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Google Cloud Datalab Reviews

Vendor: Google
3.9 out of 5

What is Google Cloud Datalab?

Featured Google Cloud Datalab reviews

Google Cloud Datalab mindshare

Product category:
As of August 2025, the mindshare of Google Cloud Datalab in the Data Visualization category stands at 0.7%, up from 0.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Google Cloud Datalab0.7%
Tableau21.4%
Apache Superset10.2%
Other67.7%
Data Visualization

PeerResearch reports based on Google Cloud Datalab reviews

TypeTitleDate
CategoryData VisualizationAug 29, 2025Download
ProductReviews, tips, and advice from real usersAug 29, 2025Download
ComparisonGoogle Cloud Datalab vs Tableau EnterpriseAug 29, 2025Download
ComparisonGoogle Cloud Datalab vs Apache SupersetAug 29, 2025Download
ComparisonGoogle Cloud Datalab vs Splunk Cloud PlatformAug 29, 2025Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.1N/A96%91 interviewsAdd to research
Tableau Enterprise4.221.4%89%307 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Service and Support

Deployment

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Stability

Top industries

By visitors reading reviews
Financial Services Firm
31%
Government
7%
University
7%
Computer Software Company
6%
Manufacturing Company
6%
Retailer
4%
Healthcare Company
4%
Transportation Company
4%
Comms Service Provider
2%
Energy/Utilities Company
2%
Insurance Company
2%
Logistics Company
2%
Non Profit
2%
Outsourcing Company
2%
Wholesaler/Distributor
2%
Consumer Goods Company
1%
Printing Company
1%
Real Estate/Law Firm
1%
Recruiting/Hr Firm
1%
Legal Firm
1%
Educational Organization
1%
Sports Company
1%
Training & Coaching Company
1%
Marketing Services Firm
1%
Media Company
1%
Aerospace/Defense Firm
1%
 
Google Cloud Datalab Reviews Summary
Author infoRatingReview Summary
System Architect at UST Global España4.5I use Google Cloud Datalab for daily data processing, appreciating its dashboards and data visualization despite its higher cost. I find its AI features helpful but feel improvements are needed in node management and network speed.
Senior Cloud Solution Architect at Integrated Technology Solution Group (ITSG)3.0Our primary use of Google Cloud Datalab focuses on transitioning workloads from AWS and Univision, managing segmented data tables for projects. While it's customizable, precise data control is challenging due to geographic diversity and maintaining data integrity during migration.
Chief Executive Officer at Firebase4.0Google Cloud Datalab is useful for analytics and research, offering valuable APIs and open-source tools. However, it needs to be more user-friendly, and its requirement for payment details for free services is frustrating compared to Microsoft's offerings.
Project Manager - Data Science at Mettler-Toledo International Inc.4.0I find deploying machine learning models on Google Cloud Datalab beneficial due to its data pipeline design ease and global server selection. However, improvements are needed in its graphical user interface for better initial user experience.
Data Engineer at a tech consulting company with 201-500 employees4.0We use Google Cloud Datalab for Exploratory Data Analysis, focusing on machine learning. Its reliable infrastructure allows seamless library setup, enhancing usability. Connectivity issues, session timeouts, and BigQuery integration need improvement for better user experience and performance.
Project Manager & Database Administrator at TAV Information Technologies4.0No summary available