Back
3 Best Sigma Embedded Analytics Alternatives or Competitors
Feb 22, 2025
Ka Ling Wu
Co-Founder & CEO, Upsolve AI
Sigma Embedded Analytics is a cloud-based BI tool that helps businesses explore data through an intuitive, spreadsheet-like interface.
It enables real-time data analysis and dashboard creation using cloud data warehouses.
However, businesses often seek alternatives due to pricing, customization limitations, and integration challenges.
Some need more flexible embedding options, better user-facing analytics, or a cost-effective solution.
This guide compares the top three Sigma Embedded Analytics competitors and helps you determine which tool is the best fit based on features, pricing, and key decision factors.
So, let’s check them…
Sigma Embedded Analytics vs Alternatives [Comparison]
Choosing the right embedded analytics solution depends on factors like ease of integration, pricing, scalability, and customization.
Below is a quick-comparison of Sigma Embedded Analytics vs its top three alternatives which are Upsolve AI, Mode, and ThoughtSpot to help you make an informed decision.
Key Takeaways from the Comparison
Upsolve AI is the best choice for customer-facing embedded analytics, offering an easy-to-use, no-code solution that integrates seamlessly into platforms.
Mode is ideal for data teams needing SQL-based analytics with advanced reporting capabilities.
ThoughtSpot excels in AI-powered insights and search-driven analytics, making it great for enterprise use.
By understanding these differences, you can select the best tool based on your specific business needs. And, if you need a scalable, user-friendly, and cost-effective embedded analytics solution, Upsolve AI is the strongest alternative.
Why Look for Sigma Embedded Analytics Alternatives?
While Sigma Embedded Analytics is a popular choice for cloud-based BI and embedded analytics, businesses often encounter limitations that drive them to find alternatives.
Below are some common reasons companies explore better-suited solutions:
1. Pricing Concerns
Sigma Embedded Analytics can be costly, especially for businesses needing scalable embedded analytics.
As usage increases, pricing can become restrictive, making it less viable for startups, SaaS platforms, or companies with budget constraints.
2. Customization and Flexibility Issues
Many businesses require highly customizable dashboards and reports for customer-facing analytics.
Sigma's interface is spreadsheet-like, which may not provide the level of flexibility or branding required for seamless integration into external platforms.
3. Integration Challenges
While Sigma integrates well with cloud data warehouses, it may lack the API-first flexibility that some businesses need for embedding analytics into web apps, SaaS products, or customer portals.
4. Performance and Scalability Concerns
As businesses scale, they need real-time analytics with faster response times.
Some users find Sigma’s performance slowing down when handling large datasets or complex queries, making it unsuitable for highly data-intensive environments.
By considering these limitations, businesses can find a better alternative that aligns with their analytics, embedding, and cost requirements.
Customer Facing Analytics vs Customer Analytics: 9 Key Differences to Know
Top 3 Sigma Embedded Analytics Alternatives in 2025
If you’re looking for a better alternative to Sigma Embedded Analytics, these three tools stand out as the best choices for embedded analytics in 2025:
Upsolve AI – Best for customer-facing embedded analytics
Mode – Best for data teams and SQL-based reporting
ThoughtSpot – Best for AI-driven insights and enterprise-scale analytics
Each of these alternatives offers unique advantages in terms of flexibility, integration, scalability, and pricing. Let’s check their key features, how they compare to Sigma Embedded Analytics, and their best use cases.
1. Upsolve AI
Upsolve AI is a no-code embedded analytics platform designed to help businesses integrate real-time dashboards into their applications seamlessly.
It provides fully customizable, customer-facing analytics, making data insights accessible without requiring coding or SQL expertise.
Key Features of Upsolve AI
1. No-Code Dashboard Builder
Upsolve AI allows users to create fully interactive dashboards without writing a single line of code.
Its drag-and-drop interface makes it easy for non-technical teams to build visually appealing, real-time reports.
