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Comparison guide

Luzmo vs Metabase for embedded analytics

Luzmo and Metabase both support embedded analytics. Luzmo is built for customer-facing analytics in data-intensive companies; Metabase is a broader open-source BI platform that also embeds.

Short answer

ChooseLuzmoif

  • Customer-facing analytics is the primary use case.
  • You prefer a managed platform over operating the stack.
  • You want a first-party Vue or Angular SDK.

ChooseMetabaseif

  • Open source is a non-negotiable requirement.
  • You need self-hosting or an air-gapped deploy.
  • Internal BI and customer analytics should share one platform.

4.6/5 on G2(opens in new tab) and Capterra(opens in new tab)

At a glance

Six buyer-level splits. Scan Luzmo against Metabase in about thirty seconds.

Both platforms can embed dashboards for customers. The six modules below are the buyer-level splits.

What Luzmo and Metabase are

This is not a comparison between “embedded analytics” and “internal BI.” Both products support embedded analytics. The comparison is about product focus, deployment model, external-user identity, development workflow, and commercial fit.

Luzmo and Metabase both support embedded analytics. Luzmo is purpose-built for customer-facing analytics in data-intensive companies, with managed delivery, adoption-based pricing, and first-party SDKs for React, Vue, and Angular. Metabase is a broader, open-source BI platform with embedded analytics, self-hosting, and strong analyst workflows. The best choice depends primarily on whether embedded analytics or broader BI is your main job.

Luzmo
A managed embedded analytics platform for software companies that want to deliver dashboards, self-service exploration, and AI insights to their customers.

Last verified:Sources: Luzmo embedded analytics (opens in new tab), Luzmo developer documentation (opens in new tab).

Metabase
An open-source business intelligence platform for internal analytics, with paid embedding capabilities for customer-facing use cases.

Last verified:Sources: Metabase (opens in new tab), Metabase embedding documentation (opens in new tab).

Key differences in one minute

Five documented differences. Each block is a fact, then why it matters for a buyer, then the source.

  1. 1. Product focus

    Luzmo is primarily focused on customer-facing embedded analytics. Metabase combines internal BI and embedded analytics in one platform.

    Why it matters: Product teams that treat analytics as a product feature may prefer a platform optimized around embedding, tenant personalization, branding, and external users. Teams that want one environment for analysts and customers may prefer Metabase.

  2. 2. Hosting and infrastructure

    Luzmo is managed by default. Metabase offers cloud, self-hosting, OSS, and air-gapped deployment options depending on plan.

    Why it matters: Metabase is the stronger fit when infrastructure ownership, offline environments, or open-source requirements are mandatory.

  3. 3. External user model

    Luzmo uses short-lived embed authorization tied to the host application. Metabase authenticated embeds typically map the end user to a Metabase user and apply groups, attributes, and permissions.

    Why it matters: This difference affects implementation design, governance, administration, and potentially commercial economics.

  4. 4. Framework support

    Luzmo offers first-party SDKs for React, Vue, and Angular. The Metabase Modular Embedding SDK is React-based, while web components can be used outside React.

    Why it matters: Front-end stack fit can materially affect implementation effort and maintainability.

  5. 5. Embedded AI context

    Luzmo IQ is aware of the active dashboard, filters, and chart context. Metabase documents embedded Metabot as handling ad-hoc questions and metrics, and states that it does not know about dashboards in embedded mode.

    Why it matters: If a customer asks a question while looking at a filtered dashboard, the answer quality depends on whether the assistant can see that dashboard, those filters, and the chart in view.

Feature comparison

Documented capabilities, not product quality. Partial means the capability is supported under a plan, embedding mode, framework, or other documented constraint, not that it is inferior. Read the scope chip before treating a cell as a universal yes.

Showing 4 AI capabilities.

Detailed feature comparison of Luzmo and Metabase.
Feature LuzmoMetabase Conditions / scope
Embedded conversational AI

Yes

Luzmo IQ in the host application.

Yes

Embedded Metabot via the Modular Embedding SDK.

See cell notes

Dashboard-aware AI

Yes

IQ uses the current dashboard, filters, and chart context.

No

Metabase docs state embedded Metabot does not know about dashboards.

Implementation

Scope is embedded AI, not all AI capabilities

MCP server

Yes

Luzmo MCP is available.

Yes

Metabase documents an MCP server.

See cell notes

Bring your own LLM provider

Partial

Not established from public sources reviewed in Aug 2026.

Yes

Customer API keys and third-party model support.

See cell notes

How customer identity works

Luzmo treats the host product as the identity system. Metabase authenticated embeds make each customer a Metabase user. That is a product choice, not a defect. It is also the commercial model: on standard Pro pricing every one of those customers is a billable user. Enterprise can be negotiated differently.

