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: December 2025).

Google Cloud Datalab vs. ThoughtSpot

December 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

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

8th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (10th), Embedded BI (4th)

Mindshare comparison

As of January 2026, in the Data Visualization category, the mindshare of Google Cloud Datalab is 1.1%, up from 0.5% 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	1.1%
Other	96.4%

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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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.

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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."

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

"The APIs are valuable."

"Google Cloud Datalab is very customizable."

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

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

"It is easy to set up the solution."

"The tool is user-friendly for the end users."

"ThoughtSpot empowers businesses to make informed decisions by providing real-time data insights."

"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."

"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."

More ThoughtSpot pros

Cons

"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."

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

"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."

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

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

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

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

"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."

"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."

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

"The visualization customization needs improvement."

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

"A customized visualization is lacking in this product."

More ThoughtSpot cons

Pricing and Cost Advice

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

"The product is cheap."

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

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

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

10%

University

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

10%

Manufacturing 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	13

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