4 Best Metabase Alternatives for Embedded Analytics in 2026

What is the best Metabase alternative? It depends on who the dashboards are for. If they're for your own staff, you're replacing an internal business intelligence (BI) tool. If they're for your customers inside your product, you need a customer-facing analytics platform built for per-tenant security, a native look and feel, and embedding in code.

Metabase is a capable BI tool, and for many teams it's the right one to keep. But if you're building embedded, customer-facing analytics into a product, you may already have hit some of its limits:

• Its full-app embedding uses an iframe, and every embed looks like Metabase unless you pay for white-labeling.
• UI control stops at Metabase's own components and chart types.
• SSO-based multi-tenant embedding needs the Pro or Enterprise plan.

This article splits the options by job. The four-tool shortlist covers customer-facing embedded analytics, compared on embed method, customization, pricing and fit. A separate section covers open-source and enterprise tools for internal BI. Embeddable is our product and appears on the first list, so we've stated the trade-offs for every tool, Metabase included.

Discover a developer-friendly toolkit that’s purpose built for creating remarkable customer-facing analytics in a fraction of the time. Learn more.

Metabase Embedded Analytics

Metabase is a business intelligence and data analytics platform that aims to remove the SQL barrier. Its visual query builder lets business users and non-technical users find answers to their questions without writing code. You can self-host the open-source edition or use Metabase Cloud.

Once set up, it's intuitive and user-friendly. Simple dashboards come together fast, but some reviewers note that more complex queries and custom calculations often call for SQL knowledge.

Metabase offers more than one way to embed (Metabase docs):

• Full-app embedding (formerly interactive embedding) puts the whole Metabase app inside an iframe, with querying and drill-downs, on the Pro and Enterprise plans.
• Modular embedding places individual dashboards, questions or the query builder in your app using web components or the React SDK. Guest embeds need no sign-in and work on every plan, though on Open Source and Starter they show a "Powered by Metabase" banner (Metabase docs). SSO embeds authenticate each user through single sign-on (SSO) and need Pro or Enterprise.
• Static and public embeds. Existing static embeds still work with the older iframe and JSON Web Token (JWT) setup, and public embeds are iframes too.

Where the free tier ends. Open Source is free. Starter is $100/month with 5 users (+$6 per extra user), and Pro is $575/month with 10 users (+$12 per extra user) (Metabase pricing). Pro adds SSO embeds with row- and column-level security for multi-tenant embedding, and white-labeling. Guest embeds can already show each tenant only its own data, through a locked parameter, on every edition (Metabase). On Pro, signed-in embed users count as users, while guest embed viewers don't (Metabase). Enterprise starts at $20,000/year, with user counts and pricing set per contract (Metabase).

Why you might look for an alternative to Metabase for embedded analytics

Teams usually look beyond Metabase for one of six reasons:

• They don’t want to embed using an iframe. Full-app embeds are easy to set up, but iframes load more slowly than native web components, make the app feel clunky, and must reload to pick up global settings like dark mode or language. Modular embedding avoids the iframe, but its components still look and behave like Metabase.

• They need more visualizations and design freedom. Metabase's UX and UI are opinionated. Dashboards look like Metabase, not your app, and chart editing is limited. "Customizing visuals is also somewhat limited — you don't get the same depth of control over chart formatting," says Gorav A., Catalog Management Executive and Metabase user (G2).

• They need multi-source data blending. Metabase connects to multiple data sources but can't join data across databases in a single query. To combine sources, you first need a data warehouse, which adds a layer to your data stack before you've embedded a single chart.

• They want a more performant tool. "Performance can sometimes slow down when working with very large datasets, complex SQL queries, or heavily filtered dashboards," says Bharat Singh B., Business Analyst and Metabase user. That matters in user-facing analytics, where customers expect data on load.

• They want a truly no-code tool. Basic dashboards need no SQL. Custom formulas or specific filters, however, usually pull in data engineers, which creates bottlenecks. Setup can also be harder than it looks, because plug-and-play connectors don't exist for every data source.

