Your users want insights, not just data.
You’ve likely built data features into your product, but users still struggle to get answers without exporting everything to a messy spreadsheet.
This frustrates your users and means your development efforts are wasted on features that fail to provide real value or boost user engagement.
When analytics feel disconnected from your core application, user adoption plummets. They see it as a tacked-on feature rather than an integral part of their workflow.
But what if you could deliver powerful analytics that feel native to your app and actually empower your users to explore data themselves?
In this guide, I’ll show you the best embedded analytics software to help you simplify product data and boost user adoption without complex integrations.
You’ll find solutions that reduce development burdens while giving your users the powerful, intuitive data tools they have been asking for.
Let’s get started.
Quick Summary:
| # | Software | Rating | Best For |
|---|---|---|---|
| 1 | Tableau → | Large enterprises & diverse teams | |
| 2 | Power BI → | Growing SaaS product teams | |
| 3 | Qlik → | Scaling SaaS companies | |
| 4 | Sisense → | Technical & non-technical users | |
| 5 | Luzmo → | SaaS companies, low-code teams |
1. Tableau
Struggling to integrate advanced analytics into your product?
Tableau helps you unlock your data’s full potential with agentic analytics, delivering trusted insights effortlessly. This means you can easily embed sophisticated data capabilities without complex development burdens.
You’ll find it empowers non-technical users to generate insights faster, addressing the pain point of evaluation paralysis from conflicting vendor claims. Plus, it supports diverse user personas.
Now, let’s explore the solution.
Tableau’s visual analytics platform transforms how you use data to solve problems, offering intuitive products for limitless data exploration. It’s built to accelerate your analytics journey.
You can deploy Tableau in the cloud, on-premises, or natively integrate with Salesforce CRM for seamless workflows. This enables you to connect to all your data with fully integrated AI/ML capabilities, governance, and data management.
Additionally, Tableau Agent provides a trusted AI assistant to accelerate data-driven decisions. You can breeze through data preparation and create visualizations faster with conversational AI, making data insights accessible for everyone in your product, from analysts to business leaders and developers.
The result is increased efficiency and action.
While we’re discussing enhancing user engagement, understanding a digital adoption platform is equally important for product success.
Key features:
- Agentic Analytics Platform: Fuels faster data, insights, and action by turning trusted insights into autonomous action, anytime, anywhere.
- Intuitive Visual Analytics: Transforms how your product users see, understand, and act on data with built-in visual best practices and limitless data exploration.
- Trusted AI Assistant (Tableau Agent): Accelerates data-driven decisions and helps your team breeze through data preparation and create visualizations faster with conversational AI.
Tableau features, pricing, & alternatives →
Verdict: Tableau stands out as a leading contender for the best embedded analytics software. It delivers trusted insights with agentic analytics and offers robust AI/ML capabilities, empowering Product Managers to enhance product data and boost engagement, as demonstrated by customers like KeyBank, who empowered 10K employees with actionable insights.
2. Power BI
Struggling with complex data integration and analysis?
Power BI helps you infuse rich, interactive visuals into your existing applications, making data accessible. This means you can connect to and visualize any data source seamlessly, simplifying your product’s data capabilities. The result is better decision-making for your users.
Here’s how Power BI helps you uncover powerful insights and turn them into impact. You can bring all your data together to establish a single source of truth within your product, avoiding data silos and ensuring consistency. Additionally, Power BI offers enterprise-grade ingestion and semantic modeling, helping you seamlessly scale your analytics across thousands of users as your product grows. Plus, AI-powered features let you create reports instantly, find patterns in data, and get answers using conversational language, reducing development burdens. The result is quicker insights and improved user engagement.
If you’re also looking into other specialized business solutions, my article on best financial services software covers how to gain efficiency and solidify security.
Key features:
- Embedded BI Reports: Improve usability and user engagement by embedding stunning, interactive reports directly into your applications, customizing them to match your branding.
- AI Capabilities: Leverage easy-to-use AI features, including Copilot, to automatically create reports, summarize data, and write DAX queries in conversational language.
- Unified Data Estate: Connect all your disparate data sources into a single, governed environment, establishing a consistent source of truth for all your product data.
Power BI features, pricing, & alternatives →
Verdict: Power BI stands out as a strong contender for the best embedded analytics software, especially for product teams in SaaS companies. Its ability to seamlessly embed custom, AI-driven reports into your applications empowers non-technical users and supports monetization, as demonstrated by the 321% ROI seen by some businesses.
3. Qlik
Frustrated by product data overload and feature requests?
