Top 9 Embedded Analytics Platforms

Choosing the right embedded analytics platform for your business needs is paramount. With its robust capabilities to expand your business, add value to your customers, and ultimately grow your profits, embedded analytics solutions are becoming essential for businesses that want to be able to survive in the market. 

We know that in today’s highly competitive business environment and flooded markets, choosing an embedded analytics vendor for your business needs could be quite overwhelming, and to help you make the best choice, we’ve compiled this list of the top 9 embedded analytics platforms. 

What Are Embedded Analytics Platforms?

An embedded analytics platform is when the solution is built to integrate seamlessly into existing business applications such as CRM, ERP, etc. Embedded analytics platforms are a set of business intelligence (BI) capabilities and data visualization tools designed to deliver real-time reporting and advanced analytics, including machine learning and AI (artificial intelligence), to users, providing them with insights in the context of their workflow.  

The primary purpose of the embedded analytics platforms is to provide data and insights in a simple and easy-to-understand way so that all users, including those with no analytic knowledge or skills, can use it to guide their decision-making.  

Embedded Analytics Benefits

Adding embedded analytics to your software comes with tremendous benefits. It helps end-users  
explore data and uncover valuable insights without the assistance of data analytics experts or ITs. Embedded analytics platforms also remove the need to switch between multiple apps to find their answers. Instead, users can look at key business data in context, increasing their productivity and efficiency. In addition, in-context analytics enables users to make better and smarter decisions that are backed up by data. This is one of the biggest embedded analytics benefits, as data is more legitimate and solid than a gut feeling. When users can access up-to-date data, they can act at the moment of impact and never miss an opportunity.  

Moreover, embedded analytics can help you grow your profits and even become an additional revenue stream.  

Top 9 Embedded Analytics Platforms

1. Reveal

Overview: Reveal is built from the ground up for embedded analytics and provides a fully customizable self-service BI solution. Unlike most embedded analytics solutions that rely on simple iFrames within a Web View, Reveal is a true embedded analytics SDK; you get complete control over your own app experience – which features to show and hide, how your dashboards are branded, how security is implemented, and where your app is deployed. 

Key Features: Reveal offers a suite of features that provide complete control and flexibility. A powerful API and native SDK support that enable seamless integration into your application, ensuring a truly native experience. With cross-platform compatibility and scalability, Reveal adapts to your technology requirements. Its intuitive drag-and-drop interface, customizable themes, and simplified dashboard editing make data exploration effortless. Developers benefit from SDK flexibility, with the power to create custom visualizations and fine-tune security settings.

Why Choose Reveal: Partner with Reveal for seamless integration of native SDK into your applications, allowing analytics to be quickly incorporated on any platform or tech stack. Reveal offers flexibility and security, with the ability to deploy on various servers, connect to various data sources, and maintain a high level of security within your application’s code. It also offers one single, simple, and affordable price point that enables you to reach unlimited users per application.

See Reveal in Action

2. Looker

Overview: Acquired by Google in 2019, Looker is a browser-based, business intelligence platform that helps collect, analyze, and visualize raw data. Looker analytics works only with SQL based data sources, which means that it can integrate with any SQL database or data warehouse, such as Microsoft Azure SQL Data Warehouse, Amazon Athena, and Greenplum. If you have your data stored elsewhere, Looker will need to put some form of an SQL database to query against. 

Features: Looker’s key features include data discovery, data exploration, fully customizable and exportable reports, charts and graphs, pre-built data models, and strong collaboration features. Looker has its own proprietary modeling language called LookML that you must learn before creating data visualizations.  

Also, Looker provides PDT (Persistent Derived Table) that can be used for some data preparation use cases, but it doesn’t support incremental and dependent materialization. 

Why Choose Looker: Choose Looker as your embedded analytics platform if you have your data stored in a SQL database or/and if you are looking for a solution that is 100% web-based.  

3. Toucan

Overview: Toucan Toco is a cloud-based platform that empowers businesses to explore their insights through visualizations and interactive dashboards. The platform specializes in data storytelling, data analysis, and managing projects. 

Features: Toucan offers Toucan AnyConnect, which lets you connect easily to hundreds of data connectors. It also offers Toucan YouPrep for faster data preparation eliminating the need for buying a separate ETL tool. Other key features include drill-down, data filtering, real-time and customizable reporting, instant messaging, and project management.  

Why Choose Toucan: Great features, and it’s easy to use. One of the platform’s greatest strengths is its flexibility to work with users’ data no matter where it’s stored. 