• They need more chart types. Some users want more of them: "The visualization and dashboards could be better. I think the type of charts available could be better," comments Nehul M., CEO and Metabase user (G2). Metabase now offers AI questions on every plan (Metabase), and on Pro and Enterprise its AI chat can be embedded in SSO-authenticated modular embeds or the React SDK (Metabase docs).

In short, staying on Metabase is the right call if your dashboards are mainly internal, your embeds are simple guest or static dashboards, or your signed-in viewer count is small enough for Pro pricing to work. It's also useful for beta testing: an affordable way to learn which metrics your users value before you invest in the final analytics experience.

4 best Metabase alternatives at a glance

If you're leaving Metabase for customer-facing embedded analytics, our shortlist covers BI tools with embedding, purpose-built embedded analytics platforms, and our own toolkit: Embeddable. We list Embeddable first because it's ours, so weigh our view accordingly. Internal-BI replacements come later. Pricing below comes from each vendor's own page as of 2026, except Sigma, which quotes prices through its sales team rather than listing them on its website.

1. Embeddable

Embeddable is a dedicated platform for building fast, interactive user-facing dashboards that feel native to your existing platform.

It's used primarily by tech companies, from startups to scale-ups and enterprises.

Embeddable comes with:

• A powerful no-code dashboard builder. Your customer-facing team can use the charts and data models you’ve defined to build and iterate upon your dashboards without writing a single line of code. Instead, they use an easy-to-use drag-and-drop report builder with point-and-click functionality to come up with experiences that meet user needs, and align with your brand.

• Next-gen embedding. Embeddable loads your analytics directly in your DOM via a web component that renders the chart components your own engineers built. There is no separate iframe document to load before the data can be requested from the data source. Metabase's modular embedding uses web components too, but they render Metabase's own dashboards and charts. Embeddable's web component also allows for bi-directional communication between the charts and your app, enabling you to seamlessly integrate your analytics into your app experience.

• Row-level security and performance, built-in: This handles row-level security, caching, performance, and interactions between components. Embeddable also integrates with most of the best databases for embedded analytics through a read-only connection that never writes to your database. Plus, you can customize the cache for better performance.

• Powerful self-serve functionality for end-users: the Custom Canvas feature enables you to create a “build-your-own-dashboard” experience for your customers using charts and components that match your design system to the pixel.

What users say about Embeddable

Users say Embeddable makes it straightforward to build their own user-facing analytics. All in a fraction of the time it would take them to build them from scratch.

“Embeddable is the first tool I’ve seen where it’s so straightforward and simple to work with the data and build charts, where it feels like the heavy lifting is done once I finish modeling my data. The ability to then use some simple JavaScript and React to build my own combination of charts (rather than navigating the jungle of combo charts in existing BI tools) is simply amazing.”— Adeola Morren, founder of iBenjamen Studio

“Easy to use, clearly-written docs, super friendly team.” - Bart Lammers, CTO at Eyk

"What really excited me about Embeddable was what comes after [embedding analytics]. We're talking about building filters, letting our users manage the charts themselves, and letting the team beyond just me make changes. That's where it starts to get really lucrative." — Nick Larson, Co-founder and CTO at AnyCreek.

Embeddable's headless architecture approach lets you bring data models together with fully bespoke charting components. Your engineers have full control over your visualizations in code, and your non-technical team has the full power of a modern, intuitive no-code builder in which to craft the end-user experience.

Embeddable pricing

Embeddable offers a fixed embedded analytics pricing model. This means you pay the same bill every month with no hidden costs or extra fees per user, viewer, or dashboard. A fixed rate makes Embeddable an attractive solution for businesses with a large or growing user base.

Embeddable vs Metabase Embedded Analytics

Embeddable and Metabase differ most in these areas:

• Purpose. Metabase is a BI tool first, with full-app embedding through an iframe and modular embedding through web components or a React SDK. Embeddable was purpose-built for customer-facing analytics. Tenant isolation comes from row-level security defined in your data models, and analytics load in your DOM by embedding as a web component.

• Control. Metabase's embedded components are limited to what Metabase lets you customize. With Embeddable, your engineers get code-level control of components built with any charting library. They style everything to your design system with theming and keep dashboards as code, while non-technical users still build dashboards without code.

