Google Cloud Datalab vs Sigma comparison

Google and Sigma Computing are both solutions in the Data Visualization category. Google is ranked #18 with an average rating of 7.8, while Sigma Computing is ranked #13 with an average rating of 7.0. Google holds a 0.6% 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

135 Views
116 Comparison Views

80% willing to recommend

Sigma

Read 6 Sigma reviews

922 Views
445 Comparison Views

100% willing to recommend

Google Cloud Datalab

Sigma

Comparison Buyer's Guide

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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: March 2025).

Buyer's Guide

Google Cloud Datalab vs. Sigma

March 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

18th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (16th)

Sigma

Ranking in Data Visualization

13th

Average Rating

7.6

Reviews Sentiment

8.5

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (17th)

Mindshare comparison

As of April 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.6%, up from 0.4% compared to the previous year. The mindshare of Sigma is 2.1%, up from 1.7% 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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Russell Rothstein

Founder and CEO at PeerSpot

Modern dashboards and reports enhance decision-making and presentations

I would love to be able to create my own reports in Sigma, as I can do in Salesforce. 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. I'm interested in the upcoming AI co-pilot to enable natural language generation of visualizations and reports. Also, the marketing materials did not match what I feel we've received. Regarding pricing, Sigma's pricing doesn't allow more people to have the ability to create their own reports. We have very few admin or report creator licenses, while everyone else is on a view-only mode.

Read full review

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."

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

"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."

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

"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."

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

"The most valuable aspect for me is having real-time data."

"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."

Cons

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

"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."

"The interface should be 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."

"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."

"The product's roadmap regarding introducing new features in the solution or new versions of the tool can be made better in the future."

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

"Sigma could have better reports."

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

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

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."

"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

20%

Computer Software Company

12%

University

11%

Manufacturing Company

Computer Software Company

16%

Financial Services Firm

16%

Manufacturing Company

12%

Healthcare Company

10%

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.

See all answers

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...

See all answers

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 ...

See all answers

What do you like most about Sigma?

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

See all answers

What is your experience regarding pricing and costs for Sigma?

The pricing of Sigma is a concern, as it restricts our ability to provide more users with report-creating capabilities due to the high cost of admin or report creator licenses. Most users have view...

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What needs improvement with Sigma?

See all answers

Comparisons

IBM SPSS Statistics vs Google Cloud Datalab

Compared 45% of the time

Databricks vs Google Cloud Datalab

Compared 31% of the time

Cloudera Data Science Workbench vs Google Cloud Datalab

Compared 23% of the time

More Google Cloud Datalab Competitors

Hex vs Sigma

Compared 37% of the time

Apache Superset vs Sigma

Compared 17% of the time

Tableau vs Sigma

Compared 12% of the time

Microsoft Power BI vs Sigma

Compared 10% of the time

Amazon QuickSight vs Sigma

Compared 8% of the time

More Sigma Competitors

Product Reports

Buyer's Guide

Google Cloud Datalab

April 2025

Download Google Cloud Datalab product report

Buyer's Guide

Sigma

March 2025

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

March 2025

Free Report: Google Cloud Datalab vs. Sigma

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