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: March 2026).

Google Cloud Datalab vs. ThoughtSpot

March 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

16th

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 March 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 2.6%, up from 2.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
ThoughtSpot	2.6%
Google Cloud Datalab	1.2%
Other	96.2%

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 APIs are valuable."

"Google Cloud Datalab is very customizable."

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

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

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

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

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

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

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

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

"It is easy to set up the solution."

"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."

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

"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."

"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."

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

"The interface should be more user-friendly."

"A customized visualization is lacking in this product."

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

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

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

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

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

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

More ThoughtSpot cons

Pricing and Cost Advice

"The product is cheap."

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

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

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

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

University

Outsourcing Company

Computer Software Company

Financial Services Firm

17%

Manufacturing Company

10%

Computer Software Company

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, setup cost, and licensing for ThoughtSpot are competitive, and it is a very user-friendly tool compared to its competitors. Setting it up was easy and straightforward.

What needs improvement with ThoughtSpot?

The customizability of the visualization live boards should be improved. Additional support for more data warehouse systems is needed, as data does not always match sometimes. Sophisticated data mo...

What is your primary use case for ThoughtSpot?

My name is Peter Chemo, a Financial Analyst at Nesto. One of the major challenges that ThoughtSpot solves is reducing the dependency on data teams for reports and insights. ThoughtSpot also integra...

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Product Reports

Download Google Cloud Datalab product report

Google Cloud Datalab

March 2026

Download ThoughtSpot product report

February 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