Best Embedded Analytics Tools for SaaS Teams in 2026

TL;DR: The best embedded analytics tool depends on where your data lives and how your bill should grow with your customer base.

• White-labeled, multi-tenant analytics for a SaaS product on a SQL database: Draxlr (our product) is purpose-built for it, with dashboard or full app embedding, row-level security and unlimited customer viewers. Metabase works if read-only embeds are enough.
• Analytics as a design-led part of your product: Luzmo, Embeddable or Sisense.
• Governed metrics across many tenants, or deployment in your own cloud: GoodData or Qrvey.
• Already on Microsoft Azure: Power BI Embedded.
• A branded data warehouse for each customer: Peliqan.

Embedded analytics puts dashboards and reports inside your own product, so customers see their data without leaving your app. For SaaS teams, the hard part is rarely the charts. It's keeping each customer's data separate, matching your product's design, and keeping the bill predictable as your customer base grows.

This guide compares the 9 embedded analytics tools built for that job in 2026: Draxlr, Peliqan, Luzmo, Embeddable, Metabase, GoodData, Qrvey, Sisense and Power BI Embedded. Each profile covers how the tool embeds, how it keeps customers apart, what it costs and where it falls short. General BI suites that also embed, such as Looker, Tableau and ThoughtSpot, are summarized in one table further down.

Disclosure: Draxlr is our product. It's listed first and judged on the same criteria as every other tool, trade-offs included. For more on how Draxlr handles embedding, row-level security and white labeling, see our embedded analytics tool page.

Key Takeaways

• Three things decide most embedded analytics projects: how each customer's data is isolated, how the bill grows with your customer base, and how native the embed feels inside your product.
• Pricing models differ more than features. Draxlr, Peliqan, Embeddable and Qrvey charge a flat fee. Metabase charges per signed-in user for interactive embedding, Luzmo scales with customer usage, GoodData with workspaces, and Power BI Embedded with capacity.
• At 500 customer users, our cost estimates range from $75/month to about $21,700/month. See the cost comparison below.
• White labeling and multi-tenancy are often gated to higher plans, such as Metabase Pro and Sisense Enterprise.
• Semantic-layer tools such as GoodData keep metrics consistent across tenants, but the data model has to be built before the first dashboard ships.

Quick Picks: Best Embedded Analytics Tool by Situation

What Is Embedded Analytics?

Embedded analytics means putting dashboards, charts and reports directly inside a software product instead of sending users to a separate BI platform. Traditional BI serves internal employees and is usually priced per internal seat. Embedded analytics serves your customers inside your product, so it has to keep customers apart, match your design, and stay affordable as the number of external viewers grows. That's why a BI tool that works well internally can be a poor fit for customer-facing dashboards. Our guide to what embedded analytics is covers the basics in more depth.

SQL dashboard tools for embedding. Some tools connect straight to your SQL database, so you build dashboards on the tables your product already uses, without first copying data into a warehouse or building a data model. Customers see current data, and there's no sync pipeline to maintain. The trade-off is that customer traffic runs queries against your database, so point the tool at a read replica and add caching as usage grows. Draxlr and Metabase both query databases such as PostgreSQL, MySQL and SQL Server directly.

Types of Embedded Analytics Tools

Embedded analytics tools fall into three groups. What separates them is who the product was first built for, and that decides how much work multi-tenancy and white labeling take.

Purpose-Built SaaS and White-Label Platforms

These platforms are built for SaaS companies and ISVs that put analytics in front of their own customers. Multi-tenant data isolation, white labeling and pricing that allows many external viewers are part of the core product rather than enterprise add-ons.

• Draxlr. Purpose-built for SaaS products whose data lives in a SQL database. You embed white-labeled dashboards, or the full analytics app, where each customer gets a workspace to build dashboards, query without code and ask the AI assistant. Row-level security on the Power plan keeps every customer to their own rows, and customer viewers are unlimited on every plan.
• Qrvey. Built for multi-tenant SaaS, with a built-in data engine on its Ultra edition, flat-rate licensing for unlimited users and deployment in your own cloud.
• Luzmo. A design-led platform with a JavaScript SDK, web components and a drag-and-drop builder, priced by customer usage.
• GoodData. Multi-tenant analytics on a semantic layer, with hierarchical workspaces that roll shared metrics out to every tenant.
• Yellowfin. Embedded BI for software vendors, with white labeling through a JavaScript API, automated anomaly alerts called Signals and data storytelling.
• Peliqan. A white-label data cloud that gives each customer a branded data warehouse with connectors, BI and AI.

