Introduction:
Were you aware that businesses that use embedded analytics might see a 42% increase in user retention? How could this impact your platform?
In 2025, businesses no longer win just by focusing on features alone. They, however, win by making data easy to understand, invisible, and actionable within several applications which people use.
This blog will cover the embedded analytics tools extensively that are defining the future and will enhance your digital experience.
Since every analytics project which involves the customers is unique, some of these situations may call for embedded analytics tools and strategies.
You are in the perfect place if:
- You have a project to incorporate data visualisations, such as reports, dashboards, etc., for your customers into your applications
- You have not yet chosen any tool or strategy
So, let us save your time and help you in selecting the best suitable embedded analytics tools for you.
The 2025 Best Embedded Analytics Tools
With embedded analytics tools, SaaS organisations can provide self-service and configurable analytics within their applications.
The following are the best researched and key embedded analytics tools which are built specifically for customer-facing analytics:
- Embeddable
One of the developer’s first embedded analytics tools, Embeddable, helps create quick dashboards which are visible to customers.
The following are the key features of Embeddable:
2. Headless Architecture
To create an ideal experience for your customers, you can embed any chart which you may imagine by using this unique feature of headless architecture. You can even add charts from another library or modify the already listed charts.
3. No-code builder
You can use an intuitive interface to let non-technical teams create and modify dashboards.
4. Full control of UX and UI
As you have complete control of your coding, you can make the product feel like it is your own design by using your own design system.
5. Fast and secure embedding
This gives you more control as it allows bidirectional communication with your application.
Ideal for:
Embeddable is perfect for customers who want complete control and customisation.
Considerations:
6. Method of embedding
It uses a web component (or native react) which enables the users to embed it in any frontend, such as Angular, Vanilla JS, etc., or through a web view.
7. Performance
The users can attain a sub-second loading speed as the tool uses a performant data service and two layers of caching.
8. Freedom of customisation
As the tool provides unlimited freedom of customisation, you can achieve whatever you come up with. Moreover, your customers will also receive customisable dashboards on their end.
9. Options for hosting
It provides self-hosting only for enterprises and cloud-hosting options for hosting.
10. On-Request pricing
The monthly subscriptions are free. However, there are a few options for annual alternatives.
11 . Compatible data sources
Some of the compatible data sources of the tool are Amazon Athena, Google BigQuery, Microsoft SQL, Snowflake, etc.
(Source: https://embeddable.com/blog/top-embedded-analytics-platforms-for-user-facing-analytics)
- Sisense
Sisense is made especially for analytics that interacts with the customers, as it is one of the most developed embedded analytics tools. It has all the security certifications, documentation, and a community.
The following are the key features of Sisense:
- The dashboard can be customised with several widgets.
- SDKs and APIs are designed while keeping the developers in mind.
- Scalable architecture that is appropriate for big datasets.
Ideal for:
Sisense is perfect for businesses which need scalability and customisation in their analytics solutions.
Considerations:
- Method of embedding
It uses the iframe embedded method of embedding.
2. Performance
As Sisense has many features, it helps in improving the loading speed for its users, including pre-aggregations, in-memory cache, etc.
3. Freedom of customisation
The users can use colour, fonts, and themes on several charts.
4. Options for hosting
It allows cloud-hosted as well as self-hosted options for hosting for the users.
5. On-Request pricing
This feature offers on-request pricing based on your configuration or needs.
6. Compatible data sources
Some of the compatible data sources of the tool are Excel, Google Sheets, Oracle, MySQL, Athena, etc.
(Source: https://www.holistics.io/bi-tools/embedded-analytics)
- Luzmo
Originally called Cumul.io, Luzmo is one of the innovative embedded analytics tools for SaaS products. It is designed for statistics and offers several charts with customisable options in a user-friendly interface.
The following are the key features of Luzmo:
- An easy-to-use interface with drag-and-drop functions.
- Quick deployment and fast coding.
- Themes can be customised for the application branding.
Ideal for:
Luzmo is perfect for SaaS companies that are looking for a fast integration of analytics features.
Considerations:
- Method of embedding
It uses a web component that renders as HTML in the DOM.
2. Performance
The dashboards load quickly with their CDNS and caching options.
3. Freedom of customisation
The tool provides a collection of charts, but with fewer options for changing the colours and fonts. Moreover, removing the Luzmo brand from the chart comes with a cost.
