations, the Chrome Extension, OAuth 2.0 API authentication or AWS PrivateLink on Enterprise+ plans, and you accept that data stays in Alation's hosted environment. |
| Strict on-premises or air-gapped requirement | OpenMetadata | Policy requires every component to run inside your own network with no vendor-hosted control plane. Confirm the air-gapped image and dependency process with your own platform team before committing. |
| Platform team with Kubernetes experience | OpenMetadata | You already operate Kubernetes clusters and can run Helm-based production deployments, with the database and search service managed by your team. |
| Heavy steward workflows already built in Alation | Alation | Stewards rely on Alation's curation, articles and governance workflows daily, and migrating that content would cost more than the licensing difference. Ask Alation which workflows you would need to rebuild. |
| Requirement for Apache-2.0 licensing | OpenMetadata | Your procurement or open-source policy requires an Apache License 2.0 core that you can inspect, modify and deploy without a subscription. Commercial features from Collate remain separate. |
| Need for a managed service with a vendor-run upgrade path | Alation Cloud Service | Your organization prefers Alation to host, administer and upgrade the instance, and you do not want an internal team to run upgrades. |
| Broad connector coverage across warehouses, BI and pipelines | OpenMetadata | Your estate uses sources covered by OpenMetadata's connector list of more than 130 connectors. Verify each source you need against the current connector documentation before deciding. |
| Customer-managed Alation already deployed | Alation (short term) or OpenMetadata (long term) | Keeping customer-managed Alation is reasonable while migration is planned, but confirm which features Alation adds only to its cloud service before renewing. |
How OpenMetadata covers discovery, lineage and stewardship
OpenMetadata covers the core catalog functions a data team expects: table, column, dashboard, pipeline and metric lineage, fed by OpenLineage events as well as its own connectors, which it lists at more than 130 across warehouses, BI tools, pipelines and ML platforms. On top of lineage it provides data quality tests, profiling, freshness checks, glossaries, classifications and domains. Stewards work through glossary terms, classifications and domain ownership, so the questions to settle first are which domains own which assets, who approves glossary changes, and which classifications drive masking or access decisions in your environment. Confirm how each of these maps to the roles and workflows your stewards use today before assuming a one-to-one match with Alation's curation model.
Discovery depth is where the two products are least comparable on paper. Usage-driven ranking, search relevance and the way curated descriptions surface in results depend on your specific sources, query logs and how well connectors capture metadata from them. Run a proof of concept against a representative slice of your warehouses, BI dashboards and pipelines, and score search results with the people who use them daily. Do not assume an equivalent for Alation Agent, which Alation documents as available only in Alation Cloud Service, or for the Chrome Extension, Microsoft Teams and Slack integrations that the same documentation lists as cloud-only. If your users depend on those surfaces, treat their replacement as a separate workstream with its own owner.
For programmatic use, OpenMetadata exposes REST APIs, a Python SDK, TypeScript packages and Java libraries, which matters for teams that automate ingestion, push curated content or build internal tooling. Plan the integration work early, because scripts written against one catalog's API rarely carry over unchanged. Ask your platform team to confirm which API surfaces your automation needs, how authentication is configured for service accounts, and whether the chosen SDK version matches the OpenMetadata release you deploy. Those checks are cheap in a proof of concept and expensive to discover after cutover.
Capabilities side by side
This table compares how Alation (cloud or customer-managed) and self-hosted OpenMetadata cover the capabilities most teams weigh in a catalog decision. Where a cell says to confirm, the feature depth or the edition's entitlement must be checked in your own environment and against your contract before you rely on parity. The main takeaway is that OpenMetadata's open-source edition documents broad coverage, while several Alation features are reserved for its cloud service.