Developer-First and Headless Tools

These suit engineering teams that want analytics built from code, so every chart follows their own design system.

• Embeddable. Data models and chart components live in your repository and render through one web component.
• Sisense. The Compose SDK builds embedded analytics from React components inside your own interface.

Enterprise BI Suites That Also Embed

These suit companies already committed to a cloud or BI ecosystem. Embedding is one feature of a larger internal BI platform, so a data model, license structure or cloud comes with it. Power BI Embedded fits Azure, Looker fits Google Cloud, Tableau fits Salesforce and ThoughtSpot leads on natural-language search. Metabase is the open-source option in this group, with interactive embedding on its paid plans, and Qlik, Domo, Sigma and Amazon QuickSight sit in the BI platforms table further down.

What to Look for in an Embedded Analytics Tool

• White labeling. Some tools include it from the first paid plan, others only on enterprise tiers. Check custom domain, logo removal, fonts, colors and vendor branding in exports and emails separately.
• Tenant isolation. Each customer must only ever see their own data. Built-in row-level security or per-customer workspaces are far easier to maintain than filters you wire up yourself.
• Pricing at scale. Per-user pricing compounds fast. 500 customers with 5 users each is 2,500 billable seats. Flat, capacity and workspace pricing are easier to forecast.
• Time to first embed. Tools that query your database directly reach a first embedded dashboard in days or weeks. Tools that need a semantic model first take longer.
• Embed method. An iframe is quick to ship but hard to style. SDKs and web components let dashboards inherit your design system and behave like native features.
• AI, security and deployment. Check that AI answers stay inside each customer's data and whether AI usage is capped or billed. Confirm SSO, audit logs and compliance reports such as SOC 2, a HIPAA BAA or GDPR terms, and whether the tool can run in your own cloud.

How We Evaluated These Tools

We assessed every tool on the criteria above, using each vendor's public pricing page and product documentation. Prices were checked in September 2026, and Luzmo and Sisense were rechecked in October 2026 after their pricing pages changed. Where a vendor doesn't publish prices, we say so rather than estimating. Nothing here is sponsored, and no vendor paid for placement. We didn't run a performance benchmark, so load times will depend on your data volume, database and caching.

The main list covers tools whose core job is analytics embedded in someone else's software. BI suites that also embed get their own table.

Quick Comparison: Best Embedded Analytics Tools in 2026

Pricing based on each vendor's public pricing pages and documentation, checked September 2026 (Luzmo and Sisense rechecked October 2026). Enterprise quotes may vary.

Embed Methods and Tenant Isolation Compared

The embed method decides how much work it takes to ship and how native the result feels:

• iframe: the vendor hosts the dashboard and your app loads it from a signed URL. It's the fastest to ship and gives you the least control over styling.
• Web components: custom HTML elements that render in your page and work across frameworks.
• SDKs: React or Vue libraries with component-level control, so analytics can match your design system.
• APIs: backend calls that generate embed tokens, provision tenants or power a fully custom interface.

Whichever you use, generate embed tokens on your server and scope them to the current customer. Our guide to secure token-based dashboard embedding shows how. Most tools isolate customers by filtering shared tables; our comparison of row, schema and database isolation models explains the alternatives.

For tenant isolation, query latency and cost at scale when customers query your SQL database directly, see our guide to customer-facing SQL analytics tools.

1. Draxlr

Best for: SaaS companies and ISVs on SQL databases that need white-labeled, multi-tenant analytics inside their product

Draxlr is a purpose-built embedded analytics platform for SaaS products. It connects directly to SQL databases, including PostgreSQL, MySQL, SQL Server, BigQuery, Snowflake, ClickHouse, Databricks and Supabase, and embeds the dashboards you build into your product, white-labeled, with filters, drill-downs and exports. There's no semantic layer to set up first: your team builds on the tables you already have, with the visual query builder, the AI SQL tool or raw SQL. Draxlr also offers full app embedding, which gives each customer a complete analytics workspace inside your product, with shared dashboards, their own dashboards and saved queries, a query builder, a SQL editor and an AI assistant.

Draxlr's embed preview: the dashboard your customers see, with filters, alongside the embed settings panel.