4. Options for hosting
The tool allows only a cloud-hosting option for the users.
5. On-Request pricing
White-label prices start at around $2,000 per month and increase based on the users and the usage of the tool.
6. Compatible data sources
Some of the compatible data sources of the tool are Google Analytics, AWS Athena, Databricks, Presto, etc.
(Source: https://qrvey.com/blog/best-embedded-analytics-tools)
- Vizzly
A new embedded analytics tool in the market, Vizzly is a low-code tool to integrate customer-friendly analytics in your applications. While it recently took down the price on its website, it also intentionally does not focus on the iframe.
The following are the key features of Vizzly:
- SDKs for several languages which are used in different programming.
- Visuals and reports can be customised.
- Role-based access controls for handling the data securely.
Ideal for:
Vizzly is perfect for developers who want to balance between customisation and unconventional functionality.
Considerations:
- Method of embedding
HTML or React Native are the tool’s methods of embedding.
2. Performance
It provides fast loading with clever implementation. This is because it depends on the users for performance, as it allows them to decide between the fields to groups, and the Docker images do not execute any of the queries.
3. Freedom of customisation
The tool provides a collection of charts with fewer options to change the fonts and colours. Moreover, the end users get the option of customisation.
4. Options for hosting
The tool is available only for self-hosting. However, a cloud-hosting option is also made available on AWS, Google Cloud Platform, and Azure.
5. On-Request pricing
The tool recently lowered the price on its website.
6. Compatible data sources
Some of the compatible data sources of the tool are Redshift, MySQL, Snowflake, MariaDB, etc.
(Source: https://embeddable.com/blog/top-embedded-analytics-platforms-for-user-facing-analytics)
- Explo.co
Explo is one of the best-suited embedded analytics tools for start-ups as it is backed by a YC-backed start-up. Explo has all that you require if you really need what they have.
The following are the key features of Explo:
- The dashboards with high performance are optimised for the end users.
- Smooth interactions with modern technology stacks.
- Components that can be customised to fit the aesthetics of the applications.
Ideal for:
Explo.co is perfect for start-ups and businesses that are willing to add responsive analytics functions to their customer-facing applications.
Considerations:
- Method of embedding
The tool uses the iframe or web component method of embedding.
2. Performance
For fast data replies, Explo offers dashboard-level caching and an in-memory cache driven by Redis.
3. Freedom of customisation
The users are required the use the charts available with themes and colours as the tool gives a limited customisation freedom.
4. Options for hosting
As there are no self-hosting options, the tool only provides cloud-hosting options for hosting.
5. On-Request pricing
Explo is a free tool, but you may need to pay fees for specific services.
6. Compatible data sources
Some of the compatible data sources of the tool are SingleStore, Postgres, Parade DB, Cube, etc.
(Source: https://www.holistics.io/bi-tools/embedded-analytics/)
- RevealBI
Developed as a traditional BI tool, RevealBI now focuses on being a customer-facing embedded analytics tool. The tool is categorised into a custom-built solution for the customers that blends in perfectly with the applications.
The following are the key features of RevealBI:
- Dashboards that are interactive as well as update data in real time.
- SDKs can be customised for specific integrations.
- A flexible option for deployment for different IT Infrastructures.
Ideal for:
RevealBI is perfect for businesses that are looking for a flexible analytics solution with various hosting options.
Considerations:
- Method of embedding
The tool uses iframe or their SDK as a method of embedding.
2. Performance
It offers the users a caching layer to enhance the performance. Despite this, the tool’s drawback is that it loads slowly.
3. Freedom of customisation
It provides a limited number of charts and customisation, including the setup of colours, themes, and fonts. However, there is no customisation available for coding.
4. Options for hosting
The tool provides cloud-hosting and self-hosting options for hosting.
5. On-Request pricing
An on-demand, fixed and annual pricing is available.
6. Compatible data sources
Some of the compatible data sources of the tool are Google Drive, Google Sheets, MongoDB, Jason, etc.
(Source: https://www.itpro.com/cloud/live/google-cloud-next-2025-all-the-news-and-updates-live)
- Power BI
While Power BI is a popular tool, anyone who is familiar with Office may use this embedded analytics tool with ease. Power BI Embedded is a Microsoft Azure solution which enables users to include the tool’s analytics into applications as well as websites.