• Metabase’s pricing counts signed-in embed users as users, at $12/user/month beyond the first 10 on Pro, while guest embeds don't count (Metabase). That's where cost compounds as your customer base grows. Embeddable's pricing is a fixed monthly rate with unlimited users and no per-viewer fees.

• A limited, Metabase-branded version is free if you self-host it, and white-labeling starts on Pro. Embeddable is fully white label, always.

• Embeddable feels fully native in your application, whereas Metabase keeps its own UI and UX when embedded.

Pro tip: Metabase is an affordable choice for internal and simple BI such as analyzing sales trends, social media performance, or headcount. However, if you want to share data with your users, allow them to interact with it, make custom calculations, and present dashboards that follow your brand guidelines, Metabase might not be for you. For fast-loading, fully bespoke, and secure user-facing analytics, Embeddable could be the better option.

2. Preset (built on Apache Superset)

Preset is built on top of Apache Superset, a popular open-source BI platform. As Superset’s fully-managed version, Preset gives you some of the benefits of open-source with the support of a SaaS solution (Preset).

Preset allows you to:

• Embed dashboards with an iframe using the Preset API
• Access a big chart and visualization library with multiple data visuals
• Use filtering and data exploration capabilities
• Set permissions for user and role-based access
• Query and explore data using the SQL Lab

However, as with many open-source-based tools, you'll likely need coding experience to fully customize Preset: styling a chart beyond its built-in options means writing a JSON theme or CSS (Preset docs). Your developers will need to set some time apart to make the most out of this tool.

What users say about Preset

Users like Preset's rich feature set and its open-source base. However, the learning curve is steep, especially at the start and for non-technical users.

“I like its rich feature set and that it is open-source in nature (Apache Superset). Unlike its competitors, it's quite challenging to use especially at the start. Some features, you can't really expect non-technical users to be able to intuitively utilize.” — Data analytics manager and Preset user.

Preset pricing

Preset comes at three different prices:

• Starter. Up to five users, unlimited dashboards and charts, free forever.
• Professional. $20/user/month (billed annually, $25/user/month billed monthly) for unlimited users and 3 workspaces, plus embedded add-on for $500/month for 50 viewers (Preset).
• Enterprise. Custom quote including SSO, dbt integration, managed private cloud, and embedded add-on with volume discounts.

Preset vs. Metabase Embedded Analytics

Here’s how they compare:

• Metabase is open source, with self-hosted and cloud options. Preset is a managed cloud service built on open-source Apache Superset. If you want the free open-source route, self-host Apache Superset and run it yourself.
• Preset and Metabase both expose styling in code: a Preset theme can override chart settings (Preset docs), while Metabase's Pro plan adds custom colors and fonts to embeds (Metabase).
• Metabase is easier to set up and use than Preset, although both have a learning curve for complex queries.
• Preset embeds dashboards through an iframe (Preset docs). Metabase uses an iframe for full-app embedding, and its modular embeds render web components or React components. Full-app embedding and the React SDK need Pro or Enterprise, so on Open Source and Starter, modular embeds are guest embeds rendered as web components (Metabase).
• Preset offers granular security settings, including role-based access control and row-level security.
• The cost comparison turns on viewer volume. Preset's embedded add-on is tiered by viewers, starting at $500/month for 50 on top of seats (Preset). Metabase bills signed-in embed users as users on Pro, and negotiates embedding pricing with Enterprise customers.

Pro tip: If you're comfortable with open-source tooling and want to shape your dashboards in code, Preset is worth a look. However, if you want an easy to setup and use app with basic reporting capabilities, then Metabase might be a better fit.

3. Holistics BI

Holistics is a developer-oriented BI and embedded analytics platform that positions itself for fast-growing SaaS companies. It stands out as a strong alternative to Metabase, and a more accessible one than solutions like Looker, for teams that want deeper modeling control and more flexible white-labeling options.

Key aspects of Holistics:

• Custom themes, styling, and CSS let product teams create dashboards that look more integrated into their app.
• Interactivity: users can drill down, view underlying data, filter, and explore insights intuitively.
• A governed semantic layer, with a dbt integration, that allows developers to define metrics once and reuse them everywhere to deliver consistent, accurate numbers across all customer instances.
• Git-native workflows, CI/CD, and testing environments give teams full version control and safe, reviewable deployments.
• Variables let teams parameterize widgets and dashboards, making components easy to reuse across tenants and modules.
• Ask AI: embedded users can explore data using natural language queries (NLQ) directly within the embedded portal, without needing SQL knowledge.