Embedding and isolation. Dashboard embeds ship as HTML, React or Vue snippets, or through a backend API for server-side token auth, with the code generated in the embed builder. Full app embedding uses an HTML snippet and an embed URL your backend generates for each customer. Row-level security, on the Power plan, keeps each customer to their own rows across dashboards, filters, exports, saved queries and the AI assistant, using the RLS group and attribute values your backend sends with the embed token.

Pricing. Flat, with no per-viewer or per-embed fees. The Premium plan at $75/month includes dashboard embedding, white labeling, 2 databases, 10 internal users and unlimited customer viewers. The Power plan at $250/month adds full app embedding, row-level security, 5 databases and 30 internal users. A 7-day free trial of the Power plan needs no credit card. Source: Draxlr pricing.

Trade-offs. Without a semantic layer, metric definitions live in individual queries, so keeping them consistent across many dashboards takes discipline. Internal users and databases are capped per plan, so larger internal teams move up a tier.

2. Peliqan

Best for: SaaS teams that want to give each customer a branded data warehouse with connectors, BI and AI, rather than only a set of embedded dashboards

Peliqan is an all-in-one data platform that SaaS companies can offer to their own customers as a white-label data cloud. Each customer gets a data warehouse built on Postgres and Trino, with your platform's data pre-loaded as an analytics-ready star schema and kept in sync automatically. Customers can then add their own sources from 300+ connectors, such as Salesforce, HubSpot or Microsoft Dynamics, and combine them with your data. On top of the data warehouse, customers use the built-in Metabase or connect Power BI, Tableau, Looker or Excel, and a built-in MCP server and Text-to-SQL let them, and their AI assistants, query their data in plain language.

Peliqan's homepage, showing the governed data warehouse that sits between source systems and the BI and AI tools reading from it (captured October 2026).

Embedding and isolation. The data cloud runs under your logo, colors and domain, and can be embedded inside your product with a JavaScript SDK or connected to your own login with single sign-on. Each customer gets an isolated environment as a sub-account, with a dedicated or shared data warehouse, and feature gating lets you control which connectors and features each customer tier can use. Results can also be delivered outside the product through published API endpoints and reverse ETL back into the business apps customers already use.

Pricing. The white-label data cloud is priced at a fixed fee per customer, starting from $1,700/month (€1,500/month), and includes the white-label setup, a partner domain with an account per customer, and dedicated training and onboarding. For internal use, standard plans start at $85/month per data source (Connect) and $570/month (Pro, 10 users and 10 data sources), with a 14-day free trial and no credit card required.

Trade-offs. Peliqan is a data platform first, not a dashboard design tool. Customer-facing dashboards run on the built-in Metabase or the customer's own BI tool, so teams that want component-level chart embedding matched to their design system should pair Peliqan with a dedicated embedded analytics tool. The white-label offer starts at $1,700/month, which is more than teams need if they only want to show a few dashboards on top of a single SQL database.

3. Luzmo

Best for: SaaS teams where analytics is a design-led part of the product

Luzmo is a purpose-built embedded analytics platform with a developer SDK and a drag-and-drop dashboard builder, so product managers and designers can build and change dashboards without engineering help. It suits teams where the visual quality of embedded dashboards matters and advanced chart types are needed.

Luzmo's embedded analytics homepage (captured September 2026).

Embedding and isolation. A JavaScript SDK and web components, with themed components that inherit your application's design system. Row-level security works through JWTs and user attributes, and both live and cached data modes are available.

Pricing. One plan, Embedded Everywhere, from €1,995/month billed annually, with white labeling, end-user self-service, AI and APIs included. The price scales with customer adoption. Source: Luzmo pricing.

Trade-offs. Usage-based pricing makes costs harder to predict, because a jump in customer engagement raises the analytics bill. The starting price is also a large commitment while only a few customers use dashboards. Comparing other options? See our Luzmo alternatives.

4. Embeddable

Best for: engineering-led SaaS teams that want native, code-first embedded components

Embeddable is a developer-first embedded analytics platform. Data models and chart components live in your own code repository, are reviewed and version-controlled like the rest of your application, and are pushed to Embeddable through its SDK. A no-code builder lets non-technical teammates make changes on top.

Embeddable's customer-facing analytics homepage (captured September 2026).

Embedding and isolation. A single web component that works in React, Vue or plain HTML, not an iframe. Row-level security scopes access by user or tenant, and multi-tier caching sits in front of your data source without copying customer data into a separate analytics warehouse. White labeling is included.