2. Real-Time Data Processing
Unlike many BI tools that rely on scheduled data updates, Upsolve AI processes and displays insights instantly. Businesses can access live data anytime, ensuring better decision-making based on real-time information.
3. Fully White-Labeled Embedded Analytics
Upsolve AI offers deep customization for customer-facing analytics, allowing businesses to embed white-labeled dashboards seamlessly.
Unlike Sigma Embedded Analytics, it provides more control over branding, UI, and data access permissions.
4. Seamless Integration with Any Platform
Upsolve AI supports flexible API integrations, enabling businesses to embed analytics into web apps, SaaS products, or enterprise platforms without worrying about compatibility issues.
Pros of Upsolve AI
No-code dashboard builder allows teams to create reports without SQL knowledge.
Fully white-labeled embedded analytics with seamless integration into SaaS platforms.
Real-time data updates ensure users always work with live insights.
Scalable and cost-effective compared to traditional BI tools.
Cons of Upsolve AI
Limited advanced data modeling compared to enterprise BI solutions.
No on-premise deployment since it’s a fully managed cloud-based platform.
Upsolve AI Pricing
Upsolve AI offers affordable and scalable pricing plans tailored to startups, growing businesses, and enterprises:
Launch Plan: $500/month – Best for startups and small teams needing customer-facing embedded analytics.
Growth Plan: $1,000/month – Designed for growing businesses with higher data volume and scalability needs.
Enterprise Plan: Custom Pricing – Created for large organizations requiring full customization and dedicated support.
Compared to Sigma Embedded Analytics, which has higher pricing based on usage and advanced features, Upsolve AI provides a cost-effective, scalable alternative.
Best Use Cases of Upsolve AI
Upsolve AI is ideal for SaaS businesses, enterprises, and customer-facing platforms that need embedded analytics with real-time data visualization
It’s also perfect for companies that prioritize ease of use, scalability, and deep customization.
How Upsolve AI Compares to Sigma Embedded Analytics
Upsolve AI is the best alternative for businesses needing embedded, customer-facing analytics, whereas Sigma Embedded Analytics is more suited for internal data analysis and comes with higher pricing for advanced features.
2. Mode
Mode is an advanced analytics platform designed for data teams and analysts who require SQL-based reporting, Python and R support, and deep customization.
It also enables technical users to build, analyze, and share complex data insights seamlessly.
Key Features of Mode
1. SQL-Based Reporting with Advanced Querying
Mode provides a powerful SQL editor, allowing analysts to write, test, and execute complex queries directly from the platform. This is ideal for businesses that rely on custom data analysis instead of pre-built dashboards.
2. Python & R Notebooks for Advanced Analytics
Unlike Sigma Embedded Analytics, Mode supports Python and R, enabling data scientists to perform statistical modeling, machine learning, and advanced visualizations within the same workflow.
3. Interactive Dashboards & Data Storytelling
Mode allows teams to create highly customizable dashboards, combining SQL queries, Python scripts, and interactive charts to create compelling data stories that drive business decisions.
4. Strong Collaboration & Version Control
With real-time collaboration features, teams can share reports, track version history, and work on queries simultaneously, making it a preferred choice for technical teams managing complex datasets.
Pros of Mode
Powerful SQL-based analytics for advanced data exploration.
Python and R integration for data science workflows.
Highly customizable dashboards with interactive storytelling.
Strong collaboration features for data teams.
Cons of Mode
It may require a steep learning curve for non-technical users.
Heavily dependent on SQL knowledge, making it difficult for beginners.
More suited for internal analytics rather than customer-facing use cases.
Mode Pricing
Mode offers custom pricing based on business needs, but here’s a general breakdown:
Studio Plan – Free
Ideal for individual users and small teams looking for basic SQL-based reporting.
Business Plan – Custom Pricing
Best for growing teams that require collaborative analytics, advanced permissions, and dashboard sharing.
Enterprise Plan – Custom Pricing
Designed for large-scale organizations with dedicated support, advanced security, and scalable infrastructure.
