Is Metabase a Power BI alternative for your team?
Most teams looking at Metabase have a Power BI Pro or Premium Per User renewal in front of them, a licensing change that alters the cost per viewer, or a residency rule that says reporting data must stay on servers the organization controls. Before comparing features, confirm what the renewal actually covers: how many people author content, how many only view it, and whether anyone depends on Microsoft 365 or Fabric features that would have to be rebuilt elsewhere. Power BI remains the better fit where the estate is already built on Microsoft 365 and Fabric, where the core logic lives in DAX measures and calculation groups, or where Power Query pipelines feed models that business users already maintain. Moving those assets is real work, and a team with a large DAX estate should price that rebuild before deciding anything.
Self-hosted Metabase tends to fit SQL-centric teams that answer most questions from a relational warehouse or application database, that have many viewers who need dashboards rather than model authoring, and that want the application database and query results kept on their own servers. Its Open Source edition is free to self-host with unlimited users and dashboards, so the cost question shifts to infrastructure, implementation and ongoing operations. Metabase models and metrics give teams a way to define official calculations, but they are built in the application rather than in a DAX model, so the logic has to be checked against what the business currently trusts.
The decision turns on two questions. First, must single sign-on and row-level permissions be enforced in the tool itself? Per the Metabase pricing page, SSO, row and column level permissions, and usage analytics are included only in the Pro and Enterprise plans, so if those controls are required, the paid tier must be priced into the comparison alongside the Open Source edition. Second, how many users need authoring rights, since that group drives both the licensing exposure on the Power BI side and the workload on the Metabase side. Ask Metabase for current plan terms in writing and map each reporting role to a concrete permission model before committing.
Which scenarios favor Power BI and which favor Metabase
This table matches common Power BI situations to the platform that usually fits better, and names the condition that would change the answer. Read each row against your own identity provider, semantic model estate, viewer count and hosting rules. The main takeaway is that Metabase's free edition covers many viewer-heavy and self-hosted cases, but SSO and row-level permissions usually require a paid Metabase plan.
| Scenario | Better fit and why | Condition that changes the answer |
|---|---|---|
| Microsoft 365 and Entra ID-centric organization | Power BI, because sign-in, sharing, Teams and workspace governance already run on Microsoft identity and licensing | Metabase becomes viable if the organization wants to move off Microsoft licensing or run BI apart from the Microsoft stack; confirm Entra ID setup on the Metabase plan you choose |
| Existing DAX semantic models and measures | Power BI, because DAX measures and models would otherwise be rewritten as SQL or Metabase metrics | Metabase suits teams that accept rebuilding key measures as metrics tied to one data source; inventory DAX logic before deciding |
| Large numbers of read-only viewers | Metabase Open Source, because the free edition is self-hosted with unlimited users and dashboards | Viewer access needing SSO or row-level permissions requires Metabase Pro or Enterprise; compare that cost with per-user Power BI or capacity licensing |
| Row-level security for many internal audiences | Power BI, where row-level security is defined in the semantic model | Metabase row and column level permissions are a Pro or Enterprise feature, so confirm the plan before relying on them |
| Air-gapped or strict data residency | Metabase, which runs as a self-hosted JAR or Docker image inside your own network and can connect to any supported database | Air-gapped deployment is only offered on the Metabase Enterprise plan; confirm with Metabase whether your network rules need it |
| Mixed database estate with non-Microsoft sources | Metabase, because it connects to many databases and runs independently of the Microsoft stack | Power BI remains stronger if most sources are Microsoft platforms and Fabric is already in use |
| Embedded analytics for customers | Depends on the embedding model; Metabase embedding options are plan-specific and must be checked against tenant isolation needs | Power BI Embedded fits teams already invested in Microsoft embedding; confirm whether guest or signed embedding is available on your Metabase plan |
Where your data and identity live on each side
Power BI and Metabase differ most in where the data, metadata and sign-in logic sit. Each card below names one of those decisions and the check to run before you commit to a side. The cards cover Microsoft-hosted and on-premises Power BI, self-hosted Metabase, the application database you operate, identity options by plan, and the evidence your own team must produce.
