Google Cloud Datalab vs Sigma comparison

Google and Sigma Computing are both solutions in the Data Visualization category. Google is ranked #17 with an average rating of 7.5, while Sigma Computing is ranked #11 with an average rating of 7.3. Google holds a 1.1% mindshare in DV, compared to Sigma Computing’s 2.1% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 100% of Sigma Computing users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

989 Views
326 Comparison Views

80% willing to recommend

Sigma

Read 9 Sigma reviews

2,050 Views
738 Comparison Views

100% willing to recommend

Google Cloud Datalab

Sigma

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Executive SummaryUpdated on Jan 1, 2025

Google Cloud Datalab and Sigma are data analysis tools. Sigma has the upper hand due to its comprehensive feature set, compared to Google Cloud Datalab's focus on cost-effectiveness.

Features: Google Cloud Datalab integrates easily with other Google Cloud services, supports Jupyter Notebooks, and is ideal for machine learning model development. Sigma offers advanced analytics, an easy-to-use spreadsheet-like interface, and enables handling large datasets without SQL knowledge. Sigma's simplicity and team usability are significant advantages.

Ease of Deployment and Customer Service: Google Cloud Datalab requires substantial technical expertise for deployment despite support from Google's developer resources. In contrast, Sigma offers a straightforward deployment suited for less technical teams, with excellent customer service, making it more accessible.

Pricing and ROI: Google Cloud Datalab is recognized for affordability, particularly for those already using Google Cloud, reducing extra costs. Sigma may have higher initial pricing but compensates through enhanced analytics, offering potentially higher ROI with advanced insights valuable for businesses focused on analytics.

To learn more, read our detailed Google Cloud Datalab vs. Sigma Report (Updated: December 2025).

Buyer's Guide

Google Cloud Datalab vs. Sigma

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)

Sigma

Ranking in Data Visualization

11th

Average Rating

7.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (15th)

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 Sigma is 2.1%, up from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Market Share Distribution
Product	Market Share (%)
Sigma	2.1%
Google Cloud Datalab	1.1%
Other	96.8%

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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reviewer2729628

Lead Analytics Consultant at a outsourcing company with 51-200 employees

Great collaboration with intuitive interface and dynamic visualization capabilities

As we are exploring multiple features in Sigma, I think Sigma can add more functionality. As Power BI gives multiple modeling options in its interface with the query editor, those features can be added in Sigma for intuitiveness or for making the data very clean. From the dashboarding perspective, it performs well. However, from the modeling perspective, it requires more capabilities that can be added in Sigma. The main improvement needed is in data modeling capabilities. If they add those features in the near future, it would be very helpful for us to implement the same or do the data cleansing part in the Sigma tool itself.

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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

"Google Cloud Datalab is very customizable."

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

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

"The APIs are valuable."

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

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

"Having those dashboards set up in Sigma has made things easier for me and my team because it's just going into one report."

"The most valuable feature of Sigma is the detailed reports."

"Sigma is a great software for non-technical business users. If someone's familiar with pivot tables or Excel or Google Sheets, they should be able to pick up Sigma pretty quickly. There is a very low bar for onboarding."

"The tool's interface is easy to use. The functions listed as a part of the menu items are easy to use."

"The most valuable feature of Sigma is the detailed reports."

"I find the collaborative features, such as commenting, to be very valuable."

"Sigma has excellent features, such as lookup tables where you can easily bring data that are not interrelated or at different granularity."

"Sigma serves as the visualization and reporting front end."

More Sigma pros

Cons

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

"The interface should be 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."

"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 product must be made more user-friendly."

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

"I think Sigma can be improved because, for the last ten months since I first started here, this is my first time ever using it, and I think there is a steep learning curve."

"Sigma could have better reports."

"I would like to see better visualization options. That would allow me to build out more visually pleasing dashboarding in Sigma."

"Sigma lacks a versioning feature to track changes. There is a need for better structuring, like a folder system, to organize diagrams efficiently."

"Sigma could have better reports."

"The only minor area for improvement lies in handling highly complex visualizations."

"The main improvement needed is in data modeling capabilities. If they add those features in the near future, it would be very helpful for us to implement the same or do the data cleansing part in the Sigma tool itself."

"Either we are not using it properly, or the software is too complicated. It would be great if there was a way for me to create reports without relying on a data analyst."

More Sigma 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."

"The retail price is set at one thousand dollars per creator per year."

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

Computer Software Company

10%

University

Manufacturing Company

Financial Services Firm

13%

Computer Software Company

11%

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	5
Midsize Enterprise	3
Large Enterprise	2

Questions from the Community

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

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What needs improvement with Google Cloud Datalab?

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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 ...

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What is your experience regarding pricing and costs for Sigma?

I do not know much about my experience with pricing, setup cost, and licensing because I am not heavily involved in that.

See all answers

What needs improvement with Sigma?

I think Sigma can be improved because, for the last ten months since I first started here, this is my first time ever using it, and I think there is a steep learning curve. It is not as intuitive a...

See all answers

What is your primary use case for Sigma?

My main use case for Sigma is that there are a bunch of reports, and many of our main reports are built on Sigma. I use it as a dashboard, review the reports, filter through there, and use it to he...

See all answers

Comparisons

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Compared 19% of the time

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Compared 15% of the time

IBM SPSS Statistics vs Google Cloud Datalab

Compared 9% of the time

KNIME Business Hub vs Google Cloud Datalab

Compared 8% of the time

Qlik Sense vs Google Cloud Datalab

Compared 7% of the time

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Hex vs Sigma

Compared 27% of the time

Omni vs Sigma

Compared 23% of the time

Apache Superset vs Sigma

Compared 9% of the time

Microsoft Power BI vs Sigma

Compared 8% of the time

Amazon QuickSight vs Sigma

Compared 6% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

January 2026

Download Google Cloud Datalab product report

Buyer's Guide

Sigma

January 2026

Download Sigma product report

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

Sigma is the next-generation of analytics for cloud data warehouses with a familiar spreadsheet-like interface that gives business experts the power to ask any question of their data no matter the query.

Sigma Computing

Sample Customers

Information Not Available

Snowflake, Fivetran ,Autodesk, Flowspace, Super League Gaming, Zumper, Clover, Volta, Olivela

Buyer's Guide

Google Cloud Datalab vs. Sigma

December 2025

Free Report: Google Cloud Datalab vs. Sigma

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