| Capability | Alation (cloud or customer-managed) | OpenMetadata (self-hosted, Apache-2.0) |
|---|---|---|
| Licensing | Commercial subscription; cloud service is the vendor's recommended option | Apache License 2.0; Collate offers managed service, commercial enterprise features and premium support |
| Connectors | Broad source catalog; confirm the list for your specific warehouses and BI tools | More than 130 connectors for warehouses, BI tools, pipelines and ML platforms |
| Lineage | Confirm table and column lineage coverage for your sources | Table, column, dashboard, pipeline and metric lineage with OpenLineage event integration |
| Data quality | Confirm native quality checks and any partner integrations in your edition | Data quality tests, profiling, freshness checks; confirm sampling settings in 2.0 upgrade notes |
| Glossary and classification | Glossary, curation and stewardship workflows; confirm custom fields and approval flows | Glossaries, classifications and domains; confirm approval workflow needs against your process |
| Programmatic APIs | Token-authenticated REST APIs; OAuth 2.0 API authentication is cloud-only | REST APIs, Python SDK, TypeScript packages and Java libraries; MCP server included |
| Chat and browser access | Alation Agent, Microsoft Teams and Slack integrations, and Chrome Extension are cloud-only | Confirm any chat or browser integrations in your release; none are listed as cloud-only in the supplied facts |
| Private network connectivity | AWS PrivateLink is available on Enterprise+ plans in the cloud service | Runs in your own network on Kubernetes, bare metal or Docker; connectivity is your responsibility |
| Hosting and upgrades | Cloud service is upgraded by Alation; customer-managed upgrades are yours | You operate upgrades; 2.0 requires Python 3.12 image rebuilds and Great Expectations 1.3 migration |
| Coexistence with Alation | Source of curated content for migration | Alation Sink connector writes into Alation; the Alation import path is a Collate feature, not open source |
Where metadata lives and who operates the platform
Alation Cloud Service and customer-managed Alation split responsibility for hosting, upgrades and patching differently, and self-hosted OpenMetadata moves all of that work to your team. The cards below cover where the metadata sits, how each option is deployed, and what your security and compliance reviewers should check before deciding.
Where the metadata is stored
Alation Cloud Service runs on Alation's servers, while customer-managed Alation runs in infrastructure you operate. OpenMetadata runs wherever you deploy it, so the catalog's metadata, lineage, profiling results and access logs stay in your own accounts or data centers. Ask Alation which regions and subprocessors hold your data under the cloud service, and confirm with your data protection team whether any metadata you ingest contains personal or regulated data that must not leave your boundary.
Who patches and upgrades
Under Alation Cloud Service, Alation administers and upgrades the instance. Under customer-managed Alation, your team installs, patches and upgrades the software and its supporting services. Self-hosted OpenMetadata shifts the same work to you, including the database, search service, ingestion workers and the Kubernetes or bare metal host beneath them. Name the owner of each upgrade window in writing before comparing platforms, because this recurring effort is often the largest difference in total cost.
Kubernetes and Helm deployment
OpenMetadata documents production deployments on Kubernetes with Helm charts, on Amazon EKS, Azure AKS, Google GKE or on-premises Kubernetes clusters. This option suits teams that already run a cluster and have a platform team to manage ingress, storage classes, secrets and node upgrades. Confirm that your cluster meets the sizing and database requirements in the deployment guide, and decide early whether the search service will be Elasticsearch or OpenSearch.
Bare metal and Docker trials
OpenMetadata can run on bare metal without Kubernetes, which requires Java 21, a supported MySQL or PostgreSQL database, and Elasticsearch 9.x or OpenSearch 3.x installed and maintained on your hosts. Docker Compose is intended for evaluation and local trials rather than production. Use a trial to test your connectors and SSO settings, then choose the production path based on the skills your operations team already has.
Identity and SSO configuration
Alation's single sign-on options depend on whether you use the cloud service or customer-managed software, so confirm the supported protocols and the process for mapping groups to roles in writing. For OpenMetadata, plan how users, roles and service accounts will be provisioned and how the identity provider integrates with its authentication settings. Test sign-in, role mapping and deprovisioning in a non-production environment before cutover.
