Google Cloud Datalab vs ThoughtSpot comparison

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Google Cloud Datalab

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Executive SummaryUpdated on Jan 1, 2025

ThoughtSpot and Google Cloud Datalab are competing data analytics platforms. ThoughtSpot is strong in user-driven analytics and ease of data access, while Google Cloud Datalab, with its comprehensive features and integration capabilities, is robust for complex data environments.

Features: ThoughtSpot offers intuitive search-driven analytics, AI-powered insights, and an easy-to-use interface for non-technical users. Google Cloud Datalab provides powerful data exploration tools, seamless integration with Google's ecosystem, and extensive support for machine learning workflows.

Room for Improvement: ThoughtSpot could improve its visualization capabilities, offer more integration options, and provide enhanced scalability for larger datasets. Google Cloud Datalab could benefit from simplifying its setup process, offering better cost management solutions, and addressing limitations with its AI configurations.

Ease of Deployment and Customer Service: ThoughtSpot offers streamlined deployment with minimal IT involvement and excellent post-deployment support. Google Cloud Datalab utilizes Google Cloud infrastructure for scalable deployment and provides comprehensive support for technical integration and troubleshooting.

Pricing and ROI: ThoughtSpot is known for competitive setup costs and rapid ROI through improved data accessibility. Google Cloud Datalab's feature-rich environment requires a more significant investment but delivers ROI through robust analytics and extensive integrations.

To learn more, read our detailed Google Cloud Datalab vs. ThoughtSpot Report (Updated: February 2026).

Google Cloud Datalab vs. ThoughtSpot

February 2026

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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

Google Cloud Datalab

Ranking in Data Visualization

17th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (19th)

ThoughtSpot

Ranking in Data Visualization

9th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (10th), Embedded BI (6th)

Mindshare comparison

As of February 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.2%, up from 0.6% compared to the previous year. The mindshare of ThoughtSpot is 2.5%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
ThoughtSpot	2.5%
Google Cloud Datalab	1.2%
Other	96.3%

Data Visualization

Featured Reviews

LijomonJose

System Architect at UST Global EspaÃ±a

dashboards are good and data visualization is more meaningful for the end-user

Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcing your database with over a billion records, it can be tough for the end-user to manage the data. You need to have a single entity system in each environment. It's not because of GCP, but it would be great to have options like MongoDB or other similar tools in GCP. Then, we wouldn't always need to connect to the cloud and execute SQL queries. Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated. Once the data is collected, it should be easily sorted.

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Purity Wairimu

Financial Analyst at Nestlé

Self-service analytics has empowered teams and now drives faster data-driven decisions

I have an experience of four years using ThoughtSpot. ThoughtSpot is very easy to use. Even non-technical users find it very easy to use and user-friendly. Some of the best features ThoughtSpot offers are innovation, ease of use, and data analytics. Reporting development is also pretty easy, making complex formulas slightly easier. Additionally, dashboarding for non-technical people, easy search of data, ease of getting insights, AI-driven analytics, and the ability to easily build charts are highlights. ThoughtSpot also offers data connection with live data sources. ThoughtSpot's scalability is impressive; it can handle large data easily, and performance has been powerful and reliable. The AI-driven analytics capabilities in ThoughtSpot help to predict future outcomes and are very helpful in tracking data, and performance is great.

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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 infrastructure is highly reliable and efficient, contributing to a positive experience."

"All of the features of this product are quite good."

"For me, it has been a stable product."

"The APIs are valuable."

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."

"Google Cloud Datalab is very customizable."

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

"It is easy to set up the solution."

"Stability is very important, and ThoughtSpot performs well."

"This tool has really improved our decision-making by 70 to 80% because we are able to rely on insights from different data sources from different departments."

"The point which I found to be a strength point for Domo was collaboration while building dashboards and pipelines, and the volume of data it used to handle."

"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."

"The best feature is usability from the customer and client perspective, and while Power BI requires a dedicated developer to create reports, ThoughtSpot is really easy to work with, connects seamlessly with other databases, and refreshes large datasets in just 10-15 seconds compared to Power BI's half-hour delay."

"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

"The product must be made more user-friendly."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."

"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."

"The interface should be more user-friendly."

"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

"A crucial feature we needed is missing, which involves restricting views of certain KPIs when users select conflicting parameters. We had to create a workaround, which impacted performance by loading pinboards slowly."

"I encountered limitations mainly around UI and dashboard configuration."

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

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

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

"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 support team gets a six out of ten. They are not as proactive."

More ThoughtSpot cons

Pricing and Cost Advice

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

"It is affordable for us because we have a limited number of users."

"The product is cheap."

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

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

10%

University

Comms Service Provider

Financial Services Firm

18%

Manufacturing Company

10%

Computer Software Company

10%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	3
Midsize Enterprise	1
Large Enterprise	14

Questions from the Community

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

What needs improvement with Google Cloud Datalab?

What is your primary use case for Google Cloud Datalab?

It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...

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?

There should be a free version of it for people to learn easily so that they get adapted easily and get used to supporting the Domo community, which is something very important. The certification c...

What is your primary use case for ThoughtSpot?

I had some experience with ThoughtSpot. It was a very limited use case, as I was just a part of a POC, so I cannot really comment.

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Product Reports

Download Google Cloud Datalab product report

Google Cloud Datalab

January 2026

Download ThoughtSpot product report

January 2026

Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

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