This is the difference that explains security, tenant administration, and often the commercial model. It is more useful than a row of Yes/No cells.

Luzmo

  1. 1 Your customer signs into your product.

  2. 2 Your backend issues a short-lived Luzmo embed authorization.

  3. 3 The embed loads dashboards, Flex, the editor, or IQ with that token.

Metabase authenticated embed

  1. 1 Your customer signs into your product.

  2. 2 SSO maps them to an individual Metabase user.

  3. 3 Groups and user attributes apply RLS, CLS, collections, and query permissions.

  4. 4 Embedded Metabase components render inside that user context.

When Luzmo is a better fit, and when Metabase is a better fit

Neither platform is universally stronger. The fit depends on whether embedded analytics or broader BI is the main job.

When Luzmo is a better fit

  • Embedded analytics is the core category

    Luzmo fits when customer analytics is the product problem, not one use case inside a broader BI environment.

  • Multi-framework SDKs

    Luzmo documents first-party React, Vue, and Angular SDKs. The deepest Metabase Modular Embedding SDK is React-specific. Web components still work outside React.

  • Conversational AI with dashboard context

    Luzmo IQ is designed to answer from the dashboard, filters, and chart the user is looking at. Metabase currently describes embedded Metabot as focused on ad-hoc questions and metrics, without that dashboard context.

  • External-user commercial model

    The standard Luzmo model follows active customer usage. On standard Metabase Pro pricing, authenticated embed users count as Metabase users. Metabase Enterprise can offer a different commercial model, so do not treat Pro seats as universal. Headline prices are not TCO.

  • White-labeling on the entry embed plan

    Luzmo Embedded Everywhere includes white-labeling, custom themes, custom charts, and SDK access. Metabase reserves advanced branded authenticated embedding for Pro and Enterprise.

Already embedding Metabase? See what migration actually involves.

When Metabase is a better fit

  • Open source

    Metabase is the stronger choice if an open-source foundation is non-negotiable. Luzmo does not offer an equivalent OSS product.

  • Self-hosting and air gap

    Metabase provides a clearer path for teams that need infrastructure ownership or a fully offline analytics environment.

  • Lower software entry point for simple embeds

    OSS is free. Starter is inexpensive. Guest embedding works across plans. Do not compare Metabase Starter to Luzmo Embedded Everywhere as equivalent customer-facing products. They are not.

    Our read: The Metabase pricing page states that users of your embeds accessed through your product count as users. At standard Pro rates that is roughly $17,900 a year at 100 authenticated end users and roughly $69,900 at 500, before any Enterprise negotiation. The entry point is lower. The external-user curve is not.

  • Internal and external BI on one platform

    Metabase can serve analysts, operators, and external customers in one system. That can reduce tool sprawl.

  • SQL, transforms, and Git promotion

    Native SQL, Data Studio, transforms, and YAML serialization into Git are real Metabase strengths. Luzmo is not an analytics-engineering workbench.

  • AI provider choice and governance

    Metabase documents customer-owned model keys, token controls, and tenant AI limits. That matters for formal AI governance.

Decision guide

Match the job to the platform. Several scenarios are a Metabase fit on purpose.

  • Customer-facing analytics is the main problem

    You are a product team. You do not need a second internal BI environment. Start with Luzmo. The platform, packaging, and user model are centered on embedded product analytics.

    Better fit: Luzmo

  • You need an open-source option you can run yourself

    Metabase is the clear shortlist candidate. Luzmo does not offer an equivalent OSS product.

    Better fit: Metabase

  • Thousands of customers need authenticated self-service

    Do not decide from headline prices. Model Metabase named users against Luzmo usage (AI conversations and Warp, or monthly active users on some contracts), then ask Enterprise for custom embed economics where the population is large.

    Better fit: Both. Run the same job in each.

  • Embedded AI must understand the dashboard and filters

    Luzmo currently has the clearer documented fit. IQ is aware of the active dashboard, filters, and chart context. Embedded Metabot is not, in embedded mode.

    Better fit: Luzmo

  • You are building in Vue or Angular

    Start with Luzmo if you want the deepest supported component SDK. The full Metabase Modular Embedding SDK is React-specific.

    Better fit: Luzmo

  • The environment must be disconnected from the public internet

    Metabase Enterprise deserves closer consideration. It explicitly offers air-gapped deployment.

    Better fit: Metabase

Pricing snapshot

There is no universal cheaper answer. Metabase has a much lower software entry point. Luzmo starts from one published plan and prices a platform fee plus usage.

Luzmo

One plan, Embedded Everywhere, from €1,995 / $2,495 per month billed annually. The bill is a platform fee plus AI and Warp usage. Some contracts scale on monthly active users instead. White-labeling, self-service, and governed AI are included. Warp adds data capacity. Enterprise changes deployment, not the product.