The following are the key features of Power BI:
- Interactive reports and dashboards
- Updates to the data in real time
- Personalised themes and branding
- Row-level security to manage data access
- Able to accommodate thousands of users
Ideal for:
Power BI is perfect for companies that want to include dynamic and rich visualisations in their applications, particularly those that are already using the services of Microsoft Azure.
Considerations:
- Method of embedding
The iframe is the method of embedding.
2. Performance
As queries and big databases can take a while to load, this can be one of the drawbacks of Power BI, as reported by the users.
3. Freedom of customisation
There is a very few options for customisation. As a result, you can only add a logo and change the fonts and colours.
4. Options for hosting
This tool is a cloud service run by Microsoft.
5. On-Request pricing
It allows pay-as—you-go pricing, which means that you can pay for the RAM and gigabytes that you utilise.
6. Compatible data sources
Some of the compatible data sources of the tool are Google Analytics, Excel, PDF, CSV, etc.
(Source: https://azure.microsoft.com/en-us/products/power-bi-embedded)
- Tableau
This tool is known for its potent BI tool, which offers data research depth that is unmatched by other similar BI tools. It is one of the embedded analytics tools that has more users for data teams despite having a steep learning curve.
The following are the key features of Tableau:
- Advanced features of data visualisations
- Exploration of data in real time
- Customisable dashboards
- Strong governance and security systems
Ideal for:
Tableau is perfect for companies that want to provide interactive and user-friendly data exploration abilities in their customers’ applications.
Considerations:
- Method of embedding
The tool uses an iframe method of embedding.
2. Performance
While the users report on varying performance, there is no mention of the caching features of different documents.
3. Freedom of customisation
There are many installed functions, and their configuration may be overwhelming. Furthermore, the users cannot add their desired custom designs and alter the charts in the code.
4. Options for hosting
Tableau provides self-hosting and cloud-hosting options.
5. On-Request pricing
The cost for the tool’s license is $420, which is only for annual billing.
6. Compatible data sources
Some of the compatible data sources among various of the compatible sources of the tool are Google Cloud SQL, OneDrive, Google Drive, Microsoft excel, Microsoft Access, Box, Presto, Text File, etc.
(Source: https://www.tableau.com/products/embedded-analytics)
- Looker
Looker Embedded is a BI platform which a part of Google Cloud Core. It is one of the embedded analytics tools that enables users to develop highly secure loading user-friendly analytics for their end users.
The following are the key features of Looker:
- Dashboards and applications with unique interactive features
- Git integration and version control
- Workflows that are automated
- Trustworthy insights in real time
- Secure row-level security for data access
Ideal for:
Looker is perfect for companies that need to provide customised data experiences in their applications and have strong data control.
Considerations:
- Method of embedding
Looker offers an iframe method of embedding.
2. Performance
The performance is influenced by various factors.
3. Freedom of customisation
As there are limited customisation options, the users can only change fonts and colours, and add their desired logos. As a result, you are forced to choose charts from their collection.
4. Options for hosting
The tool offers both cloud-hosting and self-hosting options for hosting.
5. On-Request pricing
The costs vary based on the users and their permissions.
6. Compatible data sources
Some of the compatible data sources of the tool are IBM DB2, Greenplum, Netezza, Vertica, etc.
(Source: https://cloud.google.com/looker-embedded)
- Metabase
Metabase is a well-known internal business embedded analytics tool, as it has gained popularity for its open-source solutions. It offered teams access, which is an inexpensive and user-friendly business choice for internal data analysis. However, teams now completely embed BI within their applications.
The following are the key features of Metabase:
- Intuitive UI that does not require SQL
- Customisable dashboards
- Scheduled reports through emails
- Interactive drill downs and filters
Ideal for:
Metabase is perfect for businesses that are looking for an open-source and cost-effective way of delivering integrated analytics without requiring a large number of resources.
Considerations:
- Method of embedding
Metabase also uses the iframe method like some of the other above-mentioned tools.
2. Performance
This tool provides result and model caching to speed up the tool’s loading.
3. Freedom of customisation
The tool only lets you embed individual charts rather than the entire dashboards as they recently released their SDK in beta to give more power to the users.
4. Options for hosting
It includes cloud-hosting or self-hosting options.
5. On-Request pricing
The white label options begin with a price of $500 per month plus $10 for each user.
6. Compatible data sources
Some of the compatible data sources of the tool are BigQuery, Amazon Redshift, SQLite, MariaDB, etc.
