Apache Superset vs ThoughtSpot comparison

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Apache Superset

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Executive Summary

We performed a comparison between Apache Superset and ThoughtSpot based on real PeerSpot user reviews.

Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Apache Superset vs. ThoughtSpot Report (Updated: June 2024).

Apache Superset vs. ThoughtSpot

June 2024

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Helped 787,817 peers since 2012

Categories and Ranking

Apache Superset

Ranking in Data Visualization

10th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

ThoughtSpot

Ranking in Data Visualization

11th

Average Rating

7.6

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (15th), Embedded BI (7th)

Mindshare comparison

As of June 2024, in the Data Visualization category, the mindshare of Apache Superset is 13.9%, up from 12.2% compared to the previous year. The mindshare of ThoughtSpot is 3.0%, up from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Unique Categories:

No other categories found

BI (Business Intelligence) Tools

2.0%

Embedded BI

17.6%

Featured Reviews

Mesut Mutlu

Director of Product and Strategy at Trive

Apr 29, 2024

Streamlined our data visualization and analysis processes, enabling less technical team members to handle data-driven tasks independently

Apache Superset could be improved by enhancing its interactivity and engagement capabilities. While it serves well for data visualization, it lacks more dynamic features that allow users to interact with data directly through the dashboard. For the next release, including interactive widgets and reporting tools that allow actions on digital assets directly from the dashboard would be beneficial. This functionality would make Superset a more comprehensive digital analytics platform suitable for interactive data exploration and operational management. Implementing actionable buttons for security controls and dashboard management could significantly enhance user interaction, making it more suitable for real-time data manipulation and decision-making.

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Kevin McAllister

Executive Manager at Hexagon AB

Jan 18, 2023

You can also create custom analytics even if you aren't an experienced data analyst

We invested much effort into providing a feature in a product that the user said they needed in a particular region. When the product owner checked the usage of that feature in ThoughtSpot, they found that the customers had not even adopted the version of the product with that feature in it. With that knowledge, they could work with those customers to understand what was happening. Maybe they didn't know the feature they requested was in the product, or was there another reason they did not adopt the feature? It allowed the product owner to follow up with the customer on product adoption.

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Quotes from Members

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

Pros

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

"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."

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

"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."

"I like ThoughtSpot's search capabilities. You can also create custom analytics even if you aren't an experienced data analyst. We have users with no data analytics experience making some of the dashboards we've created, copying components, and customizing them to their specific use cases."

"It's easy to drill down or expand data to get more details right out of the box."

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

"I would say the return on investment is good. Whatever we invested, we got results. We have been finding it easy to use and onboard new use cases."

"The scalability is good."

"ThoughtSpot takes the modifying of existing reports out of our hands."

"It is easy to set up the solution."

"The initial setup was very straightforward."

Cons

"The platform's reporting feature needs enhancement."

"Dynamic dashboarding could improve to enable smooth navigation when transitioning from a higher to a lower view, allowing for easy accessibility."

"Apache Superset could be improved by enhancing its interactivity and engagement capabilities."

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

"In terms of features, I'd like to be able to pivot data - for example, going from rows to columns. It's not easy to do."

"A customized visualization is lacking in this product."

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

"The dashboards could give you more ability to fine tune the appearance. You get a great deal more control over how something looks in Power BI than you do in ThoughtSpot."

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

"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."

"ThoughtSpot is a fairly new product, so some usability aspects aren't as mature as we'd like them to be. One example is their organizational methodology, like how objects are organized in their dashboards inside the product. They're all on a flat list, which works if you've got five or 10 dashboards. However, it's insufficient when you're a large enterprise with multiple groups looking at the same dashboards. It isn't organized well."

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

Pricing and Cost Advice

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

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

"Apache Superset is open-source and free."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

15%

Government

Manufacturing Company

Financial Services Firm

24%

Computer Software Company

11%

Manufacturing Company

11%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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 open-source and free.

What needs improvement with Apache Superset?

What do you like most about ThoughtSpot?

It's easy to drill down or expand data to get more details right out of the box.

What is your experience regarding pricing and costs for ThoughtSpot?

I like the pricing structure. I get billed by how much data I put in, not how many people are looking at the data. It's better for me as I can control pricing a bit more easily.

What needs improvement with ThoughtSpot?

We'd like more flexibility with the calendar as our fiscal year does not align with the calendar year. We have to load or create our own custom calendar to actually need our fiscal year-end. With o...

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Product Reports

Download Apache Superset product report

Apache Superset

June 2024

Download ThoughtSpot product report

May 2024

Learn More

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Apache

Overview

Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts.

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