Power BI service residency
Power BI Pro and Premium Per User reports, datasets and workspace metadata live in the Power BI service, which Microsoft hosts. Your residency position depends on the tenant region, any capacity settings and where your source databases sit. Confirm with Microsoft which regions and data residency commitments apply to your tenant and capacity before you map data flows. Remember that .pbix downloads are limited for some model types, so a copy of the model may not be a full copy of the data.
Power BI Report Server on premises
Power BI Report Server is the on-premises option. Microsoft documents that it needs a product key from Power BI Premium, Fabric F64 or larger capacity, or SQL Server, and that P SKUs include a license to install it. Your hosting, patching and backup duties then sit with your team. Check which licensing path applies to your SQL Server edition and software assurance status before you assume on-premises means lower licensing exposure.
Metabase in your own infrastructure
The Metabase Open Source edition is self-hosted with unlimited users and dashboards, and it runs as a JAR or Docker image in your own cloud account or data center. Queries go from Metabase to your databases, and the data itself stays where your databases are. Air-gapped deployment is listed only for the Enterprise plan, so a fully disconnected network requires that plan. Confirm the exact air-gapped terms with Metabase before you design the network.
The application database you run
Metabase stores questions, dashboards, users and permissions in an application database. It ships with an embedded H2 database for demos and recommends PostgreSQL for production, with MySQL and MariaDB also supported. This database now holds your access metadata, so it needs its own backup, encryption and restore testing. Plan the move off H2 early, since the documented load-from-h2 step must run with the same Metabase version that last wrote the H2 file.
Identity integration by plan
Open Source and Starter support Google sign-in and LDAP. JWT, OIDC, SAML with documented setups for Auth0, Entra ID, Google, Keycloak and Okta, advanced LDAP group sync and SCIM provisioning need Pro or Enterprise. Power BI relies on Microsoft Entra ID by default. List which identity provider, group model and deprovisioning process you need, then match each to a Metabase plan before you plan the cutover.
Compliance evidence you produce
Moving from a Microsoft-operated service to a self-hosted stack moves control evidence to your team. You will need records of access reviews, change and upgrade history, backup restores, encryption settings and log retention for the application database and servers. Neither product gives you an audit report for your environment. Ask your independent auditor which controls they will test, and confirm which evidence Power BI or Metabase already produces so you know what you must generate yourself.
How Power BI and Metabase compare on core capabilities
This table compares how Power BI and Metabase handle modeling, sources, authoring, sharing, identity, permissions, auditing and deployment. Read each row as a question to put to both products in your own environment, because several Metabase controls depend on the plan you buy. The main takeaway is that Metabase's free edition covers self-hosted dashboards well, while SSO, row-level permissions and auditing sit on paid tiers.
| Capability | Power BI | Metabase |
|---|---|---|
| Semantic modeling | DAX measures and semantic models built in Power BI Desktop and published to the service | Models curate tables or SQL and query builder questions, and metrics hold reusable official formulas tied to one data source |
| Metric scope | DAX measures are reusable across reports in the same semantic model | Metrics work in any query builder question on their data source but cannot be used in SQL questions |
| Governance on metrics | Confirm certification and endorsement options for your Power BI license tier | Marking metrics as verified and caching individual metrics need Pro or Enterprise |
| Data source coverage | Broad connector set through Power Query, with Microsoft services as the strongest path | Connects to many databases; confirm the exact driver list for your database before committing |
| Authoring environment | Power BI Desktop, which runs on Windows only | Browser-based authoring for questions, models and dashboards on any operating system |
| Sharing and embedding | Sharing through the Power BI service and embedding through paid capacity or Embedded offerings | Embedding options vary by plan; confirm which embedding modes your plan includes |
| SSO and SCIM | Microsoft Entra ID sign-in is the native path within a Microsoft 365 tenant | Google sign-in and LDAP on Open Source; SAML, JWT, OIDC and SCIM need Pro or Enterprise |
| Row and column permissions | Row-level security defined in the semantic model | Row and column level permissions need Pro or Enterprise, not the free edition |
| Auditing and deployment | Hosted in Microsoft cloud, with on-premises option through Report Server; confirm audit log access by tier | Self-hosted JAR or Docker with usage analytics and auditing on Pro and Enterprise |
Which Metabase features need a paid plan
The first thing to settle is which code you are running. Metabase is open core: code outside its enterprise directory is licensed under the AGPL-3.0, while code inside that directory falls under the Metabase Commercial License. The repository reflects this split, and the open source Docker image (metabase/metabase) is separate from the enterprise image (metabase-enterprise). A deployment built on one image cannot assume it has the features of the other, so the image name in your deployment manifest is a compliance fact, not a packaging detail. Ask Metabase to confirm in writing which image and terms apply to each tier you intend to use, because the license texts and plan definitions are the controlling sources, and they can change between releases. Check the Metabase pricing page and the repository license files before you decide.
