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Embedded analytics is one of the most powerful additions your SaaS product can get in 2026 and beyond. By adding interactive dashboards to your platform, you give your users information so they can make data-driven decisions. On top of that, the product becomes stickier and more valuable, and you can charge more for the added analytics capabilities.
In theory, that sounds great. In practice, you face hurdles from day one: you have to choose an embedded analytics platform. On the one hand, there are traditional BI tools like Tableau, which embed and perform poorly. On the other hand, there are modern embedded analytics tools that are seemingly expensive and have a steep learning curve.
But the truth is somewhere in between, as always. Today, we look at the most popular embedded analytics platforms to help you choose a tool that adds value to your product and makes life easier for your dev team.
Choosing an embedded analytics solution boils down to making a few key decisions, and that becomes a lot easier once you know what to look for. These are the key features that should be on your priority list.
To get embedded analytics capabilities in your product, you need to create interactive dashboards and reports and embed them in an app or a website. This impacts how much work your developers will have and what the performance will look like on the front end.
There are several choices:
If you don't care about customization (making the dashboards look and feel like a part of your product) and the loading speed, iframes are okay. In fact, they're the default in the industry. If you want fully customizable, interactive dashboards, you need modern embedded analytics software with SDKs.
Data visualization is a key part of embedded analytics: explaining concepts through graphs and charts that your target audience can understand, be it your internal team or your end users.
The best embedded analytics tools have a wide variety of visualization types, from bar charts to Gantt charts and choroplets. Some BI tools, such as Tableau, have wide selections by default, while some modern tools allow using charting libraries to get a set of custom visualizations based on the needs of your dev team or your customers.
One of the most valuable embedded analytics features is the ability to connect to a large number of data sources. This includes traditional data lakes and warehouses, where information is cleaned and stored.
On top of that, your platform of choice should connect to your most important business applications either directly or via API. For example, a data visualization on sales performance will be massively more useful if connected to data from your CRM.
If you're using embedded analytics to show valuable insights to your end users, they're going to expect the dashboards to look and feel like your product or website. This means not only the customization, but also the performance.
Traditional BI tools such as Power BI have a tendency to load dashboards very slowly when they fetch data. Your end user could load your app and then wait 20 seconds for the data visualization to load, which can ruin the user adoption and experience.
This is especially important with self-service analytics, where the end user could do data exploration. If performance is subpar, the adoption will be too.
The best embedded analytics platforms allow end users to create their own dashboards and explore data on their own terms. These are typically non-technical users who have a basic understanding of data analysis or modeling, but want to understand what the data is telling them.
The self-service analytics capabilities allow them to use predictive analytics, design their own dashboards with drag-and-drop features, and get actionable insights from the data they work with every day.
The key part of embedded BI tools is that they should feel embedded. The problem with that is some of the more traditional analytics software (Tableau, Looker, Power BI) uses iframes, and the embedded dashboards look out of place and don't match the design of the rest of your app.
Modern embedded analytics tools that use SDKs and web components give you more freedom to create interactive dashboards that are pixel-perfect and blend into the rest of the app seamlessly.
To find out the best embedded analytics solution for your use case, you first need to understand your requirements. Below, we list some of the best embedded analytics tools in the market in 2026, ranging from traditional to modern tools built for embedding only.
Luzmo is a dedicated embedded analytics platform designed specifically for SaaS companies that want to deliver interactive, white-labeled dashboards to their end users.
Unlike traditional BI tools that treat embedding as an afterthought, Luzmo was built from the ground up for easy integration into customer-facing applications and embedded business intelligence. It strikes a balance between ease of use for non-technical users and flexibility for developers.
Dashboards are embedded via a lightweight web component or SDK, avoiding the limitations of iframe-based solutions. It supports true self-service analytics, letting end users filter, customize, and even build dashboards inside your product if enabled. Developers can fine-tune the experience through APIs for multi-tenancy, user management, and dynamic filtering.
Luzmo connects to a wide range of data sources, including SQL databases, cloud data warehouses, APIs, and spreadsheets. The visualization library covers all standard chart types and is visually modern, with drag-and-drop editing for fast dashboard creation.
Luzmo offers extensive styling options and responsive layouts that feel native to your app.