What users say about Holistics

Users appreciate Holistics for blending ease of use with developer-level control, enabling highly customizable embedded experiences without compromising maintainability.

• "We needed a BI platform that could handle drill-down analysis, offer a semantic layer for consistent metrics across different data sources, and give end-users more self-service capabilities. And so far, Holistics has checked all those boxes nicely." — Loh Y., Martech Manager, on G2.
• “We are content with the results because it gave us everything we had in our previous tool, but with significantly better performance, flexibility, and support.” — Noe Ocampo, Senior BI Engineer at Datacubed Health, via Holistics.

However, Holistics isn't without its limitations. The interface can feel less polished compared to newer BI tools, and there's a meaningful learning curve when setting up data models—something non-technical teams in particular should factor in. "There's a bit of a learning curve when it comes to setting up the data model," says a verified Holistics user on G2.

‍Holistics pricing

Holistics' plans start at $800/month for Entry and $1,000/month for Standard, billed yearly for the first 10 users (Holistics pricing). Embedded analytics is priced separately: its embedded capacity plans are flat annual tiers sized by end-user volume, from $3,000/month billed yearly for up to 5,000 embedded end-users, with no per-user fees (Holistics).

Holistics Embedded vs Metabase Embedded

This is how Holistics and Metabase compare:

• Holistics embeds through an iframe (Holistics docs).
• Holistics includes a full semantic layer with governed, reusable metrics; Metabase has more recently added a semantic Library for published tables and metrics (Metabase docs).
• Holistics emphasizes multi-tenant support, reusable components, and self-service exploration. Metabase separates tenants with a locked parameter on guest embeds, on every edition, or with SSO embeds and row- and column-level security on Pro and Enterprise (Metabase).
• Holistics supports Git, CI/CD, branching, and safe deployments; Metabase offers Git-based version control (Remote Sync) only on its Pro and Enterprise plans (Metabase docs).

4. Sigma

Sigma is a cloud-native analytics and business intelligence platform that connects directly to your data warehouse, offering a spreadsheet-like interface for exploring and visualizing live data. It's a strong alternative to Metabase for teams that need more powerful querying and self-service capabilities.

"It's very easy to integrate, whether you use iframes or the SDK, and you don't have to code everything from scratch—you can simply bring the power of Sigma into your application," says Ibrahim A., Analytics Engineer and Sigma user (G2).

Key aspects of Sigma:

• Connects directly to cloud data warehouses including Snowflake, Databricks, and BigQuery
• Embeds reports and dashboards into other apps via iframe, React SDK, or REST API (Sigma).
• Sigma is fully cloud-based and has a visualization library with multiple chart types
• Users say it’s easy to use from the get-go for building simple dashboards
• Supports RLS and SSO options for data protection

However, like many other BI tools, Sigma has an opinionated UI. You can only access a default menu of predefined charting options that you can’t edit much. This, and embedding through iframes, makes your dashboards look and feel foreign to the rest of your app.

What users say about Sigma

Users value Sigma’s ease of use and performance. However, they would like to be able to edit visualizations easily without having to look for workarounds.

• "I don't like the performance lags with complex workbooks and the limited visual customization." — Venkata M., Bench Sales Recruiter and Sigma user on G2, who adds that slow warehouses or heavy joins can cause loading spinners and that pixel-perfect chart styling is restricted.
• "I find the styling options somewhat limited." — Sigma user, G2.

Sigma pricing

Sigma doesn't publish pricing — you'll need to contact sales for a quote. Based on Vendr's data from 154 purchases, contracts range from $15,585 to $145,339/year with a median of $64,941 (Vendr, last updated February 2026). Vendr also reports that embedded analytics is only available in the Enterprise tier, and that organizations deploying it often see contract values starting around $100,000 (Vendr).