Plan boundaries matter most for access control. According to Metabase's pricing page, SSO, row and column level permissions, multi-tenant data segregation and usage analytics and auditing are available only on Pro and Enterprise, not on Open Source or Starter. If your Power BI estate relies on row-level security roles or Entra ID sign-in, those requirements map directly to paid features. Google sign-in and LDAP are available on Open Source and Starter, and the people and groups documentation places JWT, OIDC, SAML and SCIM provisioning on Pro or Enterprise. Inventory your current RLS roles, sign-in method and provisioning process, then match each one to a plan before you size the budget.
Treat this as a written confirmation task, not a reading exercise. Ask Metabase for the current plan matrix, the edition terms that apply to your deployment model, and whether any feature in your inventory is limited to Enterprise. Ask your own security and legal reviewers whether the AGPL obligations on modified code fit your internal use. Plan for the recurring cost of paid tiers, which are priced per year or per month with user allowances, and note that the Enterprise plan is priced by quote. Because edition terms and plan features can shift, record the date and version of the terms you relied on, and re-check them before each renewal or major upgrade.
What drives cost on each side as user counts grow
Power BI cost is driven mainly by licensing, and the licensing model changes the curve. Per-user licenses such as Pro and Premium Per User scale with headcount, while Premium capacity and Fabric capacity are sized for the workload and the number of consumers it serves. Microsoft's documentation maps Power BI Premium P SKUs (P1 to P5) to Fabric capacities F64 to F1024 and states that P SKUs include a license to install Power BI Report Server on-premises. Report Server also needs a product key from Premium, an F64 or larger capacity, or SQL Server. Starting with SQL Server 2025 it is bundled with paid Enterprise and Standard licenses, while SQL Server 2022 and earlier require Enterprise Edition with Software Assurance or a subscription.
- Per-user licenses: Pro and Premium Per User charges recur for each named user. Confirm current rates with Microsoft or your reseller, because they change.
- Capacity licenses: Premium or Fabric capacity is a recurring commitment sized for workload, not a per-seat fee. Ask how much headroom you need before refresh schedules and concurrent viewers grow.
- Report Server: if you keep on-premises reporting, the key comes from Premium, Fabric or SQL Server licensing, so SQL Server edition and Software Assurance become part of the bill.
- Infrastructure and staff: on-premises Report Server still needs servers, a SQL Server database, patching and administrators, which are costs you carry alongside the license.
- One-time work: migrating reports, rebuilding measures and changing sign-in are project costs that do not recur.
Before comparing, ask Microsoft or your licensing partner for the full recurring cost at your current and projected user counts, including every SQL Server and Software Assurance line item.
Metabase Open Source is free to self-host with unlimited users and dashboards, so the cost of running it is the infrastructure, the people who operate it and the plan features you need. Paid plans add cost only when you need what they include: the Metabase pricing page lists Starter at $100 per month or $90 per month billed yearly with 5 users included, and Pro at $575 per month or $517.50 per month billed yearly with 10 users included. Additional users cost $6 per month on Starter and $12 per month on Pro. Enterprise is priced by quote starting at $20,000 per year. SSO and row and column level permissions are included only in Pro and Enterprise.
- Application database: Metabase ships with an embedded H2 database for demos and recommends PostgreSQL for production, so a managed or self-run PostgreSQL instance recurs as a cost.
- Hosting: the backend runs as a JAR, so compute, storage, backups and monitoring are your costs, and they grow with query load more than with seat count.
- Upgrades and support: upgrades run database migrations automatically, and the docs recommend backing up first. LTS releases are supported for 14 months, so plan a recurring upgrade cycle.
- Identity integration: Google sign-in and LDAP are available on Open Source and Starter, while SAML, OIDC and SCIM need Pro or Enterprise.
- One-time work: moving from H2 with the load-from-h2 command, and rebuilding dashboards, are project costs.