Pricing. A flat monthly subscription with unlimited usage and every feature included. Prices aren't published: plans are quoted after a scoping conversation. Source: Embeddable pricing.

Trade-offs. The code-first model needs frontend engineering time to build and maintain components, so it's slower to start than drag-and-drop tools for teams without that capacity.

5. Metabase

Best for: teams already using Metabase internally that want to show some dashboards to customers

Metabase is a BI tool known for its clean interface and accessible query builder, and its open-source edition is free to self-host. It's popular for internal reporting. For customer-facing use, the thing to model is its per-user pricing for interactive embedding.

Metabase's embedded analytics product page (captured September 2026).

Embedding and isolation. The open-source edition supports static embedding with a "Powered by Metabase" badge. White labeling, interactive embedding, multi-tenant support and the React SDK need the Pro plan. Static embeds are read-only and need no login. Interactive embeds add filters and drill-through, but each customer has to sign in to Metabase.

Pricing. Starter is $100/month plus $6 per user after the first 5, cloud only. Pro is $575/month with 10 users included and $12 per additional user. Every customer who signs in to an interactive embed is a billable user, so 500 customer users on Pro come to about $6,455/month. Source: Metabase pricing.

Trade-offs. You choose between read-only static embeds with no viewer cost and interactive embeds billed per viewer, and the second option compounds quickly as your customer base grows. Comparing other options? See our Metabase alternatives for embedded analytics.

6. GoodData

Best for: SaaS companies that need governed, multi-tenant analytics built on a semantic layer

GoodData, now branded GoodData.AI, is an analytics platform designed for embedded and multi-tenant use. Its semantic layer defines metrics once and reuses them for every customer, and its workspace hierarchy lets a SaaS company roll out shared content to many tenants at once. It also offers compliance options such as HIPAA.

GoodData's embedded analytics platform page (captured September 2026).

Embedding and isolation. iframe, web components and APIs on both plans, with white labeling included. Multi-tenancy is built in through hierarchical workspaces, where child workspaces inherit shared dashboards and metrics from a parent.

Pricing. Two plans, neither with published dollar amounts. Professional is a platform fee plus the number of workspaces, with unlimited users and data and a free trial. Enterprise uses custom pricing and adds custom agents, 24/7 SLAs, three environments and CI/CD. Source: GoodData pricing.

Trade-offs. SaaS deployments usually give each customer its own workspace, so cost grows with your customer count. The semantic model has to be designed before dashboards go live, which lengthens time to first embed. Comparing other options? See our GoodData alternatives for embedded analytics.

7. Qrvey

Best for: SaaS platforms with many tenants that want built-in multi-tenant security, customer self-service and deployment in their own cloud

Qrvey is an embedded analytics platform built for SaaS companies. Qrvey Pro works with your existing analytics database, and Qrvey Ultra adds a built-in data engine and transformation layer. It suits products where customers should build their own dashboards and reports, and companies that must run analytics inside their own AWS, Azure or Google Cloud environment.

Qrvey's embedded analytics homepage (captured September 2026).

Embedding and isolation. Embedded self-service dashboards and reporting with built-in multi-tenant security, white labeling and APIs on both editions. AI insights support GPT, Gemini, Cohere and Claude models. A Developer Playground lets teams try embedding before talking to sales.

Pricing. No published dollar amounts. Both editions use flat-rate licensing with unlimited users, dashboards, data and connections, and a perpetual license is available as an alternative to a subscription. Pricing is shared within 24 hours of a request. Source: Qrvey pricing.

Trade-offs. Quote-only pricing makes early budgeting harder. Qrvey Pro assumes your data is already in an analytics-ready database, so teams starting from raw operational data need Ultra. Running in your own cloud also makes your team responsible for that environment, so teams without engineers to spare for it should look at the Qrvey alternatives that host the platform for them.

8. Sisense

Best for: teams that want React-level customization and enterprise multi-tenancy

Sisense is an analytics platform with a long track record in embedded use cases. Its Compose SDK builds embedded experiences from React components, and Sisense Intelligence adds AI insights and natural language querying.

Sisense's embedded analytics homepage (captured September 2026).

Embedding and isolation. iframe, Compose SDK and Embed SDK. The Self-Serve plan embeds with an iframe or the Compose SDK on any tech stack. Row-level security is available, while full white labeling and native multi-tenancy are part of the Enterprise plan.

Pricing. Two plans, Self-Serve and Enterprise, with no published prices. Self-Serve can be tried free. Enterprise adds full white labeling, native multi-tenancy, premium support and a dedicated customer success manager. Source: Sisense plans.