Qlik Sense is an end-to-end data integration and analytics platform designed to solve these exact issues.
It helps you unify disparate data sources, gain deep insights into user behavior, and enhance your product’s value.
This means you can make better decisions.
Qlik Sense helps you empower your users with relevant, real-time insights embedded directly within your application. This platform enables you to deliver interactive dashboards and reports that mirror your native app design, enhancing user engagement without disrupting workflows.
It facilitates a governed, scalable analytics environment, ensuring data quality and security while supporting diverse user personas. You can reduce development burdens and accelerate time-to-market for new data features, thanks to its robust API and comprehensive integration capabilities. Plus, Qlik allows for data monetization, turning your product’s data into a competitive advantage.
Gain complete control over your product’s data.
While we’re discussing how embedded analytics helps boost your product, understanding how ecommerce analytics tools can specifically impact online business growth is also valuable.
Key features:
- End-to-end data integration and analytics platform: Connects disparate data sources and provides comprehensive tools for data preparation, analysis, and visualization.
- Empowered user experience with embedded insights: Delivers interactive dashboards and reports seamlessly integrated into your existing application, matching native app design.
- Governed, scalable, and monetizable analytics: Ensures data quality, security, and the ability to monetize your product’s data for enhanced value.
Qlik features, pricing, & alternatives →
Verdict: Qlik Sense stands out as a strong contender for the best embedded analytics software, especially if you need to unify complex data, offer powerful user-facing analytics, and accelerate your product development. Its ability to support data monetization and reduce development burdens makes it highly suitable for growing SaaS companies.
4. Sisense
Struggling to integrate powerful analytics into your product?
Sisense delivers an AI-powered analytics platform focused on effortless modeling, visualizing, customizing, and embedding capabilities.
This means you can build end-to-end analytics experiences without the usual complexity, reducing development burdens and accelerating your product’s data capabilities.
Empower your non-technical users.
Sisense Intelligence helps your app creators and developers deliver smarter, embedded analytics with AI-driven features. This allows users to make better, faster decisions right where they work.
Their Compose SDK and embeddable components make it easy for your developers to integrate AI-powered analytics into any app, delivering a seamless experience for your users without needing data science expertise. Additionally, features like assistant and narrative enable natural-language exploration and auto-generated summaries, making insights accessible to every user, technical or not, and accelerating innovation with predictive analytics through forecast and trend features.
This helps your users stay ahead of the curve.
Key features:
- AI-powered platform: Model, visualize, customize, and integrate analytics effortlessly, making complex data accessible and actionable for all your users.
- Composable and embeddable: Easily integrate AI-powered analytics into your existing applications with Compose SDK and embeddable components, delivering a seamless user experience.
- Natural language insights: Enable natural-language exploration and auto-generated summaries with Sisense Intelligence, empowering non-technical users to quickly derive insights.
Sisense features, pricing, & alternatives →
Verdict: Sisense stands out as a strong contender for the best embedded analytics software by addressing key pain points like integration complexity and user adoption. With its AI-powered features, intuitive tools, and focus on delivering insights to both technical and non-technical users, Sisense empowers your product managers and technical leads to enhance data capabilities and drive engagement within your SaaS products.
5. Luzmo
Tired of underperforming dashboards in your product?
Luzmo helps you ship unique, immersive client-facing analytics with minimal effort.
This means you can build and launch smarter, giving your engineers their sanity back.
Transform your product’s data experience today.
Luzmo empowers you to bring your data to life, eliminating the headache often associated with building analytics.
Their platform offers embedded analytics for tailored dashboards with minimal effort, and an embedded dashboard editor for self-service functionality. This helps you build innovative data experiences and integrate AI insights for every customer.
Additionally, Luzmo Studio enables drag-and-drop dashboards for teams without heavy dev resources, while Luzmo Flex provides a code-first SDK for full control. Plus, Luzmo IQ adds AI-powered insights, like natural language chat with data.
Impress users with charts that feel native.
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Key features:
- Embedded Analytics Studio: Create and embed tailored, native-feeling dashboards with drag-and-drop simplicity, significantly reducing development effort and empowering non-technical users.
- Luzmo Flex & IQ: Build fully custom data experiences with a code-first SDK for developers, combined with AI-powered insights and natural language data chat for end-users.
- Composable Platform & Data Connectors: Mix and match building blocks to fit your product, connecting to your data from anywhere, ensuring flexible and scalable analytics.
Luzmo features, pricing, & alternatives →
Verdict: Luzmo simplifies embedding sophisticated analytics, addressing core pain points for Product Managers seeking the best embedded analytics software. It’s built like LEGO, offering composable elements for both low-code and code-first approaches, ensuring rapid implementation and exceptional user experiences. This focus on ease of use and flexibility makes it an ideal solution for SaaS companies.
