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It's hard to imagine our favorite apps without valuable data insights. Think of Strava without its charts showing average speed, heart rate or how many miles you've run over a period of time. Or MailChimp without metrics like open rate, bounce rate and unsubscribe rate.
As valuable as these insights may be, building charts and graphs for your SaaS app is not something your developers can manage quickly between other tasks. It takes considerable time and effort.
If you want to skip the lengthy development cycles, embedded analytics tools are a tremendous help. In this article, we'll compare 11 of the best embedded analytics tools for 2025, so you can make an informed decision.
An embedded analytics tool is a piece of analytics software that plugs into your web app or SaaS cloud based platform already. Software builders use it to add data analysis capabilities, like interactive dashboards and data visualizations, to their existing applications, instead of coding something from scratch.
If building business intelligence dashboards was complex before, embedded analytics tools make it easy!
Unlike traditional BI tools, embedded analytics tools make actionable insights available directly inside the apps and software we use daily. Data-driven decision-making becomes part of your users' daily workflows, without needing a separate business intelligence tool or an experienced data analyst. An intuitive interface lets any non-technical user make smarter, informed decisions.
Choosing the right embedded analytics platform is all about meeting your business goals. Imagine you work at a startup with initial traction and you want to add customer-facing analytics to your product quickly. Your goals will be very different from, let's say, a large financial institution that wants to completely overhaul its existing customer dashboard.
So, what is your primary goal?
Ultimately, the right platform should support your strategy to create new revenue streams, reduce operational costs, and keep customers engaged with valuable, real-time insights.
If you try a quick Google search for ‘embedded analytics platform', you'll be overwhelmed with choices. Picking the right one for your use case will be much easier if you have a few criteria to evaluate.
The criteria below are a great starting point for embedded analytics requirements, especially for product teams looking to embed in web apps or software platforms.
Choose a tool that is easy to embed in your tech stack of choice - bonus points if it doesn't lock you into specific cloud providers, databases or programming languages. You'll want your analytics to be an integral part of your app, so consider customizable styling options and white-labeling features early on.
Your end-users likely aren't experts in data science, so ease of use is crucial. Look for functionalities that help with intuitive data exploration, like drag and drop, filtering, drill-downs,... Anything that makes data discovery and analysis easy for business users!
If you're building a cloud-based application, APIs are crucial to connect external tools and new building blocks. If you want your analytics to blend and integrate seamlessly with other capabilities of your platform – like authentication or AI layers – pick an API-first platform. Robust API capabilities are much more intuitive for developers to work with, and gives them more flexibility for future integrations with other systems.
Since you're dealing with the sensitive data of your clients, you'll want to put data security high up on your list of selection criteria for the best embedded analytics platform. Look for certifications like SOC-II or GDPR compliance to protect sensitive data. Look for features like row-level security and multitenant analytics to make sure you can control data access for different user roles.
There's nothing as annoying as getting stuck with a tool, and having no one to lean on. And implementing client-facing analytics can be a complex process - so you'll want to make sure you have a helping hand when you need it. Whether it's documentation, online user communities or white-glove services, find a partner that serves you the way you like best.
Without further ado, let's compare some of the top embedded analytics platforms to try in 2025 and beyond.
Best for: embedded business intelligence in software applications, combining user-friendly UI with a powerful open API.
Specifically built for intuitive embedding into software and web apps, Luzmo helps product teams deploy amazing analytics experiences in record time. Their suite of tools helps you build bespoke data products, just the way you want: whether it's with zero coding or with deep customization through code - you do it your way.
Luzmo is best known for being exceptionally user-friendly. On top of their intuitive drag-and-drop dashboard editor, they offer AI features to ask for insights in plain English, as well as a fully embeddable dashboard editor. Any end-user can dive deep into their data without the need for technical expertise or an experienced data scientist.
Not only the dashboarding is a piece of cake, but so is the implementation. Luzmo can be embedded by simply copy-pasting a few lines of code, or using one of their ready-made libraries for React, Angular or Vue.
But its lightweight nature doesn't make it less powerful. If you need to dive deep into customization, their Flex product lets you customize literally anything through code. On top of that, Luzmo prides itself on having one of the most comprehensive and intuitive APIs on the market. It lets you do anything from connecting proprietary data sources to building integrations with other functionalities of your SaaS app, LLM models, or any other external building block.
"I like that it is easy to embed into our own front-end and that it doesn't require its own infrastructure to work. In the beginning, they didn't have version control and multi-language dashboards. That was a pain, but they have that now and it works well." - review from Mark D., CEO of Timewax on G2
Luzmo plans start as of $995/month, with a full breakdown of all their pricing tiers on available on their website.
Best for: enterprise companies on the Microsoft ecosystem, or on-premise deployments.