Sigma vs Metabase Embedded

Sigma and Metabase are both business intelligence platforms, but this is how they compare:

• Sigma embeds through an iframe (Sigma docs), and also offers a React SDK and REST API for more custom integrations (Sigma)
• Metabase is more affordable than Sigma due to its open-source option
• Sigma is cloud-based only while Metabase can be hosted on the cloud or on-premise
• Sigma is easier to use and makes it easier to process complex queries
• Both Metabase and Sigma embed their own UI components, so customization is bounded by each vendor's theming options and may not fully match your app's look and feel

Pro tip: If you want a cheaper solution, stick with Metabase. Vendr's lowest recorded Sigma contract is $15,585/year (Vendr, last updated February 2026), versus Metabase's $100/month entry point. However, Sigma's spreadsheet-style interface may suit teams that prefer that way of working, so it's worth considering if you have the budget.

Other Metabase alternatives: open-source and enterprise BI tools

If you're replacing Metabase for internal BI, where your own staff are the users, the shortlist changes. These tools are built mainly for internal self-service analytics. Most can embed, but their embedding options generally aren't designed to look like native product UI.

Self-hostable open-source BI:

• Apache Superset. The free, self-hosted engine behind Preset. Best for SQL-comfortable teams that want a large chart library. The trade-off is that you run and upgrade it yourself.
• Redash. Lightweight open-source SQL querying and dashboards. Best for analysts who live in SQL. The trade-off is that it's community-maintained since Databricks acquired it, so development is slower and there's no real visual query builder for non-technical users.
• Lightdash. Open-source BI layer built on top of dbt. Best for teams whose metrics already live in a dbt project. The trade-off is that it adds little if you don't use dbt.
• Evidence. Open-source BI as code, with reports written in SQL and Markdown (Evidence). Best for data engineers who want version-controlled reporting. The trade-off is that business users can't build reports without code.

Enterprise and Google-ecosystem BI:

• Tableau. Best for deep visual analysis across multiple data sources. The trade-off is cost and complexity.
• Power BI. Best for Microsoft-centric organizations. The trade-off is that authoring in Power BI Desktop is Windows-only.
• Looker. Google Cloud's BI platform, with the LookML semantic layer for governed metrics. The trade-off is that it needs dedicated analytics engineering resources.
• Looker Studio (formerly Google Data Studio). A free option for Google-ecosystem reporting. The trade-off is limited modeling and governance.

For customer-facing embedded analytics, the four-tool shortlist above remains the better starting point. The next question is whether to buy at all.

What about custom-built embedded analytics?

If you have the capacity to put together a team of developers, or you need a quick static dashboard, building custom user-facing analytics in-house can be a good option. It gives you total autonomy over the user experience, security, design and performance.

In fact, the best examples of user-facing analytics in the apps you use all stem from custom development. No BI tool offers the same customization and native feel. But we know how costly and time consuming it can be to develop analytics experiences from scratch.

The build vs buy dilemma is real—which is precisely why we built Embeddable: to ensure you don't compromise on user experience and native feel due to resource limitations.

With Embeddable, your engineers define data models and components in code, and Embeddable handles the backend infrastructure: security, performance, multi-tenancy and scale. You get fast-loading analytics and full control over the user experience at the price of a SaaS tool, so you build and buy at the same time. If you're weighing your options, the decision guide below matches each tool to the reason you're leaving Metabase.

Curious to learn more? Read the developer docs.

How to choose your embedded analytics solution

Start with the reason you're leaving Metabase, then match it to the tool:

• You want fully bespoke customer-facing embedded analytics but don't have the time or budget to start from square one: consider Embeddable. It's the only platform on this list that gives you code-level control of the user experience, using any charting library. Team members can still build dashboards without code in a point-and-click interface.
• You have developer capacity and want open source: Preset has a steep learning curve, but because it's built on Apache Superset, it allows more customization than traditional BI tools.
• You need a governed semantic layer and Git workflows: Holistics gives you centrally defined metrics, version control and multi-tenant embedding via iframe, with embedding priced separately from its BI plans.
• You'd be happy with Metabase but need custom formulas and complex queries: Sigma is similar to Metabase but performs better for complex analysis, typically at a higher price.
• Your users are your own staff: look at the open-source and enterprise BI tools in the previous section, since a customer-facing platform is more than you need.
• Your embeds are simple and viewer counts are small: stay on Metabase.