Illustrative only: at 25 users, Pro would be $575 plus 15 extra users at $12, or $755 per month before infrastructure and staff, while Starter would be $100 plus 20 extra users at $6, or $220 per month.
Quotes are hard to compare when vendors price different units, so ask every party for the same scenario. Define your user counts today and at two or three future points, the number of concurrent viewers, the data sources and query volume, the identity features you need and the number of years you want to model. Ask each provider to state which cost lines are included and which are excluded, and whether the price is fixed for the term or subject to change.
- Recurring costs: request the annual total for licenses, capacity, support, infrastructure and any SQL Server or Software Assurance terms, separated by line.
- Feature gating: for Metabase, ask which plan provides the SSO, row-level permissions and deployment model you require, and confirm that Enterprise air-gapped deployment is needed before pricing it.
- Enterprise quote terms: for Metabase Enterprise, ask for the written quote, which starts at $20,000 per year, and what support, term and renewal conditions it includes.
- Migration and build effort: ask for a fixed-scope written plan covering export, rebuild, testing, identity changes and training, with named deliverables.
- Operations: ask who patches, backs up and upgrades the platform after go-live, and what that costs per year.
DeployOpen does not publish a price list. A quote follows from a written scope, so define the scenario in writing before asking for pricing.
What a move from Power BI to Metabase involves
The sequence moves report consumers, business logic and sign-in from Power BI to a self-hosted Metabase instance in stages, so each stage can be checked before the next one starts. It ends with a cutover that leaves the Power BI estate in read-only use for a defined period, with the choice of Metabase plan settled before access rules are built.
Inventory reports, semantic models and users
Start by listing every Power BI workspace, report, semantic model, dataflow and dataset that people use, with its owner, refresh schedule, data source and the audience that opens it. Pull the user and group assignments from the workspaces and note which people hold Contributor rights, because those rights control who can download files. Ask the business owners which figures are used in decisions, since those become the first candidates for rebuilding. The output is a signed-off inventory that ranks each item by usage and by business criticality, and that records which data sources must be reachable from the new host.
Export report definitions and downloadable files
Download the .pbix files that Power BI allows for each report and semantic model, using the Contributor role. Check each download against Microsoft's limits: Direct Lake models, models with incremental refresh and data models larger than 50 GB cannot be downloaded with their data, so those need a separate route to the source tables. Keep a copy of every file in version control or in a controlled archive, and record the DAX measures, calculated columns and relationships that you can read from the model. The export is complete when every inventoried item has either a .pbix file, a documented definition or a named extraction plan. How much work this takes depends on the complexity of each semantic model, so reports with many chained measures and custom relationships usually need more review time than simple tabular models.
Rebuild DAX logic as SQL, models and metrics
Translate each measure into a form that Metabase can run against the source database. Simple aggregations can become questions built with the query builder. Shared business definitions can become Metabase models, which curate tables from the same database, or Metabase metrics, which are reusable formulas tied to one data source and usable in query builder questions but not in SQL questions. Measures that rely on context transition, time intelligence or cross-source joins may need SQL questions or upstream views in the warehouse, and those should be reviewed with the finance or operations owner who signed off the original number. The step is complete when each rebuilt figure matches the Power BI output for an agreed sample period and the differences are documented.
Set up the application database and Metabase version
Install Metabase from the open source image or JAR and point its application database at PostgreSQL for production, rather than the embedded H2 database that is intended for demos. Confirm the version you install against the Metabase version support page, choosing an LTS release where long-term support matters to your change calendar. If you ever move from H2, Metabase documents a load-from-h2 command that must be run with the same Metabase version that last updated the H2 file. Schedule backups of the application database before every upgrade, and plan upgrades one release at a time, because migrations run automatically on start. The output is a documented install with a tested backup and restore of the application database.
Configure identity and permissions on the right plan
Decide which sign-in method and permission model you need before building access rules. Metabase Open Source and Starter support Google sign-in and LDAP, while SSO through JWT, OIDC or SAML, LDAP group and attribute sync, SCIM provisioning, and row and column level permissions require Pro or Enterprise. Ask Metabase for the current plan prices and seat terms in writing, since the pricing page lists per-user add-on fees that grow with headcount. Map each Power BI row-level security role to a Metabase permission group and test it with one account per role. The step is complete when a test user in each group sees only the rows and columns they should, and when the plan decision and its cost are recorded for the budget owner.