Microsoft Power BI is an established tool in the business intelligence space. Although it's best known for internal reporting and interactive data visualization, they also offer Power BI for embedded reporting tools, which allows software developers to embed Power BI reports into their online apps or portals using their JavaScript SDK.
If you're already on the Microsoft stack and have a data analytics team, you'll love Power BI. Integrating with other Microsoft products like Azure, SQL Server, or Azure Active Directory is a breeze. The downside is that you'll have a harder time integrating Power BI embedded into a non-Microsoft stack.
If advanced visualizations and complex calculations are important for your use case, Power BI is your top pick. They have a marketplace full of custom visualizations to choose from, and with their DAX formula language, Power BI can go a long way for data manipulation.
Although Microsoft Power BI is best for ad-hoc reporting and internal KPIs, its embedding offering is often a logical choice for Microsoft-minded enterprises.
"Microsoft Power BI Embedded is an easy-to-use tool that allows users to integrate Power BI reports and dashboards into web pages, virtual workspaces, and applications and has seamless integration with Dynamics 365 Business Central, SharePoint, power apps, and third-party applications.
Power BI embedded allows business reports customization directly within a virtual workspace or workgroup project’s web page.
There is nothing that I dislike, but managing user permissions can be complex and then unintentionally denies access to embedded reports for authorized team members." - reviewed on G2 by Ramy S., Analytics Team Manager in Information Technology.
Power BI embedded pricing is difficult to predict since they charge based on the number of virtual cores and memory you need. If you want to get a good estimate, you'll need to do quite a bit of capacity planning upfront.
Check out the full guide on Power BI for embedded analytics if you want to dive deeper into their capabilities.
Best for: most comprehensive data visualization options.
Alongside Power BI, Tableau is one of the pioneers of today's modern data visualization tools. This self-service BI tool – acquired by Salesforce –- can help anyone, from beginners to experienced data scientists, turn raw data into visual insights without programming. They have an embedded analytics offering that allows you to integrate Tableau visualizations into your software app or website.
If you want to create impressive embedded dashboards, you'll love Tableau's drag-and-drop interface and an immense choice of chart types. If you need advanced analytics, it offers all the bells and whistles, like forecasting, and you'll have no issues with scalability and handling large datasets.
Tableau also supports a wide range of data connectors. Besides common databases, data warehouses and local files like CSV or Excel, you can use various Tableau integrations to hook up data from your CRM or other web services.
Although embedding isn't Tableau's core focus, it's relatively straightforward to embed in a simple business application. If advanced BI features are more important to your use case than seamless integration, Tableau might work for you.
"The best thing about Tableau is: it gives the top visualization experience to the user and the developer ass well; no other application can beat Tableau in Data Visualization. A few things which I personally don't like about Tableau are, it's cost and the data preparation/data cleaning capabilities are limited, And I also face some issues while embedding the reports." - reviewed on G2 by Muskan J, Human Resources Assistant.
Pricing is not publicly available for Tableau embedded, you'll need to contact sales for a quote.
To get the full picture on Tableau, check out our full review of Tableau for data visualization.
Best for: data teams who want data modeling capabilities and real-time analytics.
Looker is a cloud-based business intelligence tool, geared towards data scientists and analysts who want to model, explore, analyze and visualize their data. It's not to be confused with Looker Studio, which is how Google renamed its Data Studio product after acquiring Looker in 2019.
If you've got a team of data scientists who prefer writing queries instead of drag-and-drop, Looker is what you're looking for. With their proprietary language, LookML, you can do data modeling directly in Looker, and do data discovery using LookML queries. Their infrastructure is perfect for real-time user-facing analytics, and it's highly secure too.
Less tech-savvy users will have a hard time, but if you need a lot of control over data modeling inside your embedded BI solution, Looker stands out for tech-savvy teams. If you manage to overcome the learning curve of working with LookML, embedding their simple iframes will be pretty straightforward.
"Looker's ease of use has allowed us to provide it a self-service platform to all of our different product domain teams. Looker modeling is extremely easy to adopt. You can get powerful visualizations and dashboards with just a few clicks.
It's limited when it comes to pixel perfect reporting. It also has limitations with branding/theming capabilities. In addition, some of our our users would like to use it for operational reporting use cases. The 5000 row limit has been a show stopper for a few of our customers." - G2 review by Alci H.
Pricing is not disclosed on their website, but users report pricing for Looker embedded analytics reaching up to $5,000/month or more.
For a more comprehensive overview, check out our full review on Looker for embedded analytics.
Best for: AI-powered and search-driven analytics.
ThoughtSpot takes a slightly different approach to business intelligence with its focus on artificial intelligence for data analysis. Users can analyze their data by asking questions in plain English, making data-driven decision-making more accessible for non-technical folks.