Pricing is tiered and usage-based, typically depending on the number of creators and viewers, along with features like white-labeling. There’s no per-user pricing on the viewer side, which keeps costs predictable as usage scales.
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Power BI Embedded is Microsoft’s version of Power BI made for embedding analytics in external apps. It’s part of the Azure ecosystem and suits teams already using Microsoft infrastructure.
It uses secure iframes and APIs to embed dashboards. While end users can interact with filters and visuals, report creation stays within Power BI Desktop. Self-service is limited to predefined interactions.
Power BI connects to hundreds of data sources. Visuals are rich and extensible via a custom visual marketplace, but branding customization is limited.
Pricing is usage-based and tied to Azure capacity, not per user. This offers scalability but requires careful resource planning.
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If you're already using Power BI for internal reports and data visualization, using their embedded analytics software makes perfect sense. However, note that the embedding experience won't be the greatest, and there is not much you can do in terms of customization.
Tableau Embedded allows companies to embed Tableau dashboards in external applications. It’s a traditional BI tool with strong visual capabilities, now adapted for embedding.
Integration uses JavaScript APIs or iframes. End users can interact with dashboards, but editing and creation happen in Tableau Desktop or Server. It’s more of a presentation layer than a true self-service tool for external users.
Tableau supports a wide range of data sources and offers top-tier visualization quality. Developers can’t use custom charting libraries, but visuals are customizable within Tableau’s interface.
Pricing is per user or core-based and negotiated separately. Embedded use typically requires an OEM agreement.
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This is one of the best embedded analytics tools in terms of how many visualizations are available. But the downsides may not be worth it for most companies, as it can get very pricey, and it's not built for native embedding in terms of look and feel. Like Power BI, if you're already using it internally, it's a logical choice.
Looker, now under Google Cloud, offers embedded analytics via secure iframes or its API. It’s a traditional BI platform known for its semantic modeling layer (LookML) and centralized governance.
Embedded users can filter and interact with dashboards. If permitted, they can explore datasets, but full dashboard creation is reserved for internal users.
Looker works best with modern cloud data warehouses. Visualizations are functional but not highly customizable, and third-party chart libraries aren’t supported.
Pricing is custom and often high, especially for embedding. It typically involves a platform fee plus per-user costs.
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Looker is very powerful if you have developers on board who know their way around LookML. Visualizations are on par with Tableau or Power BI. The elephant in the room is the pricing, as Looker is known to cost over six figures per year for applications with many end-users and complex multi-tenant setups.
ThoughtSpot focuses on search-based analytics and is known for letting users ask data questions in natural language. It’s not a traditional dashboarding tool, but it offers embedded analytics through its “ThoughtSpot Everywhere” offering.
Embedding uses SDKs or iframes. Users can explore data via a search interface, making it ideal for true self-service scenarios. It works best when paired with clean, well-modeled cloud data.
Data connectivity is focused on modern data warehouses. Visualizations are auto-generated and limited in styling. No support for external charting libraries.
Pricing is enterprise-level, often consumption-based and variable depending on usage.
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ThoughtSpot has solid embedded analytics features but puts AI in the spotlight. As we've shown time and time again, the AI features only work really well when the data is clean and structured well. In other words, if there's a team of engineers who do the hard work before non-technical users come in to do ad-hoc data exploration. Pricing isn't ThoughtSpot's strong side either.
Domo is a full-stack cloud BI platform with embedded analytics capabilities. It’s best for teams that want end-to-end tooling, including ETL and data governance, along with external dashboards.
Embedding is handled via iframes or APIs. Users can interact with dashboards but not build them unless added to your Domo instance.
It has over 1,000 connectors and real-time refresh capabilities. Visualizations are modern but not extensible with external libraries.
Pricing is usage-based and not transparent. Expect costs tied to data volume, refresh frequency, and user roles.
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Domo is an excellent challenger for the embedded analytics tools throne, but for every good aspect, there's a bit missing that takes away from the total experience. Compared to other dedicated embedded analytics platforms, it's expensive and the pricing is under a cloud of mystery. Customization isn't the greatest either.
Sisense is an enterprise-grade BI platform with strong support for embedded analytics. It offers advanced APIs and a developer-focused SDK for fully custom integrations.