Security review and compliance evidence
Review the OpenMetadata security documentation against your own control set, including how credentials, API tokens and database secrets are stored and rotated. DeployOpen can help prepare configurations, system descriptions and evidence that map to your framework. Independent auditors and certification bodies, not DeployOpen, decide whether those controls meet a standard, so involve your assessor early about which evidence they will accept.
Which OpenMetadata deployment fits your environment
Production deployments on a managed Kubernetes service are documented for Amazon EKS, Azure AKS and Google GKE, installed with Helm charts. The cloud provider runs the control plane, while your platform team still owns the OpenMetadata release, the Helm values, the ingestion schedules and the backup policy for the metadata database. The application itself needs Java 21 in its runtime, a MySQL 8.0.42 or later or PostgreSQL 15 or later database, and Elasticsearch 9.x or OpenSearch 3.x for search. The documented minimums are 2 vCPUs, 4 GB RAM and 20 GB storage for the server, with at least 2 vCPUs, 2 GB RAM and 30 GB storage each for the database and search services.
- Managed database and search: Decide whether to run the database and search service as managed cloud services or inside the cluster, and confirm the versions each option offers.
- Helm-driven upgrades: Plan upgrades through chart and image changes, and review the OpenMetadata 2.0 breaking changes before each step.
- Cloud identity and networking: Map cluster ingress, private endpoints and SSO to your existing cloud controls.
- Storage classes: Confirm persistent volumes meet the 30 GB minimum for the database and search services with room to grow.
- Ingestion workers: Size the pods that run connectors separately from the web server so scheduled crawls do not slow user searches.
Confirm the exact sizing for your source count and metadata volume through your own load testing before go-live.",
On-premises Kubernetes suits organizations that must keep metadata inside their own data centers or air-gapped networks. OpenMetadata's documentation covers on-premises Kubernetes as a production target alongside the managed cloud services. The same prerequisites apply: Java 21, a supported database version, and Elasticsearch 9.x or OpenSearch 3.x. Your team carries more of the stack, including the cluster itself, persistent storage, load balancing, certificate management and the database and search backups that a cloud provider would otherwise handle.
- Storage backend: Choose storage that supports the persistent volumes for the database and search pods, and test restore procedures before relying on them.
- Image supply chain: Mirror the container images and Helm charts into your internal registry, and confirm the ingestion images are rebuilt for Python 3.12 where you use custom connectors.
- Certificates and SSO: Manage internal certificates and connect the identity provider you already operate.
- Outbound access: Plan how connectors reach warehouses and BI tools across network segments, and whether the cluster can reach external services at all.
- Cluster ownership: Confirm who patches nodes, the Kubernetes version and the ingress controller.
Ask your Kubernetes platform team to validate sizing and failover under your own load before committing to this path.",
The bare metal path runs OpenMetadata directly on Linux hosts without Kubernetes. It fits teams that do not operate a container platform, or that want fewer moving parts for a single environment. 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 same documented minimums apply: 2 vCPUs, 4 GB RAM and 20 GB storage for the server, and at least 2 vCPUs, 2 GB RAM and 30 GB storage each for the database and search services. Service management, restarts, log rotation and scaling become your responsibility.
- Host separation: Consider running the application, database and search service on separate hosts so one failure or heavy indexing job does not affect the others.
- Process supervision: Define how services start on boot and restart after failure.
- Manual upgrades: Each release requires you to stop services, apply the new package, run the migration and validate ingestion.
- Backup scripting: Schedule database dumps and search index recovery, and rehearse restores.
- Capacity growth: Adding connectors or users usually means resizing hosts, not adding pods.
Review the bare metal deployment guide with your operations team before deciding, since the runbook is yours to maintain.",
Docker Compose is documented for evaluation and local trials, not for production. It lets a team load sample metadata, test connectors and judge the search and lineage experience in a short session on one machine. Because the setup is designed for trials, it does not provide the high availability, backup, upgrade discipline or access controls a production system needs. Treat any instance started this way as disposable, and do not load sensitive production metadata into it unless your security team has approved that environment.