4. Sisense

Overview: Sisense is a self-service analytics and reporting tool that lets anyone create interactive dashboards & reports in minutes. 

Features: Sisense provides robust Bi features such as low-code and no-code tools, augmented analytics, data unification, data mash-up, drag-and-drop dashboard creation functionality, and in-chip technology for data processing.  

Why Choose Sisense: Faster time to insights thanks to the innovative in-chip technology to easily process volumes of data coming from many data sources and top-notch customer support. 

5. Logi Analytics (InsightSoftware)

Overview: Formerly known as LogiXML, Logi Analytics is a web-based business intelligence solution that connects to a range of data sources, on-premise, and in-cloud, to source and optimize business-specific data. 

Features: The key features of Logi Analytics include interactive data analytics and visualizations, advanced reporting, self-service, and data discovery capabilities. Another feature that sticks out is the ability to customize the solution on many levels, including dashboards and charts. Users can also access style sheets and add their own CSS and JavaScript to reports.  

Why Choose Logi Analytics: It has robust API capabilities and customization options, great security, and it supports a variety of operating systems, including Linux and mobile. 

6. Tableau

Overview: Tableau is a BI system that offers a couple of services for data analytics, including Tableau Desktop and Tableau Server. Tableau Desktop is a self-service analytics solution that lets users look at data and answer questions. Tableau Server enables users to publish dashboards from Tableau Desktop on any web browser or mobile-based device. In 2019, Tableau got acquired by Salesforce.  

Features: Interactive data visualizations, drag-and-drop functionality, native data connectors, data column filtering, big data services, auto modeling, and self-service capabilities.  

Why Choose Tableau: It is one of the early players in the ABI space. It’s this maturity that makes it so appealing to many users and is one of the reasons why Tableau has such a large community.  

P.S. Tableau’s embedded capabilities are not as smooth as you would expect. Integrating Tableau into your application is both a financial and technical challenge.  

7. Power BI

Overview: Microsoft Power BI is a cloud-based BI and analytics service that works through two products: Power BI Desktop and Power BI Mobile. The Power BI Embedded solution allows businesses to embed Power BI dashboards and reports within their applications.  

Features: Power BI’s primary features are datasets, dashboards, and reports. The solution offers additional features: online analytical processing, a navigation pane, flexible tiles, a Q&A question box, and Office 365 app launcher.  

Why Choose Power BI: Familiar and easy-to-use interface similar to Excel with the ability to combine power analytics with a user-friendly UI and great data visualization capabilities.  

8. Luzmo

Overview: Formerly known as Cumul.io, Luzmo is an embedded analytics platform purpose-built for SaaS companies. 

Features: Luzmo offers a range of features designed to enhance data analysis and visualization capabilities. Among its key offerings are features and functionalities, including interactive data visualization, intuitive drag-and-drop, automated data modeling, and self-service functionalities empowering users to derive insights independently. Luzmo also provides a wide range of data connectors for seamless data integration and data column filtering for precise analysis.  

Why Choose Luzmo: Luzmo provides ease of use and a wide range of options to support multi-tenant integrations. To automate data preparation, you can also integrate your AI solutions, such as OpenAI GPT4 and PaLM.    

9. Qrvey

Overview: Qrvey embedded analytics is a versatile self-service solution empowering users to analyze data and derive actionable insights. It operates as a hosted SaaS solution, relying on iFrame or an Embed approach but remaining hosted (resulting in higher costs). 

Features: The features that Qrvey offers to enhance data analysis include intuitive data visualizations, advanced analytics capabilities, seamless data integration with native connectors and APIs, data filtering options, support for big data processing, machine learning, and self-service functionalities for users of all skill levels. 

Why Choose Qrvey: Leveraging the full AWS ecosystem, Qrvey is tailored for customers seeking to deploy analytics experiences solely within an AWS environment. 

Final Thoughts…

As we compiled this list to guide you in the right direction, we encourage you to save some time to explore these top embedded analytics platforms deeper. If applicable, sign up for a demo, share it with your team for feedback, and find out which solution best fits your business needs.  

In the process of choosing, bear in mind that the features are not all that matter. Pay close attention to the supported data sources and visualizations, the application architecture, the vendor’s roadmap, and the support options available. And last but not least, be careful with the vendor’s pricing model. Most embedded analytics vendors keep their pricing a secret and charge you unpredictable costs like usage and users. We recommend looking for a 100% transparent pricing model (fixed pricing that won’t come with any surprises, hidden fees, usage, or user tiers) that won’t escalate as your app sales increase.