Compared to Sigma Embedded Analytics, Mode offers a free plan but scales quickly in cost for businesses needing enterprise-level analytics and collaboration.
Best Use Cases of Mode
Mode is ideal for data analysts, engineers, and BI teams who require SQL-driven reporting, machine learning capabilities, and advanced data visualization. It’s best for companies that need deep data exploration rather than pre-built embedded dashboards.
How Mode Compares to Sigma Embedded Analytics
Mode is the best alternative for technical teams needing SQL-driven analytics, whereas Sigma Embedded Analytics is more accessible for general business users.
3. ThoughtSpot
ThoughtSpot is an AI-powered analytics platform that enables businesses to explore data using natural language search and AI-driven insights.
It’s particularly designed for enterprises and data-heavy organizations, providing self-service analytics that allows users to ask questions and receive instant insights without writing SQL queries.
Key Features of ThoughtSpot
1. AI-Powered Search-Based Analytics
ThoughtSpot offers a Google-like search interface, allowing users to type natural language queries and get instant visual insights.
This feature makes it easier for non-technical teams to access data insights without relying on analysts.
2. Real-Time Insights & Automated Recommendations
ThoughtSpot’s AI engine continuously scans data, providing real-time trend analysis, anomaly detection, and automated insights.
Businesses can act on data faster, improving decision-making.
3. Seamless Cloud Integration
Unlike Sigma Embedded Analytics, ThoughtSpot is fully cloud-native, integrating with Google BigQuery, Snowflake, AWS, and other data warehouses. It allows businesses to analyze massive datasets in real-time without performance lags.
4. Embedded Analytics & Self-Service BI
ThoughtSpot enables companies to embed AI-powered analytics directly into applications, providing customers and teams with interactive, self-service dashboards that eliminate the need for complex BI workflows.
Pros of ThoughtSpot
AI-powered search analytics makes data accessible without SQL.
It provides fast performance with cloud-native architecture.
Automated insights and trend detection for proactive decision-making.
Seamless integration with cloud data warehouses.
Cons of ThoughtSpot
Premium pricing, making it costly for smaller businesses.
Limited customization compared to traditional BI tools.
More complex setup for embedding analytics.
ThoughtSpot Pricing
ThoughtSpot follows a custom pricing model, with plans tailored to enterprise needs. Here’s the breakdown:
Developer Plan – Free (Limited)
Designed for small teams needing AI-powered search analytics.
Pro Plan – Custom Pricing
Best for large organizations that require advanced AI-driven analytics and extensive cloud integrations.
Enterprise Plan – Custom Pricing
Ideal for SaaS businesses needing AI-driven, embedded analytics.
Compared to Sigma Embedded Analytics, ThoughtSpot is premium-priced, focusing on AI automation and large-scale enterprise use cases.
Best Use Cases of ThoughtSpot
ThoughtSpot is ideal for enterprises and data-driven organizations that need AI-powered search analytics and real-time insights. It’s best for business leaders, analysts, and teams leveraging cloud data warehouses for large-scale analytics.
How ThoughtSpot Compares to Sigma Embedded Analytics
ThoughtSpot is the best alternative particularly for AI-powered insights and search-driven analytics, whereas Sigma Embedded Analytics is better suited for structured business reporting.
Need more ThoughSpot alternatives? Check the top five ThoughSpot competitors.
How to Choose the Best Sigma Embedded Analytics Alternative?
Now that we’ve explored the top three Sigma Embedded Analytics alternatives, the next step is to determine which one aligns best with your business needs. Each tool offers unique strengths, so it’s important to evaluate your priorities before making a decision.
Here are key factors to consider when selecting the right alternative:
1. Do You Need Customer-Facing or Internal Analytics?
If you need to embed analytics for customer-facing dashboards, a solution with seamless white labeling and real-time data visualization is essential. However, if your focus is on internal analytics and deep reporting, a SQL-driven tool may be more suitable.