- Scope of the trial: Limit tests to a few representative sources, such as one warehouse and one BI tool.
- Data handling: Use sample or masked metadata where possible, and remove the environment when the evaluation ends.
- Resource check: Confirm the host meets the documented minimums before judging performance.
- Migration to production: Plan a separate production build on Kubernetes or bare metal rather than promoting the trial stack.
- Evaluation criteria: Record connector coverage, lineage accuracy, search relevance and the effort to curate content, so the production decision rests on evidence.
Before leaving evaluation, confirm the production path and sizing with your own testing and written requirements.
What Alation licensing and OpenMetadata's Apache-2.0 license change
The first decision is what you are buying. An Alation subscription on Alation Cloud Service includes hosting, administration and upgrades by Alation, which is why Alation's documentation presents it as the recommended option. Customer-managed Alation shifts installation and maintenance to your team, while the license still comes from Alation. OpenMetadata is released under the Apache License 2.0, so the software itself carries no license fee. What you pay for instead is the infrastructure, the Kubernetes or bare metal estate, the database and search services, and the engineers who upgrade, back up and monitor the platform. Those costs recur every year, and they do not appear on a software invoice. Before comparing totals, write down which of them your organization already funds and which would be new.
Read the open-source license as a statement about the code, not about the whole product roadmap. OpenMetadata is maintained by Collate, which also offers commercial enterprise capabilities and premium support. Ask Collate and the OpenMetadata project which features sit in the open-source edition, which are reserved for paid tiers, and which connectors or AI features are included in the release you plan to run. Confirm this against the current OpenMetadata GitHub repository and your own proof of concept, since a feature list that was accurate at evaluation can change between releases. Also check which upgrade path applies to your version, because OpenMetadata 2.0 introduced breaking changes that affect credentials and ingestion images.
On the Alation side, request the current contract terms in writing before the renewal conversation. Ask which features are included in your plan and which are available only in Alation Cloud Service, and confirm the current status of the items Alation's documentation lists as cloud-only, including the Alation Agent, the Microsoft Teams and Slack integrations, the Chrome Extension, OAuth 2.0 API authentication and AWS PrivateLink on Enterprise+ plans. Then ask what happens to those features if you stay on customer-managed software at renewal, and whether any functionality you depend on would be withdrawn or repriced. A written answer to these questions tells you whether a move is a cost decision or a capability decision.
What a self-hosted catalog costs compared with an Alation subscription
An Alation subscription bundles software, hosting and upgrades into one contract when you choose Alation Cloud Service, while a self-hosted OpenMetadata deployment moves those items into infrastructure, staff time and vendor support lines you control. The cards below separate one-time work from recurring spend and name the drivers that move each figure up or down.
Subscription or license fees
With Alation, the recurring fee covers the software and, on Alation Cloud Service, the hosting and upgrades Alation performs. OpenMetadata is released under the Apache License 2.0, so the software itself carries no license fee. Ask Alation which of your features depend on the cloud service and whether your plan tier includes them. For OpenMetadata, the recurring cost is any commercial support or enterprise capability you buy from Collate, which should be priced from a written quote.
Infrastructure and database services
Self-hosting moves hosting cost to you. OpenMetadata's documented minimum server is 2 vCPUs, 4 GB RAM and 20 GB storage, and its database and search services each need at least 2 vCPUs, 2 GB RAM and 30 GB storage. Production sizing for search volume, profiling and Kubernetes node pools is well above these floors and should be modeled with your own metadata volume. This cost is recurring and grows with the number of sources and profiled tables.
Connector setup and content migration
Connector setup is mostly one-time work: configuring each OpenMetadata connector for warehouses, BI tools and pipelines, then scheduling ingestion. Alation content, including curated descriptions, glossary terms and ownership, must be extracted through Alation's APIs and mapped into OpenMetadata, which is planning and engineering time. Cost rises with the number of sources and the amount of curated content. Ask any implementation partner for the effort per source in a written scope before work starts.