Trade-offs. Teams that need tenant isolation and a fully branded embed from day one should price the Enterprise plan early. Without published prices, comparing Sisense with flat-priced tools takes a sales conversation. Comparing other options? See our Sisense alternatives.

9. Power BI Embedded

Best for: teams already invested in the Microsoft Azure ecosystem

Power BI Embedded is Microsoft's service for embedding Power BI reports and dashboards inside external applications. It's capacity-based rather than per-user, which is easier to forecast than per-seat tools, and it's the natural choice for teams already on Azure or using Power BI internally.

Microsoft's Power BI Embedded product page on Azure (captured September 2026).

Embedding and isolation. A JavaScript API for embedding reports, dashboards, tiles and Q&A, with token-based authentication and row-level security for tenant isolation. Both app-owns-data and user-owns-data scenarios are supported.

Pricing. Capacity-based A-SKU pricing from about $735/month for the A1 SKU. Handling more concurrent viewers means buying more capacity. Source: Power BI Embedded pricing on Azure.

Trade-offs. Power BI Embedded is tightly coupled to Microsoft, so teams not on Azure take on extra infrastructure work. Design flexibility for white-labeled products is narrower than in dedicated embedded tools, and implementation takes more engineering. Comparing other options? See our Power BI alternatives.

Other BI Platforms That Also Embed

These are general BI suites that offer embedding as one part of a larger platform. They're strong picks when your company already runs on them, but each brings a data model, a license structure or a cloud ecosystem to adopt first.

Prices from each vendor's pricing page, checked September 2026, except Looker, whose figures are estimates because Google quotes through sales.

Embedded Analytics Pricing Models and Hidden Costs

Entry prices are a poor guide to what you'll pay, because each vendor bills against a different unit:

• Flat or platform pricing: one fee regardless of viewers. Draxlr, Peliqan, Embeddable and Qrvey work this way. It's the most predictable model as your customer base grows.
• Per user or per viewer: Metabase interactive embedding, Looker viewer seats and Tableau role-based licenses. Often cheapest with a few users and most expensive at scale.
• Customer usage: Luzmo's price scales with customer adoption.
• Capacity, sessions or credits: Power BI Embedded capacity, QuickSight reader sessions and Domo credits follow usage and concurrency rather than headcount.
• Per workspace: GoodData Professional charges a platform fee plus the number of workspaces, which usually tracks your customer count.

Also budget for plan gates on white labeling, multi-tenancy and SSO, platform minimums, warehouse compute from live queries, AI usage caps, extra environments for staging, and the engineering time to build models or components. Our embedded analytics cost guide walks through a full budget.

What 500 Customer Users Cost

The table applies list prices and estimates to one scenario: 500 customer users who interact with embedded dashboards every month.

Draxlr's figure is the Premium plan; full app embedding and row-level security start on the Power plan at $250/month. These estimates exclude implementation time, hosting, warehouse compute and negotiated discounts. Luzmo is left out because its price scales with usage above the €1,995/month starting point, and quote-based tools such as Embeddable, GoodData, Qrvey and Sisense are left out because they don't publish prices. Before signing, ask every vendor for a written quote at your current viewer count and at your projected count 12 to 24 months out.

How to Choose the Right Embedded Analytics Tool

Building it yourself means a query layer, secure embed tokens, tenant isolation, caching, exports and white labeling on top of the charts, so most SaaS teams buy. Our guide to embedded analytics without a data warehouse compares building and buying in detail. If you're buying, work through these five questions in order:

1. Where does your data live? If it's only in your application database, Draxlr and Metabase reach a first dashboard without a warehouse or model. If it's in a cloud warehouse, Sigma, Omni, ThoughtSpot and Looker become options, but customer dashboards use warehouse compute. With no data stack yet, Peliqan or Domo cover ingestion as well.
2. Do you need a semantic layer? If many tenants must share the same metric definitions and you have a data team to maintain a model, shortlist GoodData, or Looker, Omni or Holistics. If you're shipping dashboards on existing SQL, a model adds setup time you may not need yet.
3. How native must the embed feel? For dashboards that inherit your design system, shortlist SDK or web-component tools: Draxlr (React and Vue), Luzmo, Embeddable and Sisense (Compose SDK). Then check which plan white labeling is on.
4. How is each customer isolated, and on which plan? Ask every vendor to show the mechanism, whether that's row-level security, filters in signed tokens or separate workspaces. Then confirm the plan: native multi-tenancy is on Sisense Enterprise, and row-level security for embeds is on Draxlr's Power plan.
5. Price it at your real viewer count. Use the 500-user comparison as a starting point, and get written quotes at today's viewer count and your projection 12 to 24 months out.