Dashboards can be embedded as full pages or individual widgets. Developers can build custom experiences using Sisense's JavaScript libraries.
Supports both in-memory (ElastiCube) and live connections. Visualizations are decent and can be extended using Blox and plugins, but require dev effort.
Pricing is typically quote-based and depends on server capacity or user tiers.
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Sisense can be used for its internal reporting or embedded analytics features and it does fine in both instances, but it's not exceptional at either. In-house teams can justify the high costs, but for embedded use cases, it can be difficult to reach an ROI that makes sense.
Yellowfin is a traditional BI platform that offers embedded analytics with a strong focus on data storytelling and collaboration. It suits companies that want built-in narratives with their dashboards.
Embedding is done via iframes or APIs. Users can interact with visuals and follow curated stories, but report creation is usually internal.
It supports most standard data sources and offers automation features like alerts and signals. Visuals are clean but not deeply customizable.
Pricing is flexible and often negotiable, with options for OEM use and server-based licensing.
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Yellowfin has been one of the top embedded analytics tools for a while, largely thanks to the way data is presented. Ironically, it doesn't stack up great against most competitors in terms of the visualizations, but it makes up for that with the cost.
Embeddable is a developer-first embedded analytics toolkit built for SaaS apps. Unlike full BI suites, it focuses entirely on embedding with minimal overhead.
Uses web components or SDKs with no iframes. Developers have full control over layout and can bring in custom chart libraries.
It connects to your backend or APIs and doesn’t store data. Caching and multi-tenancy are handled via API configuration.
Pricing is flat-rate, subscription-based, and not tied to the number of users or views. It is, however, tied to the number of employees in your team, which can actually hurt larger businesses.
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Embeddable is an interesting choice if you have a team of developers frustrated with the limitations of working with iframes. It can connect to any charting library, which unlocks limitless visualization options. On the downside, it doesn't have robust data modeling that many of its competitors do. "Flat rate pricing" is a buzzword, and you still have to talk to sales.
Vizzly is a lightweight embedded analytics tool built for SaaS teams that need simple dashboards fast. It’s not a full BI platform, but a toolkit to embed customer-facing analytics with low effort.
Dashboards are embedded via a web component or React SDK. You can theme visuals and allow light filtering. There’s a no-code builder for internal teams.
It connects to SQL databases or REST APIs. Visuals are clean and responsive but limited in types and customization.
Pricing is subscription-based and quote-driven. There was a free tier, but full embedding required paid plans.
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Vizzly is a compromise for those teams that want to get off the ground quickly and don't mind paying for it with limited options. Setup is quick and easy. However, the tool was acquired in late 2024 and it's unclear what the future will bring.
Sigma is a spreadsheet-style BI tool built for live querying of cloud data warehouses. It’s popular for teams who want Excel-like analytics on big data.
Dashboards are embedded using secure iframes or API. End users can filter and explore but not create new content without being a Sigma user.
Works with Snowflake, BigQuery, Redshift, and other modern databases. Visualization options are solid but less customizable than other tools.
Pricing includes a platform fee plus per-seat licensing for authors. Viewers in embedded contexts are usually not charged per user.
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If you wanted to get Excel on steroids, Sigma is a good deal. Visualizations are very limited, but since the target audience isn't exactly enterprise, you can get by with the basics. This is ideal for embedding in internal settings as it's still a good upgrade compared to Excel or Sheets.
One thing is clear: dedicated embedded analytics tools integrate with the right data sources, have a rich selection of visualizations, and offer excellent data security. Dedicated BI tools such as Tableau or Power BI are only a viable option if you already use them in-house and you're okay with doing the extra work to embed them in your platform.
For anyone who wants the absolute best embedded analytics platform, there is only one choice. You should get a dedicated embedded analytics tool that gives your end users the freedom to explore data on their own terms, and makes it easy for your developers to create a beautiful, cohesive UI and UX.
In short, you need Luzmo, an AI-powered embedded analytics platform that makes SaaS products more powerful for end users and easier to work with for your dev team.
All your questions answered.
Build your first embedded data product now. Talk to our product experts for a guided demo or get your hands dirty with a free 10-day trial.
