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: July 2025).

Google Cloud Datalab vs. ThoughtSpot

July 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

19th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (18th)

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 (11th), Embedded BI (5th)

Mindshare comparison

As of August 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.7%, up from 0.5% compared to the previous year. The mindshare of ThoughtSpot is 2.6%, up from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

Easy to setup, stable and easy to design data pipelines

The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.

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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

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

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

"Google Cloud Datalab is very customizable."

"The APIs are valuable."

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

"It is easy to set up the solution."

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

"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."

"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 initial setup was very straightforward."

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

More ThoughtSpot pros

Cons

"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."

"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."

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

"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."

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

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

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

"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."

"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."

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

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

More ThoughtSpot cons

Pricing and Cost Advice

"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."

"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

30%

University

Government

Computer Software Company

Financial Services Firm

20%

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 Google Cloud Datalab?

Google Cloud Datalab is very customizable.

What needs improvement with Google Cloud Datalab?

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 forcin...

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?

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 Google Cloud Datalab product report

Google Cloud Datalab

August 2025

Download ThoughtSpot product report

July 2025

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