Metabase

OSS is free. Starter is about $90 / month equivalent annually plus per-user charges after five users. Pro is about $517.50 / month equivalent annually plus $130 / user / year after ten included users. Authenticated embedding, RLS, white-labeling, and embedded AI sit on Pro. Enterprise starts from published annual minimums and can customize embed economics. Worked at published Pro rates, 100 authenticated end users is roughly $17,900 a year and 500 is roughly $69,900, because the Metabase pricing page counts users of your embeds accessed through your product as users.

Headline prices are not TCO. Model the expected external user population against Luzmo usage and Metabase named-user licensing, then request Enterprise pricing where appropriate.

Confirm current Luzmo list prices

Customer evidence

Customer-reported experience only. Not a source for product capabilities.

Lansweeper
"With Luzmo, we skipped three years of development time and immediately jumped to a full-blown solution."
Maarten Saeys, CPO, Lansweeper

Migrating embedded analytics from Metabase to Luzmo

You may not need to replace Metabase internally to move customer-facing analytics to Luzmo.

Treat this as a scoping exercise, not a rip-and-replace of the whole stack. Separate what customers use from what internal teams rely on, then estimate the work.

  1. Recreate dashboards. Definitions do not port.
  2. Remap questions, models, and metrics onto Luzmo datasets and the semantic layer.
  3. Rebuild custom visualizations. React plugins will not become Luzmo charts or Flex components on their own.
  4. Redesign embed authorization. SSO and embedded Metabase accounts need a Luzmo token design.
  5. Translate security. Groups, attributes, RLS, and CLS map onto Luzmo tenant and resource authorization.
  6. Decide the internal BI question before retiring self-hosted Metabase servers.

Already embedding Metabase? Recreate dashboards, remap queries and security, rebuild custom visualizations, and redesign embed authorization around host-app tokens. Custom React plugins and Git-serialized Metabase content are not assumed to be portable. Scope that work before you estimate.

Frequently asked questions

Short answers on embedding, pricing, identity, and when Metabase is the better fit.

  • Is Metabase good for embedded analytics?

    Yes. Metabase supports embedded analytics through guest embedding, interactive embedding, and authenticated modular embedding. It is especially relevant for teams that also want internal BI, self-hosting, or an open-source foundation. Luzmo may be a closer fit when customer-facing embedded analytics is the primary product use case. See Metabase embedding documentation. Last verified: 20 August 2026.

  • What is the difference between Luzmo and Metabase?

    Both Luzmo and Metabase can embed analytics in customer-facing products. The main difference is product orientation: Luzmo is built primarily for embedded analytics in data-intensive companies, while Metabase is a broader BI platform that also offers embedding. That affects hosting, identity, SDKs, and commercial packaging. See Luzmo embedded analytics and Metabase embedding documentation. Last verified: 20 August 2026.

  • Is Luzmo or Metabase better for customer-facing analytics?

    It depends. Choose Luzmo when customer-facing analytics is a core product capability and you want a managed, purpose-built embedding platform. Choose Metabase when open source, self-hosting, air-gapped deployment, or a shared internal-and-external BI platform are decisive requirements. Neither product is universally better. Last verified: 20 August 2026.

  • Does Metabase support white-label embedded analytics?

    Yes. Metabase documents appearance and branding controls on Pro and Enterprise, including custom colors, fonts, and related white-label options. Plan-specific capabilities apply, so do not treat this as a Starter or OSS feature. Luzmo includes white-labeling on its entry embedded plan. See Metabase appearance. Last verified: 20 August 2026.

  • Does Metabase support multi-tenant embedded analytics?

    Yes. Metabase Pro and Enterprise document multi-tenant data segregation using groups, permissions, and row- and column-level security. This is a paid capability, not a workaround. Luzmo uses tenant-scoped embed authorization in the host application. See Metabase permissions. Last verified: 20 August 2026.

  • Does Metabase support row-level security for embedded analytics?

    Yes. Metabase can filter data with row-level security via groups and user attributes, including customer or tenant identifiers. This applies on paid plans. Luzmo also documents tenant and user attributes on datasets. See Metabase permissions. Last verified: 20 August 2026.

  • Can Metabase be self-hosted?

    Yes. Metabase supports self-hosting, including an open-source edition and paid plans. Enterprise also documents air-gapped installation. Luzmo is managed by default, with more flexible hosting on Enterprise. See Metabase pricing. Last verified: 20 August 2026.

  • Does Metabase support Vue or Angular embedding?

    Metabase supports embedding outside React through web components. Its Modular Embedding SDK is React-based, so Vue and Angular teams should validate the integration model against their application architecture. Luzmo documents first-party SDKs for React, Vue, and Angular. This comparison is about SDK support, not whether embedding is possible outside React. See Metabase Modular Embedding SDK. Last verified: 20 August 2026.