Upgrades and breaking changes
Upgrades are a recurring cost on a self-hosted catalog, while Alation Cloud Service upgrades are performed by Alation. OpenMetadata 2.0 introduced breaking changes, including moving embedding credentials into an llmConfiguration block, a new Databricks auth format, rebuilding custom ingestion images for Python 3.12 and migrating Great Expectations to 1.3 before upgrading. Maintenance releases have followed roughly every one to two weeks, so your team needs a regular testing and change process, not an annual project.
Staff time to operate the platform
Staff time is the cost most often underestimated. A self-hosted catalog needs people to run Kubernetes or bare metal hosts, manage the database and search tier, monitor ingestion, rotate credentials and handle backups. With Alation Cloud Service, much of that work moves to Alation, while customer-managed Alation keeps it with you. Estimate the operating roles from your own platform team capacity and confirm which of these tasks you already perform for other systems.
Support contracts and enterprise options
Support is where the two models differ most in contract shape. Alation sells support as part of its subscription, and its cloud-only features, such as the Alation Agent and AWS PrivateLink on Enterprise+ plans, are tied to plan tiers. For OpenMetadata, Collate offers commercial enterprise capabilities and premium support, while community support is free. Ask each vendor for a written list of what the quote includes, response commitments and which features require a higher tier.
How a move from Alation to OpenMetadata usually runs
The sequence moves Alation-dependent work into a self-hosted OpenMetadata instance in stages, keeps both catalogs aligned during cutover, and ends with a retirement decision that stewards have signed off on.
Inventory Alation dependencies and users
Catalog owners list every data source, schema and report Alation documents, every curated article, glossary term and custom field, and every integration that reads from Alation, such as Slack, Microsoft Teams, the Chrome Extension or API-based scripts. Mark which items depend on features only available in Alation Cloud Service, since those need a replacement plan rather than a copy. The step is done when each dependency has an owner, a target in OpenMetadata or an agreed alternative, and a named set of stewards who will validate it.
Stand up OpenMetadata in a test environment
The platform team deploys OpenMetadata in a non-production environment using the Kubernetes Helm charts or the bare metal path, with the database and search services sized to the documented minimums and then tested at production scale. Confirm the required versions of Java, the database and Elasticsearch or OpenSearch against the current deployment documentation before provisioning. The step is complete when a test instance starts cleanly, users can sign in through the chosen identity provider, and backup and restore have been rehearsed.
Re-ingest sources with OpenMetadata connectors
Engineers configure OpenMetadata connectors for each warehouse, BI tool and pipeline in the inventory, using service accounts with read-only scopes. They compare the ingested tables, columns and dashboards against what Alation shows for the same sources, and log every gap. Connector coverage should be confirmed against the connector list for each source, because not every Alation connector has an identical OpenMetadata equivalent. The step is done when each in-scope source has a reconciled inventory and a documented list of unresolved gaps.
Run Alation Sink during cutover
If Alation remains the system of record while stewards work in OpenMetadata, the OpenMetadata Alation Sink connector writes metadata from OpenMetadata into Alation so that users on either side see the same descriptions and ownership. Keep in mind that Alation Sink only writes into Alation and does not read from it, so it cannot move curated content in the other direction. The step is complete when a sample of changed assets shows matching descriptions and owners in both catalogs for an agreed period.
Extract articles, glossary and curation via APIs
Because the Alation import connector is a Collate feature rather than part of open-source OpenMetadata, teams usually script the move. They use Alation's token-authenticated REST APIs to export articles, glossary terms, policies, custom fields and curation decisions, then load them into OpenMetadata through its REST APIs or Python SDK. Each export should be checked against the Alation source objects it came from, and anything without a clean mapping is recorded for steward review. The step is done when extracted content has been loaded into the test instance and a steward has confirmed a representative set of entries.
Validate lineage and search with stewards
Stewards run a set of agreed discovery questions in OpenMetadata, covering known tables, business terms and lineage paths, and compare the results with the same queries in Alation. Engineers check table, column and pipeline lineage against the source systems, including the OpenLineage events the pipelines emit. Any mismatch in search ranking, lineage or ownership goes into a defect list with a named fix owner. The step is complete when stewards accept the results in writing and the defect list has no open items that block business use.