Unlike dev-oriented tools like Looker, ThoughtSpot eliminates any need for coding or SQL to analyze your data. This makes it much more appealing to business users who simply want to analyze their data.
Add to that their unique value prop of AI-powered analytics, and any user can start exploring data without having a PhD in data science. In theory, that is. In practice, however, users report that data quality and ThoughtSpot's AI-driven analytics are far from perfect. Before exposing embedded analytics to your end-users, you'll still need a data scientist to prep the data for usage.
"I like how the cloud product continues to deliver new features and value each month. We evaluated over 15 vendors during our evaluation and ThoughtSpot was the clear winner. It supports our need for multi-tenant, SaaS delivery to our customers.
On the downside, it needs to be more flexible to embed content beyond using iFrames. Sage/GPT needs the ability to understand industry specific data models and metrics. They need to continue to improve integration with predictive analytic tools and models." - G2 review by Tom D.
You'll need to request a custom quote for embedded analytics, but it's clear from this ThoughtSpot pricing guide that it's going to be expensive.
Best for: real-time analytics for businesses who need valuable insights that are up-to-date by seconds.
Domo is a cloud-based business intelligence platform that covers many domains: from the data management and visualization to self-service analytics, machine learning, predictive analytics and embedded analytics. With their data experience platform, you can also do data integration and ETL.
Although Domo is similar to traditional BI tools, it sets itself apart with its focus on real-time insights. With 1,000+ prebuilt connectors, you can hook up almost any data source, and they offer alerts to get insights directly when the underlying data is changes.
According to user reviews, the embedding process is relatively straightforward and intuitive. However, if you want a little more support with the setup, Domo might not be it for you. Many users online complain about the lackluster customer support compared to other SaaS tools.
"We use Domo for embedded analytics for our customers. It's easy to pick up and get started for business users, plenty of connectors for ingesting data into platform. Best-in-class data transformation and distribution tools.
On the flip side, there is a lack of community support (being a smaller BI vendor, there are not a lot of resources). It's hit or miss when it comes to connectors for newer software/applications." - Review by Elliott L., Senior BI Engineer on G2.
Their credit-based pricing structure (by data storage/refresh/ETL needs) is rather mysterious. You'll need to get in touch with sales for a proper quote, but users say it's expensive and not transparent.
Best for: complex data integrations and a code-oriented approach to embedding
Compared to many other players on this list, Sisense positions itself as an analytics platform focused on embedding. They pride themselves in being highly customizable and scalable, which makes their solution a great fit for enterprise-grade companies.
Compared to other tools like Luzmo, Sisense takes a code-oriented approach to embedded analytics. They have extensive APIs and SDKs available to build out your analytical features. They recently launched their Compose SDK, which developers will enjoy.
On the flip side, the learning curve can be steep, so prepare to dedicate a good chunk of developer time and resources to your analytics project. If you want a low-maintenance solution that lets non-technical people update and create dashboards, Sisense might not meet your business needs.
"Sisense is serviceable. They have some basic widgets and normal reporting capabilities. They listen to us and seem to want to improve. However, there are a ton of limitations, they're always breaking things with updates, rarely fixing what we need them to. They seem to have trouble with multi-tenancy for embedded analytics. The interface is unattractive and hard to customize. They are poor at translations. They have a very limited library of visualizations. They really are a minor league player. I inherited them. Starting to get to the point where it'll be worth the trouble to tear them out and start over." - Anonymous review in Computer Software on G2.
You need to contact sales for a quote, some online sources state $25k/year as the lowest barrier for entry (and that was 5 years ago - so expect prices to have gone up with inflation).
Best for: automated business monitoring and collaborative data storytelling.
Yellowfin is a business intelligence platform that focuses on action-based analytics and automated business monitoring. Its strong collaboration and data storytelling capabilities make it easy to turn data and graphs into compelling stories.
Where Yellowfin really shines is in storytelling. They offer storyboards and timelines to make sharing insights easier. With features like real-time alerting and triggering workflows from a dashboard, their tool makes it easy to take action on insights immediately.
If you want something easier to use than bulky tools like Power BI or Tableau, Yellowfin is a great contender. But if you want very advanced data exploration or customization options, there are better options on this list.
"YF is easy to use for a person with average experience with BI tools and has a number of features such as report broadcasting and storyboards that make it especially interesting for users that need to keep close to their data but have limited time to access a laptop - users that are site managers on the field for example. The possibility to embed reports is great as it enriches our web dashboard and allows users to access most of their data directly from our application.
Setting up reports is still relatively slow and issues like for example editing formulas in CASE statements should be made more simple and faster.
In truth we need to prepare reports for most of our users as they cannot by themselves use many basic functions like defining custom fields. Excel still makes it easier to apply formulas to values in creating new fields." - review by Diogo T., General Manager, on G2.