  • Do authenticated Metabase embed users count as users?

    It depends on the plan and embedding mode. On standard Metabase Pro pricing, users accessing authenticated embeds through a product typically count as Metabase users. Guest embedding does not work the same way. Metabase Enterprise can offer a different commercial model, so do not generalize Pro named-user billing to every offer. See Metabase pricing. Last verified: 20 August 2026.

  • Is Metabase open-source?

    Yes. Metabase offers an open-source edition alongside paid Cloud, Pro, and Enterprise plans. Luzmo is not an open-source product. Open source is a Metabase strength when a self-hosted or OSS foundation is mandatory. See Metabase pricing. Last verified: 20 August 2026.

  • Does Metabase offer dashboard-aware AI for embedded analytics?

    No, based on current embedded Metabot documentation. Metabase documents embedded Metabot as handling ad-hoc questions and metrics, and states that it does not know about dashboards in embedded mode. Luzmo IQ is documented as aware of the active dashboard, filters, and chart context. This comparison covers embedded AI context, not every AI feature. See Metabase AI docs. Last verified: 20 August 2026.

  • Is Luzmo open-source?

    No. Luzmo is a managed commercial platform. It does not publish an equivalent open-source edition. Teams that need OSS, self-hosting, or air-gapped deployment should evaluate Metabase on those requirements. See Luzmo embedded analytics. Last verified: 20 August 2026.

  • Can I use Metabase for internal BI and Luzmo for customer-facing analytics?

    Yes. That split is a common operating model. Metabase can remain the internal analyst environment while Luzmo delivers customer-facing dashboards, exploration, and AI in the product. Migration of embeds does not require replacing Metabase internally. See Luzmo embedded analytics. Last verified: 20 August 2026.

  • How do Luzmo and Metabase differ on pricing for external users?

    It depends on plan, user volume, and embedding mode. Luzmo publishes one Embedded Everywhere plan from €1,995 / $2,495 per month billed annually, plus AI and Warp usage. Some contracts scale on monthly active users instead. Standard Metabase Pro named-user pricing typically counts authenticated embed users. Metabase has a lower software entry point, including a free OSS edition, and Enterprise can customize embed economics. Headline prices are not TCO. See Luzmo pricing and Metabase pricing. Last verified: 8 September 2026.

  • Can teams migrate customer-facing analytics from Metabase to Luzmo?

    Yes. Teams can move customer-facing analytics to Luzmo without automatically replacing Metabase for internal BI. Expect to recreate dashboards, remap queries and security rules, and redesign embed authorization. Custom React visualizations and Git-serialized Metabase content are not assumed to be portable. Last verified: 20 August 2026.

Appendix

How we research this comparison

Luzmo publishes this comparison and has a commercial interest in the outcome. We cite current first-party documentation, include cases where Metabase is the stronger fit, and update the page when products change.

Reviewed by: Jonathan Wuurman, VP of Growth, Luzmo

Fact-checked against first-party sources

Last full review:

Luzmo publishes this comparison and has a commercial interest in the outcome. We cite current first-party documentation, include cases where Metabase is the stronger fit, and update the page when products change.

We verified product functionality primarily against current Metabase documentation, pricing pages, and release notes. Where Metabase supports a capability, we say so even when an older Luzmo comparison described it differently.

When a capability depends on a paid plan, embedding mode, or framework, we include that limitation rather than converting it into a generic Yes or No. Performance, implementation speed, and user experience are not ranked from vendor marketing.

Facts are documented product capabilities. Implications are our interpretation of those facts. Recommendations are who should choose which product. We never present an implication as a product fact.

Suggest a correction

How we label claims

  • Fact : A product capability explicitly documented by the vendor, with a primary source and verification date.
  • Implication : Our interpretation of a documented fact for a buyer. It is not itself a product capability.
  • Recommendation : Who should choose which product, based on the documented facts above.

Source hierarchy

  1. Official technical documentation
  2. Official pricing pages
  3. Official release notes
  4. Vendor customer stories for customer-reported outcomes only

Major corrections

  • : Luzmo USD list price updated to $2,495 per month (EUR unchanged at €1,995). Luzmo usage copy aligned with the pricing page: AI and Warp usage, some contracts on monthly active users. Metabase facts unchanged. Not a full re-verification.
  • : Aligned Luzmo list copy with the published Embedded Everywhere offer (from €1,995 / $1,995 per month billed annually, plus usage). Metabase facts unchanged. Not a full re-verification.
  • : Spot-check of the two highest-risk claims against source: Metabase Pro named-user billing for embed users, and React-only modular SDK. Both hold. Added the published external-user cost curve and tightened three hedges. Not a full re-verification.
  • : Full fact-check against first-party embedding, pricing, AI, SDK, and security documentation.

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