Cut over and retire Alation
The team sets a cutover date, freezes curation in Alation, runs a final incremental extract and load, and switches users, bookmarks and integrations to OpenMetadata. Alation is kept in read-only mode for a period agreed with the business, then the subscription or customer-managed installation is decommissioned after the final export is archived. Confirm the contract terms and data retention obligations with the Alation account team before the decommission step. The step is done when users have moved, the archived export is verified, and the retirement record is signed by the data owner.
Questions buyers ask before choosing or switching
What does it cost in effort to switch from Alation to OpenMetadata?
The switch cost is mostly staff and infrastructure time, not a license fee, because OpenMetadata is released under the Apache License 2.0. The main drivers are the number of sources you need to re-ingest, how much curated content (descriptions, glossary terms, ownership, certifications) you must carry over, and how many people use Alation daily. Infrastructure is recurring: OpenMetadata's bare metal documentation lists a minimum of 2 vCPUs, 4 GB RAM and 20 GB storage for the server, with the database and search services each needing at least 2 vCPUs, 2 GB RAM and 30 GB storage. Ask your team to estimate connector work and content extraction, and ask Alation for the terms of your current subscription so the comparison uses your real renewal date.
How long does an Alation to OpenMetadata migration take?
No timeline figure is supplied for this migration, so treat any duration as something to confirm in a written scope. The timeline is set by the number of source systems, the depth of connector configuration, how much glossary and stewardship history you need to move, and how long your teams need to validate search results and lineage side by side. Plan a parallel run where Alation stays live, using the Alation Sink connector to push metadata from OpenMetadata into Alation during cutover. Sequence the work by source priority so the most-used tables are validated first.
Can our team run this migration without outside help?
A team with platform engineering experience and Kubernetes or bare metal operations can plan and run the deployment internally, provided it has time for connector configuration, data validation and user acceptance. The deployment options are Helm charts on Amazon EKS, Azure AKS, Google GKE or on-premises Kubernetes, bare metal, or Docker Compose for evaluation only. Outside help is most useful for security hardening, backup design, upgrade planning and the content extraction work through Alation's APIs. DeployOpen plans, implements, integrates, hardens, backs up, upgrades and documents self-hosted platforms in your own infrastructure under a fixed-scope written agreement, and ongoing support is available as a retainer.
Can we replace Alation's cloud-only features with self-hosted tools?
Some of them, but not all, and you should confirm each one against the current OpenMetadata release. Alation's documentation lists features available only in Alation Cloud Service: the Alation Agent, Microsoft Teams and Slack integrations, the Chrome Extension, OAuth 2.0 API authentication and AWS PrivateLink connectivity on Enterprise+ plans. Chat notifications and browser access can often be handled through custom integrations, and OpenMetadata exposes REST APIs, a Python SDK and an MCP server for programmatic work. Private connectivity and OAuth-based API access need to be designed in your own network and identity stack. Map each cloud-only feature your users depend on before you commit.
How does coexistence with Alation work during the transition?
You can run both catalogs in parallel by using the OpenMetadata Alation Sink connector, which writes metadata from OpenMetadata into Alation so that users in either tool see consistent information. The sink only writes into Alation, so it does not extract Alation's curated content for you. Plan a one-way sync direction per dataset, decide which catalog is the source of truth for descriptions and ownership at each stage, and test the sync against a copy of your metadata before cutover. Reading Alation's content out is a separate task covered through Alation's token-authenticated REST APIs.
What does Collate add, and do we need it?
Collate is the company that maintains OpenMetadata and offers managed OpenMetadata, commercial support and AI features on top of the open-source project. You do not need Collate to run the Apache-2.0 OpenMetadata edition on your own infrastructure. Collate becomes relevant if you want vendor-backed support service levels, a managed service, or features that sit outside the open-source release. The Alation import connector that reads Alation content is a Collate feature rather than part of open source, so confirm whether it is needed for your content extraction plan. Ask Collate for the written scope, support terms and feature list before deciding.