Run both platforms in parallel
Keep Power BI and Metabase running side by side for a period agreed with the business owners. During that time, compare the figures from each rebuilt question with the original Power BI visual for the same filters, refresh times and user groups, and log every mismatch with its cause. Watch query load on the source database, because Metabase issues queries directly and may run them differently from the Power BI refresh schedule. Confirm that alerts, scheduled emails and embedded dashboards behave as expected for real users. The output is a discrepancy log in which each item is either fixed or accepted by its owner.
Cut over and retire the Power BI estate
Announce the cutover date, point consumers to the Metabase collections, and move ownership of each dashboard and question to a named internal owner. Switch Power BI workspaces to read-only or remove scheduled refreshes, while keeping the .pbix archive and the export evidence for records retention. Revisit the Power BI licence, Premium capacity or Report Server key with the finance team only after the archive is secure and the last report has been checked. The step is complete when no business-critical report depends on Power BI, the archive is verified, and the cutover decisions are recorded for the next review.
How embedding works on Power BI and Metabase
Embedding is where the two products diverge most in licensing, so settle the model before comparing features. On the Microsoft side, Power BI Embedded and capacity-based embedding let an application present Power BI content to its own customers, and the capacity behind it is sized in Premium or Fabric SKUs. Microsoft Learn states that P SKUs, P1 to P5, map to Fabric capacities F64 to F1024, so embedded volume and per-user needs can push the purchase to a different tier than internal reporting alone would require. Ask Microsoft which embedding scenario applies to your product and how it is licensed, and confirm the current terms in writing, because capacity and per-user rules change over time.
On the Metabase side, the embedding introduction describes how dashboards and questions are placed inside another application, and what you can use depends on the plan. The pricing page places multi-tenant data segregation, row and column level permissions and SSO in the Pro and Enterprise plans, and it limits air-gapped deployment to Enterprise, so an embedded product serving separate customers should be priced against those controls before the design is locked. The Open Source edition is free to self-host with unlimited users and dashboards, which makes it a useful test bed, but it does not include the segregation controls a multi-tenant product usually needs. Confirm with Metabase which embedding methods each plan supports and whether your chosen method needs a paid license.
Whichever side you choose, your team owns tenant isolation. The vendor provides mechanisms, but you decide how each customer's identity maps to a filter, role or permission, and you must prove that one tenant cannot read another tenant's rows. On Power BI, that means designing row-level security roles in the semantic model and passing the correct identity into each embedded session. On Metabase, it means configuring row-level permissions and tenant segregation on a paid plan, then mapping the application's users to the correct groups or attributes. Before go-live, write cross-tenant test cases using accounts from two customers, run them against the production configuration, and keep the results as evidence. Plan this work into any migration, since embedded access rules must be rebuilt on the new side.
Questions buyers ask before moving from Power BI to Metabase
What drives the total cost of moving from Power BI to Metabase?
The total cost is driven by the components you pay for: the Metabase edition you choose, the servers and database that host Metabase and its application database, the migration of semantic logic and reports, the internal time your team spends, and ongoing support and upgrades. Power BI costs are per user or per capacity, so your user count and the capacity you buy move the comparison. On the Metabase side, the free Open Source edition has no license fee, while Starter and Pro add per-user charges above the included user count. Ask any quote to separate one-time migration work from recurring hosting, licensing, support and upgrade effort, and to state which Metabase plan it assumes and which user count it covers.
How long does a Power BI to Metabase migration usually take?
The duration depends on the number of reports, how much DAX logic must be rebuilt as SQL questions, Metabase models or metrics, the complexity of your data sources, and how many users need access on day one. Reports that rely on heavy calculated columns or many custom measures usually take the longest, because each measure must be redefined and checked against the source. No duration is set by a supplied fact, so ask for a timeline built from an inventory of your reports, data sources and access rules, and agree it in writing before work starts.
What does the internal team need to provide during a migration?
Your team needs to provide access to the Power BI workspaces, the underlying data sources and their owners, and people who can confirm which reports are used and which metric definitions are official. Someone who understands the DAX measures and the business meaning of each number is essential, because Metabase metrics and SQL questions must reproduce those calculations exactly. Your platform or infrastructure team also needs to provision the servers, the PostgreSQL or MySQL application database, networking and identity integration. Plan time for business owners to review results side by side with the existing Power BI reports before users switch over.