Choose:
✅ For Customer-Facing Embedded Analytics → Upsolve AI
✅ For Internal SQL-Based Reports → Mode
✅ For AI-Driven Enterprise Analytics → ThoughtSpot
2. How Important Is No-Code vs. SQL-Driven Reporting?
Consider whether your team requires a no-code interface for easy dashboard creation or an SQL-based tool for complex data queries.
Choose:
✅ For No-Code Drag-and-Drop Dashboards → Upsolve AI
✅ For SQL-Driven Advanced Analytics → Mode
✅ For AI-Powered Search-Based Reporting → ThoughtSpot
3. Do You Need Real-Time or Scheduled Data Processing?
Businesses that rely on real-time insights should prioritize platforms with instant data refreshes, while others may be fine with scheduled reporting.
Choose:
✅ For Real-Time Data & Instant Insights → Upsolve AI
✅ For Scheduled Reports & Advanced Queries → Mode
✅ For AI-Powered, Search-Based Data Processing → ThoughtSpot
4. How Important Is Scalability and Enterprise Features?
If you’re a growing SaaS company or a large enterprise, you’ll need a platform that scales with your business and integrates with cloud-based data warehouses.
Choose:
✅ For SaaS & SMBs Needing Scalable Analytics → Upsolve AI
✅ For Large Enterprises & Data Science Teams → ThoughtSpot
✅ For Engineering & BI Teams Managing Complex Data → Mode
5. What’s Your Budget?
Pricing can vary significantly depending on features, scalability, and enterprise support. Some tools are affordable for startups, while others are designed for enterprise-scale analytics.
Choose:
✅ For Cost-Effective, Scalable Analytics → Upsolve AI
✅ For Premium Pricing with Enterprise AI Features → ThoughtSpot
✅ For Flexible Custom Pricing Based on Usage → Mode
By evaluating these key factors, you can select the best Sigma Embedded Analytics alternative or competitors that align with your business goals, technical requirements, and budget.
Conclusion
Sigma Embedded Analytics is a powerful BI tool, but it may not be the best fit for businesses that need more flexibility, better scalability, or advanced analytics, the right alternative depends on your specific requirements.
Here’s a quick recap of the top Sigma alternatives we’ve explored:
Upsolve AI – Best for customer-facing embedded analytics with no-code dashboards, white-labeling, and real-time insights.
Mode – Best for data teams and analysts needing SQL-driven analytics and Python/R support.
ThoughtSpot – Best for AI-powered enterprise analytics with search-driven insights and cloud scalability.
If you’re particularly looking for a no-code, real-time, and AI-powered embedded analytics platform, Upsolve AI is the best choice. It can seamlessly embed, do deep customization, and show scalable analytics making it ideal for SaaS businesses and enterprises.
So, if you are keenly interested in Upsolve and wanna try it, you can start with a 30-day free trial and test its robust features and analytics to solve your business insights problems.
FAQs About Sigma Embedded Analytics Alternatives
Now, here are some frequently asked questions about Sigma embedded analytics alternatives:
1. What is the best alternative to Sigma Embedded Analytics?
Upsolve AI is the best alternative for customer-facing embedded analytics, while Mode suits data teams, and ThoughtSpot excels in AI-powered enterprise analytics.
2. How do I migrate from Sigma to another embedded analytics tool?
Choose an alternative, export your data, integrate with your new platform, and configure your dashboards, reports, and embedding options.
3. What factors should I consider when choosing an alternative?
Consider ease of integration, customization, real-time data processing, scalability, and pricing based on your business’s analytics and embedding needs.
4. Are there free alternatives to Sigma Embedded Analytics?
Some BI tools like Mode (basic version) and Metabase (open-source) offer free tiers, but they lack seamless embedding and white-labeling.
5. Which alternative is best for SaaS platforms?
Upsolve AI is ideal for SaaS platforms, offering no-code embedded analytics, real-time data, and white-labeling for seamless customer-facing dashboards.