They offer different pricing models for your specific needs: usage-based, server-based, or even revenue-sharing. None of them are displayed publicly, so you'll need to reach out to their sales team.
Best for: Startups who are focused on quick implementation and launch of in-app analytics
Vizzly offers customer-facing analytics with cloud and self-hosted options that can be embedded using React or HTML components. It's perfect for startups and SaaS platforms that need to quickly embed analytics without the complexities of traditional BI tools. They promise fast implementation and ease of use, allowing teams to embed interactive dashboards and charts with minimal effort.
Vizzly works mostly with pre-built UI components like charts, tables, and filters, to make embedded analytics integration fast and simple. Its API-driven approach allows developers to dynamically customize and control embedded data visualization dashboards. Vizzly supports both basic analytics and real-time data visualization, making it ideal for apps with simpler data analytics needs.
Vizzly is great for speed, but it may not scale well for enterprises with large data warehouses or complex security requirements.
"The dashboards and views are super easy to create plus their data viz is beautiful! The Theme API means we can make this look and feel just like our design system - a big sticking point for me and my frontend developer. However, there’s not ETL at the moment - data needs to be in a good shape going in." - review by Filippo P. on G2
You'll need to get in touch with Vizzly's team since pricing isn't publicly available, and we couldn't find much on the web either. On G2, one of their users highlights transparency about pricing as a potential downside too.
Best for: Dev-oriented teams who need a lot of customization power
Trevor is a BI platform for developers who want to build highly customizable dashboards and reports. It focuses on providing developers with tools to embed advanced analytics seamlessly within their applications.
If you need extensive customization of visual components, from interactive dashboards to drill-down reports, Trevor is a great solution to consider. Its developer-friendly API and SDKs allow teams to tailor the look and feel to match their product’s branding. Trevor also handles features like advanced data filtering, multi-tenancy, and secure role-based access control.
If your app demands highly interactive and customizable analytics, Trevor is an excellent choice. However, you'll need more developer resources compared to low-code solutions. If you want to send in your customer success rep to make a quick update, this is not the tool for you.
"It connects with my database and data stay safe as they don't keep the copy our data. Sometimes it takes time to load otherwise, it's smooth and best." - Anonymous reviewer in accounting on G2.
Trevor's pricing works with credits, which you can use for queries, dashboard refreshes, alerts and data feeds. For small projects, this can be super cost effective, but it's probably not the best solution if you're serving a large customer base that's checking their reports frequently. For $75, you'll get $5,000 credits - or you can sign up for their custom packages starting at $500/month.
Best for: no-code embedded analytics for non-technical users
Sigma is a cloud-based business intelligence platform with a no-code interface for data analysis. It connects directly to cloud data warehouses, enabling real-time data exploration and visualization. You can embed Sigma dashboards into your software products using an iFrame.
Sigma is great to get started quickly with embedded analytics. If you can handle spreadsheets, their no-code interface will feel familiar and intuitive. Integrating analytics into your application is easy and quick, using embedding via iFrame.
At the same time, iFrames are Sigma's biggest downside. There's very little you can customize, and if you're building a modern application, you'll probably favor an approach with web components. If you're looking for more sophisticated styling and customizable embedding, Sigma might not meet your needs.
"Sigma has many features that allow users of all development levels to get the most out of our data. Some of our team members use it to embed dashboards into our production systems, while others use it for basic analysis and reporting. While Sigma is very simple to use, it's sometimes lacking in robust visualization options and the ability to customize how certain aspects of the charts look and feel."
Like with many BI tools, Sigma doesn't publicly show pricing. A quick Reddit research tells us you'll pay at least $30k/year as the base fee to use their platform. It comes with unlimited viewers, but adding more admin users will cost you more.
Picking the right embedded analytics tool sets you up for success. But it doesn't guarantee it. It's like you're buying a top-of-the-line race car with all the horse power and add-ons you need to win a race. If you're a bad driver, you'll still lag behind.
Success is in the implementation, so how do you make sure you make the most of your embedded analytics tools?
In some ways, choosing the right embedded analytics tool is like buying new glasses. Just like your glasses define your appearance, your embedded analytics capabilities will become an integral part of your application. So you'll want them to look perfect, and fit in well with your app's look and feel.
At Luzmo, we help you make your data stick. If your product users need an intuitive way to explore their data quickly, and you don't want to compromise on the experience or look and feel, we can help. With Luzmo, you can create the experience your customers want – whether that's super-advanced data products, AI-powered interfaces or very simple reports – and ship it in days, not months.
And as opposed to some other tools, at Luzmo, you're not alone. We offer a guided onboarding and trainings to help your team launch meaningful client-facing analytics.
Book a demo with our product experts, and see how we help you move the needle.
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.