What ongoing work does a self-hosted OpenMetadata deployment need?
The recurring work is version upgrades, connector maintenance, database and search operations, backups and access management. OpenMetadata 2.0 shipped breaking changes, including moving embedding credentials into an llmConfiguration block, a new Databricks auth format, rebuilding custom ingestion images for Python 3.12 and migrating Great Expectations to 1.3 before upgrading. Maintenance releases have followed about every one to two weeks, so schedule regular upgrade reviews and test them in a staging environment. Confirm your support model in writing, including who owns patching for Java, the database and Elasticsearch or OpenSearch.
When teams should keep Alation
Staying with Alation is the better choice when your organization depends on features that Alation documents as available only in Alation Cloud Service. Check the current list in Alation's documentation before you decide, because it includes the Alation Agent, the Microsoft Teams and Slack integrations, the Chrome Extension, OAuth 2.0 API authentication and AWS PrivateLink connectivity on Enterprise+ plans. If your stewards rely on the Chrome Extension or chat-based answers every day, a self-hosted OpenMetadata deployment will not give them the same experience, and that gap should be costed as a workflow change, not a footnote. Also confirm whether your Alation contract already covers the cloud service, since that changes the comparison.
Keeping Alation also makes sense when you want vendor-run upgrades and have limited platform engineering capacity. Alation Cloud Service is administered and upgraded by Alation, while OpenMetadata in production means your team operates Kubernetes or bare metal, the database and the search service, and plans each release. OpenMetadata's bare metal prerequisites (Java 21, MySQL or PostgreSQL, and Elasticsearch 9.x or OpenSearch 3.x) are a useful measure of the skills involved. Be realistic about who will own on-call work, backups and version upgrades. If no team can commit to that work, a managed or vendor-run option is the honest choice.
The strongest reason to stay is a trained steward community. Stewards who already curate descriptions, certify tables and manage glossary terms in Alation carry a cost that does not appear on an infrastructure bill. Before you commit, run a time-boxed proof of concept: ingest one production source into OpenMetadata, migrate a set of curated glossary terms and ownership, and have your stewards complete their normal tasks on it. Record which tasks take longer and which features they miss. Set a review date, such as the end of your next budget cycle, and make the go or no-go decision against those measured results rather than against the product brochure.
How DeployOpen helps evaluate, implement or migrate
DeployOpen is a Chainscore Labs company that plans, implements, hardens, documents and supports self-hosted open-source platforms inside your own infrastructure. For Alation vs OpenMetadata, we start with a written scope that fits your sources, licensing position and teams, then build and hand over a catalog you operate.
How we scope
- Inventory which Alation features your users rely on, including any cloud-only features in use
- Map your data sources to OpenMetadata connectors and flag sources that need custom work
- Agree deliverables, timelines and responsibilities in writing before any work starts
- Confirm hosting target, Kubernetes or bare metal, and the database and search services you need
How we build
- Deploy OpenMetadata in your cloud account, data center or air-gapped network
- Configure connectors, lineage ingestion, glossaries, classifications and domains for your teams
- Set up identity sign-in, access control and, where needed, a parallel run with Alation through the Alation Sink connector
- Test search relevance, lineage accuracy and API access before users see the catalog
How we hand over
- Document architecture, configuration, connector settings and the upgrade procedure for your staff
- Provide runbooks for backup, restore and upgrades, including breaking-change checks for each release
- Deliver security test results and the evidence your compliance team needs for assessments
- Train platform and stewardship owners on daily operation and content maintenance
How we support
- Offer ongoing support, upgrades and continuous testing as a retainer after handover
- Track new OpenMetadata releases and plan upgrades in a scheduled, tested change window
- Review connector health, search performance and capacity as your source estate grows
- Confirm with us in writing which support tier and response expectations apply to your environment
