Apache Superset vs ThoughtSpot comparison

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Apache Superset

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Executive SummaryUpdated on Jan 1, 2025

ThoughtSpot and Apache Superset are competitive tools in the data analytics and business intelligence domain. ThoughtSpot has an upper hand with its exceptional search capabilities, while Apache Superset excels in diverse chart options.

Features: ThoughtSpot offers intuitive, ad-hoc data exploration and a user-friendly query-based search, enabling report generation without SQL expertise. It provides scalability and quick deployment, alongside matrix showcasing and ease of setup. Apache Superset enables self-service dashboard creation with rich charting features, no-code interface, and diverse chart embedding options, facilitating comprehensive data analysis with consistent KPI sharing.

Room for Improvement: ThoughtSpot requires better visualization customization like Power BI, improved database connectivity to reduce redundancy, and increased flexibility in data handling and report formatting. Apache Superset needs enhanced dashboard interactivity, more dynamic features for real-time decision-making, and clearer documentation for advanced use cases.

Ease of Deployment and Customer Service: ThoughtSpot predominantly deploys in private and public clouds with responsive customer support and comprehensive technical assistance. Apache Superset offers flexible deployment across clouds and is supported by a knowledgeable team with proactive deployment assistance. Both are lauded for deployment support, with ThoughtSpot having more specific user feedback.

Pricing and ROI: ThoughtSpot's pricing aligns between premium solutions like Tableau and more cost-effective options like Power BI, based on data volume rather than user count. Apache Superset, as an open-source solution, offers cost advantages. ThoughtSpot users note satisfactory ROI, while Superset's cost-effectiveness is emphasized, each providing value in time savings and decision-making ease aligned with their operational requirements.

To learn more, read our detailed Apache Superset vs. ThoughtSpot Report (Updated: September 2025).

Apache Superset vs. ThoughtSpot

September 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Apache Superset

Ranking in Data Visualization

2nd

Average Rating

8.2

Reviews Sentiment

5.2

Number of Reviews

Ranking in other categories

No ranking in other categories

ThoughtSpot

Ranking in Data Visualization

10th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (11th), Embedded BI (5th)

Mindshare comparison

As of October 2025, in the Data Visualization category, the mindshare of Apache Superset is 9.2%, down from 10.2% compared to the previous year. The mindshare of ThoughtSpot is 2.7%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Apache Superset	9.2%
ThoughtSpot	2.7%
Other	88.1%

Data Visualization

Featured Reviews

Md Ariful Islam

Application Engineer at Rakuten Symphony

Provides robust search capabilities with potential for additional features

The initial deployment of Apache Superset was easy. Its integration is very straightforward. I found that when I chose Elasticsearch, its installation, settings, and integration with my application were also very easy; I could implement everything in just two or three days. It took me only one day to deploy it for the first time because I encountered complexities with the version differences, between version one and version two of Muktopaath. When I upgraded my version, the previous version did not support my new server installation, making it necessary for me to find and implement my previous versions' plugins. Although I could resolve it, I found it easy, aside from the version problem that took additional time.

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Sushma Polavarapu

Sr Data Analytics Consultant at Capgemini

Creates user-friendly analysis environments for large datasets

The tool is user-friendly for the end users. It is primarily a search-based tool. Users do not need a technical background to work directly on the dataset. Its compatibility with most databases, including the latest from FlexMovely and Redshift, allows users to create joins and worksheets easily. ThoughtSpot is fast, even with one to ten terabytes of data.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Being able to quickly build standard dashboards around relational data in Apache Superset provides tremendous visibility for everyone on the team."

"The no-code interface is the most valuable as it allows us to operate without constant support from the data engineering team, fostering a self-service environment."

"When you click on any chart, you can apply the filter without any effort."

"The most valuable feature of Apache Superset is the easy way to configure dashboards as reports or analyses and it's easy to use and intuitive. Users do not need a lot of training to use the solution."

"What I appreciate most about Apache Superset is its text search feature, including searching with small and capital letters."

"Apache Superset is a lightweight reporting tool with a lot of functions and flexibility, where you can build the dataset, build charts, and dashboards from the user interface."

"It is a good visual solution tool in an open-source category."

"The solution supports a rich set of charts and enables users to create their own dashboards."

More Apache Superset pros

"The scalability is good."

"ThoughtSpot is much easier to work with and maintain than other BI solutions, and it significantly reduces costs related to manual labor."

"ThoughtSpot saves a significant amount of time compared to other tools and is very user-friendly."

"The initial setup was very straightforward."

"The self-service analytics capabilities are unrivaled, making it a top-notch solution."

"The ability to do ad hoc explorations of data has been most valuable."

"It is easy to set up the solution."

"The main core of ThoughtSpot is to create models, connect data pipelines, and create business models and dashboards on top of them."

More ThoughtSpot pros

Cons

"I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators."

"Dark mode would be the main thing I would like; it does not really work because the chart text cannot be white in a dark mode setup, so it is not feasible."

"I definitely see some disadvantages in Apache Superset, particularly in the tagging feature which is not up to the mark, creating a little bit of mess for the administrators."