Can a team migrate from Power BI to Metabase without outside help?
A team with SQL skills, administration experience for a Java-based application and a clear inventory of reports can often do the work internally, especially for a small set of dashboards. Teams with many reports, complex DAX, multiple data sources or strict audit needs usually benefit from an implementation partner for planning, rebuilding metrics, hardening and documentation. DeployOpen plans, implements, integrates, hardens, backs up, upgrades and documents self-hosted open-source platforms inside your own infrastructure, and its engagements are fixed-scope with agreed deliverables in writing. Compare an internal plan and an external scope against the same report inventory before deciding.
Do SSO and row-level security require a paid Metabase plan?
Yes, according to Metabase's pricing page, SSO, row and column level permissions, and usage analytics and auditing are included only in the Pro and Enterprise plans, not in Open Source or Starter. Google sign-in and LDAP are available on Open Source and Starter, while JWT, OIDC, SAML and SCIM provisioning require Pro or Enterprise. If your Power BI deployment relies on Microsoft Entra ID sign-in or row-level security on shared datasets, plan for the Pro plan's cost in your comparison, or confirm with Metabase whether your requirements fit another tier. Verify these inclusions on the current pricing page before you commit to a budget.
What happens to existing Power BI reports, and can they be exported?
Power BI reports and semantic models are not converted automatically into Metabase. Microsoft allows download of .pbix files from the Power BI service by workspace Contributors, but Direct Lake models, models with incremental refresh and data models larger than 50 GB cannot be downloaded with their data. The .pbix file is useful for documenting measures, relationships and visuals, which you then rebuild as Metabase questions, dashboards, models and metrics. Confirm with your Microsoft administrator which workspaces and models fall into the blocked categories, because those need a different extraction approach, such as reading the source data and definitions directly.
How are Metabase upgrades handled, and what should we plan for?
Metabase runs application database migrations automatically during upgrades, so a backup of the application database should be taken before every upgrade. The docs recommend reducing a cluster to a single node for major upgrades because of a migration lock, and upgrading release by release when starting from versions older than 40. Metabase LTS versions are supported for 14 months, while non-LTS versions usually reach end of life after 2 months. Plan an upgrade calendar around LTS releases, a staging test before production, and a named owner. DeployOpen offers upgrades and ongoing support as retainers, scoped in writing.
How DeployOpen helps evaluate and move from Power BI to Metabase
DeployOpen is a Chainscore Labs company that plans, implements, integrates, hardens, backs up, documents and supports self-hosted open-source platforms in your own cloud accounts, data centers or air-gapped networks. For Power BI vs Metabase, we start with a written scope that tests whether Metabase fits your data sources, sign-in requirements and permission model before anything is migrated.
How we scope
- Inventory which Power BI workspaces, semantic models and reports have active consumers and which are dormant.
- Confirm which data sources and database engines Metabase must query, including any that need a driver check.
- Map required sign-in methods and row-level permissions against Metabase plan features, so licensing decisions are made before build.
- Agree deliverables, timelines and acceptance criteria in writing, since most engagements are fixed-scope.
How we build
- Deploy Metabase on infrastructure you choose, with PostgreSQL as the application database for production.
- Rebuild priority DAX logic as Metabase models and metrics, and test results against the existing Power BI figures.
- Configure groups, permissions and SSO according to the agreed plan tier and the identity provider you run.
- Test embedding options and access rules against the requirements written in the scope.
How we hand over
- Document the deployment, configuration, metric definitions and the mapping from each retired Power BI report.
- Provide a written runbook covering backups of the application database and the upgrade procedure for each Metabase release.
- Run knowledge transfer sessions with your platform and analytics owners, and record the open items.
- Deliver the export and archive of Power BI content that your retention policy requires, as agreed in scope.
How we support
- Offer ongoing support, upgrades and continuous testing as a retainer after handover.
- Plan Metabase version upgrades around the published support windows, confirming current release dates with Metabase.
- Review access rules and permissions periodically as teams, data sources and plan requirements change.
- Provide a quote that follows from the written scope, with recurring retainer costs itemized separately from one-time build work.