Take these questions into every vendor evaluation:

• Does it embed as an iframe, web components or an SDK?
• How is tenant isolation enforced?
• Do signed-in viewers cost extra?
• Can we use our own chart components and design system?
• Can dashboards live in version control?
• Can non-technical users self-serve?

Before developing Embeddable, we had hundreds of conversations with users of Trevor.io, the internal self-service BI tool our team built first. We understand the complexity of building analytics experiences from scratch and the frustration of working with tools that don't fit.

‍Embeddable aims to combine the customizability of custom-built analytics with the simplicity of a plug-and-play tool. Your components sit right in your DOM, at a fixed monthly price with unlimited users.

Frequently asked questions about Metabase Embedded Analytics alternatives

What are the top alternatives to Metabase for embedded analytics?

The shortlist is Embeddable (customer-facing analytics in code), Preset (managed Superset), Holistics (governed semantic layer) and Sigma (spreadsheet-style BI).

Is Metabase better than Tableau for embedded analytics?

Metabase is better than Tableau in terms of ease of use and pricing. However, Tableau offers a bigger visualization library and makes it easier to process highly complex queries. If your goal is user-facing analytics, there are other, even better Tableau alternatives available such as Embeddable, Power BI Embedded, or Luzmo.

Why would someone look for a Metabase alternative for embedded analytics?

On Open Source and Starter, Metabase's embeds keep Metabase's own look with a "Powered by Metabase" banner, and custom colors, fonts and white-labeling need Pro or Enterprise (Metabase). Teams often need more control over branding, user access, and multi-tenancy.

What makes Embeddable a strong Metabase alternative?

Embeddable offers full UI control, secure multi-tenant data isolation, and is purpose-built for embedding into SaaS products. It doesn’t require maintaining your own BI infrastructure.

Do Metabase alternatives support self-service analytics?

Some do, but many require developer input. Embeddable supports self-service dashboards while giving you full API and SDK access to customize the experience.

Is Apache Superset better than Metabase?

It depends on your team. Superset is free, self-hosted and has a large chart library, but you run and upgrade it yourself. Metabase is easier for non-technical users.

Can I self-host Metabase alternatives?

Yes. Apache Superset, Redash, Lightdash and Evidence are open source and self-hostable, while Preset, Holistics, Sigma and Embeddable are cloud-hosted platforms.

Is Holistics better than Metabase for embedded analytics?

For governed, multi-tenant embedding, often yes: it adds a semantic layer and Git workflows, and prices embedding separately from its BI plans.

References

• Metabase - Plans and pricing: https://www.metabase.com/pricing/compare-plans
• Metabase - Embedding introduction: https://github.com/metabase/metabase/blob/master/docs/embedding/introduction.md
• Holistics - Pricing: https://www.holistics.io/pricing/
• Woopra - Embedded Analytics: https://www.woopra.com/blog/embedded-analytics
• Holistics - Embedded Analytics for SaaS: A Practitioner Guide (2026): https://www.holistics.io/blog/embedded-analytics-for-saas/
• GoodData - Which Embedding Method Is Right for You? (iframe, Web Components, React SDK): https://www.gooddata.ai/resources/which-type-embedded-analytics/
• ‍Anchor Digital - The Impact of Using iFrames on a Website: https://anchordigital.com.au/articles/the-impact-of-using-iframes-on-a-website
• Springboard Digital - Why iFrames Are Bad for Your Website: https://springboard-digital.com.au/why-you-shouldnt-use-iframes-on-your-website/
• Wikipedia - Embedded Analytics (Overview): https://en.wikipedia.org/wiki/Embedded_analytics
• CoEnterprise Blog - Top 5 Reasons to Adopt Embedded Analytics: https://www.coenterprise.com/blog/the-top-5-reasons-to-adopt-embedded-analytics
• ‍G2 - Metabase Reviews: https://www.g2.com/products/metabase/reviews
• G2 - Sigma Reviews: https://www.g2.com/products/sigma-computing-sigma/reviews
• ‍G2 - Preset Reviews: https://www.g2.com/products/preset/reviews