Google Cloud Datalab vs Hubble comparison

Google and Hubble are both solutions in the Data Visualization category. Google is ranked #18 with an average rating of 7.8, while Hubble is ranked #27. Google holds a 0.6% mindshare in DV, compared to Hubble’s 0.8% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 100% of Hubble users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

135 Views
116 Comparison Views

80% willing to recommend

Hubble

Read 5 Hubble reviews

192 Views
133 Comparison Views

100% willing to recommend

Google Cloud Datalab

Hubble

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Executive SummaryUpdated on Jan 1, 2025

Hubble and Google Cloud Datalab are competing products in the analytics and data processing category. Hubble seems to have the upper hand regarding pricing and support, while Google Cloud Datalab's feature set is compelling for advanced capabilities.

Features: Hubble focuses on financial planning and reporting with real-time analytics and seamless ERP integration. Its standout features include ease of creating calculations, hierarchies, and financial reports with live data reporting without IT intervention. Google Cloud Datalab stands out with powerful data exploration tools, high scalability, and seamless integration with Google Cloud's ecosystem, making it highly customizable for various data processing needs.

Room for Improvement: Hubble could improve by expanding beyond financial applications, offering more customization options, and enhancing collaboration features. Google Cloud Datalab could benefit from simplified integration processes, improved support services, and reducing the learning curve for cloud-native users.

Ease of Deployment and Customer Service: Hubble offers streamlined deployment with quick integration into ERP systems and strong support, focusing on rapid deployment. Google Cloud Datalab requires cloud environment familiarity, often resulting in a steeper learning curve but integrates well with other Google Cloud services, offering comprehensive cloud functionalities.

Pricing and ROI: Hubble provides lower setup costs with a focus on quick ROI through efficient financial management. Google Cloud Datalab may have higher initial expenses, but it offers significant long-term ROI potential with its advanced data analysis and scalability features.

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

Buyer's Guide

Google Cloud Datalab vs. Hubble

April 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)

Hubble

Ranking in Data Visualization

27th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Business Performance Management (33rd), Financial Performance and Strategy Management (15th), Financial Close Software (25th)

Mindshare comparison

As of May 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 Hubble is 0.8%, up from 0.4% 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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Priya Govind

Financial / IT Director at a manufacturing company with 501-1,000 employees

Excellent for budgeting and forecasting, but long-term it will no longer be developed or supported

The fact that in a few years' time it is no longer going to be supported is a big concern. Therefore, I would advise against Hubble. Additionally, I think we underestimated the time for deployment, we thought it would be a few months and it took much longer than expected because the consultants didn't understand our process in detail before committing to the process. On a scale of one to ten, I would give Hubble a seven.

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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 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."

"The APIs are valuable."

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

"Google Cloud Datalab is very customizable."

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

"The most valuable features are both its budgeting and forecasting."

Cons

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

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

"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."

"We have been advised by the owners that the budgeting tool is no longer going to be supported with future development, so my recommendation would be for them to continue to invest in development. Otherwise, at some point we will have to migrate to another technology."

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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

University

12%

Computer Software Company

10%

Manufacturing Company

Financial Services Firm

13%

Manufacturing Company

10%

Computer Software Company

10%

Media 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.

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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...

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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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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 24% of the time

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Microsoft Power BI vs Hubble

Compared 36% of the time

Tableau vs Hubble

Compared 34% of the time

Splunk Enterprise Platform vs Hubble

Compared 30% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

April 2025

Download Google Cloud Datalab product report

Buyer's Guide

Business Performance Management

April 2025

Download Hubble 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

Hubble by insightsoftware.com is an integrated suite of business performance management apps, for JD Edwards and Oracle E-Business Suite, offering reporting, analytics, and planning in a single real-time solution that fully understands your ERP. Hubble integrates all of your critical business systems so that users at all levels have access to real-time data and the ability to automate planning, budgeting, forecasting, and financial close processes. Hubble reporting allows you to connect the whole company around a single source of truth for consistent, accurate decision making. In the financial reporting application, you have access to pre-built templates or you can create your own custom reports. The Hubble analytics application connects data from every facet of your organization to your ERP to create personalized dashboards, scorecards, and visuals. The planning application gives finance and business users the ability to budget, forecast, plan, and close in real-time. View your actuals next to budgets for an up-to-date view of current business performance. You can create your own reports, so that IT no longer needs to be involved.

Hubble

Sample Customers

Information Not Available

Dole, Ghiradelli, Ninetendo, Avon, Hallmark, Treasury Wine Estates, Kitchener-Wilmot Hydro, City of Prince George, Weingarten Realty Investors, Coloplast A/S, Western Forest Products Inc, The Deltic Group Ltd, Financial Times, Johnson & Johnson, Mitsubishi, National Geographic Maps

Buyer's Guide

Google Cloud Datalab vs. Hubble

April 2025

Free Report: Google Cloud Datalab vs. Hubble

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