(Source: https://www.metabase.com/glossary/embedded-analytics)
- Sigma
Sigma is an internal business embedded analytics tool that is made for working in a cloud setting. IT allows you to incorporate the dashboard that the users created into their different applications.
The following are the key features of Sigma:
- Drill-down abilities combined with dynamic data exploration
- No-code options for customisation
- Smooth incorporation into the website applications
- Updates to the data in real time
Ideal for:
Sigma is perfect for organisations that wish to give their customers access to interactive data tools integrated into their current platform.
Considerations:
- Method of embedding
This tool needs you to embed an iframe method of embedding. However, you need to create a back-end API to connect.
2. Performance
The company claims to offer quick loading despite the customers’ divided experiences.
3. Freedom of customisation
Sigma provides restricted customisation although the users can build teams which allow them to change borders, fonts, colours, and other functions, modify the charts, as well as add transitions or interactions, as they cannot edit the code.
4. Options for hosting
It provides only a cloud-based SaaS option for hosting.
5. On-Request pricing
The tool generally provides a price on a per-subscription basis.
6. Compatible data sources
Some of the compatible data sources of the tool are AlloyDB, Databricks, Starburst, Snowflake, etc.
(Source: https://help.sigmacomputing.com/docs/intro-to-embedded-analytics)
- GoodData
GoodData is one of the embedded analytics tools, which allows its users to take the dashboard that they create into an application. It is one of the tools that can be repurposed to embed as a web component instead of embedding itself in an iframe.
The following are the key features of GoodData:
- Architecture that is scalable for a big data user base.
- Components for analytics that are customisable.
- Strong compliance and security features
- Processing data in real time
Ideal for:
GoodData is perfect for those organisations that want to include an in-depth analytics into their applications, particularly with large and varied user databases.
Considerations:
- Method of embedding
The tool offers various methods of embedding, including JavaScript SDK, iframe, and web components.
2. Performance
It uses the FlexCache, one of the primary caching methods, as it helps in speeding up the loading by storing queries in its memory.
3. Freedom of customisation
The tool provides a small collection of charts with fewer options for customisation.
4. Options for hosting
The options for hosting are self-hosting and cloud-hosting.
5. On-Request pricing
While the pricing is available on request, it is confirmed that the pricing adjusts with the consumption of the tool.
6. Compatible data sources
Some of the compatible data sources of the tool are FlexConnect, Apache Drill, Microsoft SQL Server, ClickHouse, etc.
(Source: https://www.gooddata.com/blog/what-embedded-analytics/)
- Trevor
Trevor is a business embedded analytics tool which allows technical non-team members to do their own reporting even if they are not familiar with SQL. As Trevor provides a free tier which can be used by simply logging in, users can register and conduct a proof of concept without having to deal with sales.
The following are the key features of Trevor:
- Dashboards that are interactive and adaptable
- Iteration and setup without any coding
- Quick integration into applications
- Display of data in real time
Ideal for:
Trevor is perfect for the teams that are looking to deploy embedded analytics rapidly and without requiring a lot of development work.
Considerations:
- Method of embedding
Trevor used an iframe or a basic JS snippet method of embedding, allowing you to incorporate your dashboard into any of the front-end applications with limited technical work.
2. Performance
The tool can respond quickly as well as load quickly, as Trevor calls your database directly. However, if your server takes a while to respond, it may load slowly.
3. Freedom of customisation
As there is restricted customisation, the colour scheme of the brand can be used. However, CSS does not allow you to alter any of the charts.
4. Options for hosting
It offers both cloud-hosting and self-hosting options for hosting.
5. On-Request pricing
The tool offers a free tier with 3,000 credits per month.
6. Compatible data sources
Some of the compatible data sources of the tool are SQL Server, Amazon Redshift, PostgreSQL, MariaDB, etc.
(Source: https://trevor.io/, https://www.producthunt.com/products/trevor-io)
- Qlik
As a suite of one of the embedded analytics tools, Qlik is based on a core BI tool. The tool has the same embedding limitations as other tools, since it was first developed for internal BI before being repurposed.
The following are the key features of Qlik:
- Dashboards that are interactive and adaptable
- Processing data in real time
- Advanced features of data integration
- Strong compliance and security features
Ideal for:
Qlik is perfect for businesses that wish to include inclusive, interactive as well as data insights in real time into their applications for the users.
Considerations:
- Method of embedding
The tool has an iframe method of embedding.