Conclusion

There's no single best embedded analytics tool. The right one depends on where your data lives, whether you need a semantic layer, how native the embed must feel, and how your bill grows with your customer base:

• White-labeled, multi-tenant analytics on a SQL database: Draxlr (our product). Metabase works if read-only static embeds are enough.
• Analytics as a design-led product feature: Luzmo, Embeddable or Sisense.
• Governed metrics across many tenants: GoodData.
• Many tenants deployed in your own cloud: Qrvey.
• Microsoft shops: Power BI Embedded.
• A branded data warehouse for each customer: Peliqan.

Shortlist two or three tools, then run the same pilot on each one. Embed one real dashboard in staging with tenant filtering turned on, measure load times on production-sized data, confirm white labeling on the plan you'd actually buy, and get pricing in writing at your projected viewer count.

FAQs

1. What are embedded analytics tools?

Embedded analytics tools let you put dashboards, charts and reports inside your own application, under your branding, with each customer limited to their own data. They handle the query layer, secure embed tokens, tenant isolation and white labeling, so your team doesn't build them from scratch.

2. What is the best embedded analytics tool for SaaS startups?

It depends on budget, data setup, and engineering capacity. Startups on a tight budget usually look for published pricing, white labeling on an entry plan, and no per-viewer fees: Draxlr (our product) starts at $75/month with unlimited customer viewers, and Metabase's open-source edition supports free static embedding with a Metabase badge. Teams with frontend engineers who want native components can consider Embeddable or Luzmo, and teams already on a cloud warehouse can consider Sigma.

3. What is the best embedded analytics software for a SaaS product built on a SQL database?

It depends on where your data lives, how many customers will view dashboards, and how much engineering time you can give the embed. For a SaaS product on Postgres, MySQL, or a SQL warehouse such as Snowflake, BigQuery, or ClickHouse, the requirements that matter most are direct database connectivity, white labeling, filtering each customer to their own rows, and pricing that does not grow with viewer count. Draxlr (our product) covers all four: white-labeled dashboard embedding with unlimited customer viewers and embed snippets for HTML, React, and Vue starts at $75/month, and row-level security comes with the Power plan at $250/month. Metabase fits teams that want open source, though interactive embedding adds per-user fees. Teams that need governed metrics shared across many tenants usually shortlist GoodData or Looker, which take longer to set up because the data model comes first.

4. How much do embedded analytics tools cost?

Published entry prices range from $75/month for Draxlr Premium to about $60,000/year for Looker's base platform. Luzmo starts at €1,995/month billed annually, Metabase Pro at $575/month plus $12 per extra user, and Power BI Embedded at about $735/month. Embeddable, GoodData, Qrvey and Sisense only share prices through sales. For 500 customer users who interact with dashboards every month, our estimates range from $75/month to about $21,700/month.

5. Do embedded analytics tools charge per customer viewer?

It depends on the tool. Metabase charges $12/month per signed-in user for interactive embedding, while static embeds have no viewer fee. Looker charges about $400 per viewer per year. Luzmo's price scales with customer usage. Draxlr, Embeddable and Qrvey don't charge per viewer, and GoodData prices by workspace with unlimited users.

6. How long does it take to embed dashboards using these tools?

With Draxlr, most teams have their first embedded dashboard live within one to two weeks of connecting their database. Luzmo says its customers deliver dashboards in days using its drag-and-drop builder. Tools built around a semantic layer, such as GoodData, Looker and Omni, take longer because the data model has to be built first. Implementations on those platforms often take several weeks to months.

7. Can I white-label embedded analytics dashboards?

Yes, but it's gated differently by each vendor. Draxlr includes white labeling in the $75/month Premium plan, Metabase from the $575/month Pro plan, and Luzmo in its single plan from €1,995/month. Embeddable, GoodData and Qrvey include it, and Sisense includes full white labeling on its Enterprise plan.

8. Is there an open-source embedded analytics tool?

Yes. Metabase's open-source edition is free to self-host and supports static embedding with a Powered by Metabase badge. Interactive embedding, white labeling and the React SDK require its paid Pro plan.