6. RevealBI
Struggling to integrate powerful analytics into your app?
RevealBI helps you deliver flawless data integrations and visualizations within your software, ensuring a truly native experience. This means your product managers can confidently compare tools, knowing RevealBI prioritizes ease of use.
You can transform your product data into actionable insights without the usual integration complexities, addressing critical decision-making pain points effectively. Here’s how to simplify your product data.
RevealBI solves the problem of evaluation paralysis by offering a purpose-built embedded analytics solution.
It provides a true embedded SDK that integrates directly into your application, giving you full control over branding and functionality. This allows for effortless integration and rapid deployment, so you can go live in weeks, not months. Additionally, RevealBI’s fixed pricing model means you can scale with unlimited users and no hidden costs, freeing you from rising price traps as your user base grows.
The result is a solution that feels native, enhancing user engagement and trust.
While we’re discussing software and product development, you might also find my analysis of best Autodesk partner helpful for design and support needs.
Key features:
- True embedded SDK: Integrates analytics directly into your application, providing total flexibility for branding, deployment, and functionality, unlike hosted iFrame solutions.
- Easy setup & speed-to-market: Go live in weeks with plug-and-play SDK, native frameworks, and an intuitive drag-and-drop dashboard designer for faster development cycles.
- Fixed pricing forever: Scale confidently with unlimited users and predictable costs, ensuring your expenses remain flat even as your user base grows.
RevealBI features, pricing, & alternatives →
Verdict: If you’re seeking the best embedded analytics software that simplifies integration, offers predictable costs, and significantly boosts user engagement, RevealBI is an excellent choice. Its true SDK and fixed pricing model, with a reported +50% user engagement, empower product managers to deliver secure, on-brand analytics for diverse use cases like Healthcare and Retail.
7. Qrvey
Tired of complex embedded analytics?
Qrvey offers a massively scalable, multi-tenant analytics software for SaaS teams.
This means you can deliver better analytics faster than ever and save hundreds of developer hours.
Achieve effortless insights with GenAI.
Qrvey helps you simplify product data and boost engagement through a full-stack, multi-tenant analytics layer. This solution is designed to be 10x faster than building an analytics layer in-house, featuring an enterprise-grade data lake for complete data management. You can also expect embedded data visualizations that are 100% embeddable and allow for personalized user experiences.
Additionally, Qrvey supports a unified data pipeline, letting you move data into their native data lake and eliminate the need to develop custom ETL processes for each data source. Plus, you get unlimited deployments that integrate with your CI/CD processes, ensuring every lower dev environment matches production. The result is enterprise-scale analytics at a fraction of the cost, using a data lake powered by ElasticSearch.
Your users deserve actionable insights.
While we’re discussing product data, understanding graph database platform is equally important for deeper insights.
Key features:
- Massively scalable, multi-tenant architecture: Designed for growing SaaS companies, ensuring high performance and security across diverse user bases while optimizing cloud infrastructure costs by 50x.
- Full-stack data management and visualization: Includes a complete data layer with an enterprise-grade data lake, semantic layer for governance, and 100% embeddable, white-labeled data visualizations.
- Developer-ready and AI-powered capabilities: Offers a unified data pipeline for easy integration, supports unlimited deployments, and supercharges customer-facing analytics with Generative AI for effortless insights.
Qrvey features, pricing, & alternatives →
Verdict: Qrvey stands out as a strong contender for the best embedded analytics software for SaaS companies, offering features like multi-tenant analytics and Generative AI. Product managers will appreciate its ability to achieve 70% user adoption among large enterprise users, allowing them to go to market quickly and deliver immediate insights to customers.
Conclusion
Struggling to deliver real user insights?
I understand. Choosing the right platform feels overwhelming when you need a tool that integrates seamlessly without disrupting your product’s core user experience.
This decision is critical. When analytics feel disconnected, user adoption plummets, and your development efforts are completely wasted on features that fail to deliver true value or engagement.
So, here is what I recommend.
From my extensive review, MicroStrategy stands out by embedding powerful, AI-driven analytics that feel truly native to your app, solving the integration challenge.
I was especially impressed by its HyperIntelligence feature, which brings zero-click insights directly into your team’s workflows. It’s the best embedded analytics software for empowering non-technical users.
I highly recommend you start a free trial of MicroStrategy to see how it can transform your product’s data capabilities firsthand.
You’ll finally deliver insights, not just data.