2. Performance
The loading speed of the tool depends on the pricing plan. For instance, Rolls-Royce engine can only be used with an enterprise plan.
3. Freedom of customisation
There is no availability of applying your own design system or change the code. However, the tool offers a small selection of charting options.
4. Options for hosting
Options for hosting include self-hosting and cloud-hosting.
5. On-Request pricing
Qlik offers a $30,000 fee per year for a platform that includes 1,00,000 viewers and a 50 GB annual data cap. You need to upgrade to the enterprise plan to take full advantage of the tool.
6. Compatible data sources
Some of the compatible data sources of the tool are Apache Hive, Cloudera Impala, Microsoft SQL Server, Sybase ASE, etc.
(Source: https://qrvey.com/blog/looker-embedded-analytics)
- Domo
Domo, which has been around for a while, is an internal business embedded analytics tool. It has a wide range of features and a strong infrastructure. However, due its unique design, Domo has certain restrictions that are comparable to those of other BI tools.
The following are the key features of Domo:
- A wide range of choices for data visualisations
- Updates to the data in real time
- Dashboards that are customisable
- Strong features for data governance
Ideal for:
Domo is perfect for businesses that want to give their users thorough data insights in real time within their current applications.
Considerations:
- Method of embedding
The tool offers an iframe embedding with JS controls as a method of embedding.
2. Performance
Domo provides a pre-aggregation option and an in-memory caching for loading quickly.
3. Freedom of customisation
The available collection of charts in the tool, including fonts, logos, colours, and visualisation elements, is not very customisable.
4. Options for hosting
The tool offers only a Cloud SaaS option for hosting.
5. On-Request pricing
Domo provides a credit-based tiered pricing that adjusts based on usage. While the users can quote on an inquiry, each grade offers a different set of security features as well as some of the support options.
6. Compatible data sources
Some of the compatible data sources of the tool are Amazon Athena, Google Big Query, Oracle, Apache Druid, etc.
(Source: https://www.domo.com/embedded-analytics, https://www.graphable.ai/blog/domo-everywhere-domo-embed-guide/)
- Omni
The company behind Looker released an intriguing tool named Omni. The tool offers an embedding option, but its features are limited than those of the other embedded analytics tools.
The following are the key features of Omni:
- Quick implementation with KPI components and embedded dashboards that can be customised
- Analytics for self-service using a Create Mode
- Access controls at the column and row levels are a part of a unified and regulated data model
- Intelligent caching for an incredibly quick loading and loading time of the dashboards
- Compliance with SOC 2, GDPR, and HIPAA. It also includes SSO and granular permissions.
Ideal for:
Omni is perfect for the online platforms and SaaS businesses that are looking for highly configurable, secure, as well as scalable analytics that empower both users as well as developers.
Considerations:
- Method of embedding
The tool uses only the iframe method of embedding, similar to some of the other tools.
2. Performance
As there are very limited user viewers, the performance of the tool needs to be tested as part of the proof of concept.
3. Freedom of customisation
The tool restricts customisation of the dashboard builder’s chart selection.
4. Options for hosting
It offers only a Cloud-based SaaS option for hosting.
5. On-Request pricing
The website does not retain any details on the pricing of the tool. However, it offers a free trial upon request. Moreover, the tool does not have any enterprise price tag.
6. Compatible data sources
Some of the compatible data sources of the tool are ClickHouse, MotherDuck, Microsoft SQL Server, MySQL, etc.
(Source: https://omni.co/blog/create-mode-for-embedded-analytics)
Conclusion
The ability to incorporate user-friendly, strong, as well as adaptable embedded analytics into your applications or software is not just advantageous, but also essential in a time where data powers everything, i.e., from the revenue forecasts to the customer experiences.
This blog has explored 16 of the important embedded analytics tools of 2025 in-depth. Each of these tools offers a special combination of performance, scalability and integration potential.
There is a solution for data strategy and every product vision due to the market’s diversity, including from Omni’s developer-friendly flexibility and Power BI’s enterprise reach.
Not only do the greatest tools have the best embedded analytics and better functionalities. However, they also enable growth with your data goals, self-service exploration, and integrate smoothly into your products.
As a result, we can say that embedded analytics represent the digital future experiences and is not just a trend. With an exploration of the different embedded analytics tools from this blog, boldly integrate, make an informed decision, and provide insights at the current pace.