"Building a full-fledged product or software as a service might be cumbersome due to performance limitations."

"When comparing Apache Superset with Elasticsearch and Solar Search, it lacks some features that come with Elasticsearch, such as Kibana."

"The platform's reporting feature needs enhancement."

"One potential area for improvement in Apache Superset is that it must be installed in a dedicated Docker image, which could be a limitation since the goal is to embed Apache Superset in a product offering."

"Automation in terms of APIs for creating roles, and giving privileges to the user can be improved."

More Apache Superset cons

"If I want to order columns, this feature is not there."

"I would like to see more flexibility in adding the pins. Currently, we have four different sizes in which I can add pins, but I would like to be able to resize my pins."

"Some areas for improvement include the pixel-perfect dashboards, which are not as refined as those in Tableau."

"The most difficult thing I found is that it only deals with the files and does not have direct connectivity to databases."

"The one area of the solution that I do hear needs improvement is on the visualization front."

"ThoughtSpot lacks an intermediate layer for data loading, unlike Qlik, which affects dashboard stability when the database has issues."

"The customer service and support are not good. I stopped opening tickets due to insufficient and untimely responses."

"Although it's a very nice feature to have, I don't think that is something which can survive alone."

More ThoughtSpot cons

Pricing and Cost Advice

"The price of Apache Superset is less than some of its competitors."

"Apache Superset has a three-year licensing model."

"Apache Superset is open-source and free."

"Apache Superset is an open-source solution."

"I give the pricing a six out of ten."

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

Computer Software Company

11%

Government

Healthcare Company

Financial Services Firm

19%

Computer Software Company

12%

Manufacturing Company

10%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	5

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	12

Questions from the Community

What do you like most about Apache Superset?

It is a good visual solution tool in an open-source category.

What is your experience regarding pricing and costs for Apache Superset?

Apache Superset is an open-source solution.

What needs improvement with Apache Superset?

Apache Superset has good features for supporting multidimensional analysis, but I need more ability to customize. This depends on different tools used for different customers or users; Superset is ...

What is your experience regarding pricing and costs for ThoughtSpot?

The pricing is on the higher end but reasonable for what ThoughtSpot offers.

What needs improvement with ThoughtSpot?

I do not think there is anything that needs improvement at the moment. It is being improved continuously. They are connecting to many AI-type tools. Their pricing has recently changed to be more pr...

What is your primary use case for ThoughtSpot?

Clients use ThoughtSpot because of its search facility. It is easy for searching and does not require analysts to provide reports. There is no drill-down path on the data, so users can drill data a...

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Product Reports

Download Apache Superset product report

Apache Superset

October 2025

Download ThoughtSpot product report

October 2025

Overview

Apache Superset provides seamless integration for data visualization and dashboard creation without the need for developer assistance. Its intuitive, no-code environment supports users to embed, query, and share data insights efficiently.

Apache Superset offers a robust platform for data visualization through easy dashboard configuration and data integration. It facilitates query writing and reuses KPIs to ensure data consistency across dashboards. Users can embed dashboards within applications effortlessly and leverage a wide range of chart options for sophisticated data representation. The self-service nature empowers teams to maintain data integrity and optimize processes swiftly. However, it seeks enhancement in documentation and dynamic dashboard navigation, with a need for more interactive features to rival industry-leading tools. Permissions management and interactivity need enhancement, especially in larger user environments.

What are the key features of Apache Superset?

Dashboard Configuration: Simplifies the process of setting up dashboards with minimal coding.
No-Code Environment: Enables dashboard creation without developer involvement.
Cross-Filters and Role Mapping: Allows dynamic filtering and user role mapping for tailored data access.
Embedded Analytics: Facilitates embedding of dashboards into applications.
Wide Chart Library: Offers diverse visualization options for comprehensive data display.

Why consider Apache Superset for your organization?

Data Consistency: Ensures unified data usage across dashboards.
Enhanced Insights: Provides insightful visualizations for better decision-making.
Process Optimization: Streamlines data processes for operational efficiency.
Self-Service Model: Empowers teams to manage data independently without IT intervention.

Industries utilize Apache Superset to create and integrate dashboards for data analysis and visualization. It is widely used in genomics to analyze data, monitor service performance in telecom, and manage metrics and KPIs. Companies leverage its capabilities for profitability insights, agent productivity assessments, and historical data trend analysis.

Apache

ThoughtSpot is a powerful business intelligence tool that allows easy searching and drilling into data. Its ad hoc exploration and query-based search features are highly valued, and it is easy to set up, stable, and scalable.

The solution is used for reporting purposes, self-service BI, and embedding into other applications for customers to do self-service analytics. It helps businesses with metrics, KPIs, and important insights by sourcing data from various sources into one golden source and visualizing it in an easy way for the business to consume. The pricing model is ideal, charging for data rather than the number of users.

Sample Customers

Information Not Available

Primary Capital Mortgage, Sterling Backcheck, RichRelevance, Rambus, Batteries Plus Bulbs