Adaptive Insights vs Google Cloud Datalab comparison

Workday and Google are both solutions in the Data Visualization category. Workday is ranked #11 with an average rating of 8.2, while Google is ranked #18 with an average rating of 7.8. Workday holds a 0.7% mindshare in DV, compared to Google’s 0.6% mindshare. Additionally, 100% of Workday users are willing to recommend the solution, compared to 80% of Google users who would recommend it.

Adaptive Insights

Read 18 Adaptive Insights reviews

230 Views
155 Comparison Views

100% willing to recommend

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

135 Views
116 Comparison Views

80% willing to recommend

Adaptive Insights

Google Cloud Datalab

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Adaptive Insights and Google Cloud Datalab compete in data analysis and business intelligence. Adaptive Insights has the upper hand in financial planning and ease of use, while Google Cloud Datalab excels in handling large datasets for complex analysis.

Features: Adaptive Insights offers robust financial planning and analysis, scenario planning, and streamlined dashboard reporting. Google Cloud Datalab is strong in data processing, data exploration, and machine learning, benefiting from Google's reliable infrastructure.

Room for Improvement: Adaptive Insights could improve by enhancing integration with more data sources, offering better visualization options, and expanding its data capabilities. Google Cloud Datalab requires improvements in ease of use for non-technical users, refinement of AI features for better node management, and enhanced dashboard customization.

Ease of Deployment and Customer Service: Adaptive Insights is easy to deploy, focusing on financial planning with strong support for onboarding. Google Cloud Datalab offers seamless integration with Google Cloud, although it requires more technical expertise during deployment, yet benefits from excellent cloud integration support.

Pricing and ROI: Adaptive Insights is cost-effective for financial processes, providing significant ROI through efficient budgeting. Google Cloud Datalab involves higher initial costs but offers substantial ROI by effectively handling large datasets and supporting advanced analytics, bringing value to complex data operations despite the costs.

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

Buyer's Guide

Adaptive Insights vs. Google Cloud Datalab

April 2025

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Helped 847,625 peers since 2012

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

Adaptive Insights

Ranking in Data Visualization

11th

Average Rating

8.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Business Performance Management (8th), Financial Performance and Strategy Management (3rd), Reporting (12th), ESG Reporting Software (4th)

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)

Mindshare comparison

As of April 2025, in the Data Visualization category, the mindshare of Adaptive Insights is 0.7%, up from 0.6% compared to the previous year. The mindshare of Google Cloud Datalab is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

Andrew Rosenberg

Adaptive Planning Manager at Alight

Adaptive scales well, simple to create new budget versions and models

For the organization I used to work at, it streamlined the process of creating budgets. It's very simple to create a new version and do some more modeling based on your need for planning things like headcount, other expenses, and revenue, everything is configurable within Workday. So that made it easy. Reporting was pretty easy to set up as well. It streamlined the amount of time it took to do the budget as well as kind of making it simple to implement a rolling forecast process. So, it really was more just a productivity increase and time shortening for the budgeting and forecasting process.

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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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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The biggest feature is the source of truth for all of our budget and forecast versions."

"The integration with our payroll system to complete staff modeling during our budget and forecast processes."

"Forecasting changes that instantly flow through all financial statements."

"It's very simple to create a new version and do some more modeling based on your need for planning things like headcount, other expenses, and revenue, everything is configurable within Workday."

"Automated reporting."

"It helps develop a more unified work format throughout the company."

"We utilize planning on a daily basis, therefore we find it to be the most valuable product for our organization."

"The important feature is integration with source data. It connects to various ERP systems, including Workday, Intact, and others. It can also import actuals and compare them to PlanPoint quite easily."

More Adaptive Insights 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."

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

"The APIs are valuable."

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

"Google Cloud Datalab is very customizable."

Cons

"The product's configuration process could be faster."

"Discovery (the data visualization module): Needs to catch up with BI leaders, such as MS and Tableau. E.g., sorting by amounts in column charts and page slicers to control all visuals."

"Being able to drill down when using OfficeConnect needs work."

"The upload feature exists, but isn't terribly useful."

"The integrations could be simpler. It takes quite a bit of internal and IT know-how to set up."

"Adaptive Insights could improve the data designer interface to make integrations easier to set up."

"Users continue to become more advanced and are looking for more advanced solutions."

"Their customer support team is slow to respond and not extremely confident."

More Adaptive Insights cons

"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."

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

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

"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."

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

Pricing and Cost Advice

"Adaptive Insights' pricing is relative to its peer competitors. It's certainly competitive compared to a spreadsheet template that you build in Excel. It can be expensive if you need to have 100-500 budget holders giving input and building financial plans. However, in that case, it becomes an extremely good bargain. Compared to its competitors, it offers an excellent value."

"It's affordable."

"Everything is negotiable, but this solution is low cost compared to others."

"Licensing seems to be worth the cost considering the efficiency Adaptive brings."

"Ensure that you have the proper pricing plan in place."

"Adaptive Insights' pricing is reasonable."

"Pricing is in line with other cloud-based EPM tools. It is a subscription-based model based upon the number of users and site type if it's an admin or end-user type thing."

"Prior to purchasing licenses, make sure you understand which users will only need planning and which users will need both planning and OfficeConnect."

"It is affordable for us because we have a limited number of users."

"The product is cheap."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

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Top Industries

By visitors reading reviews

Computer Software Company

15%

Financial Services Firm

10%

Real Estate/Law Firm

Healthcare Company

Financial Services Firm

20%

Computer Software Company

12%

University

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Adaptive Insights?

It's very simple to create a new version and do some more modeling based on your need for planning things like headcount, other expenses, and revenue, everything is configurable within Workday.

See all answers

What is your experience regarding pricing and costs for Adaptive Insights?

12 years ago, it was very affordable. Workday has definitely increased its price since it acquired Adaptive a few years ago. So, it's affordable. But there are other more affordable solutions that ...

See all answers

What needs improvement with Adaptive Insights?

The integrations could be simpler. It takes quite a bit of internal and IT know-how to set up. So, there could be room for just improving the integrations, making it easier to integrate outside sys...

See all answers

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

Comparisons

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Tableau vs Adaptive Insights

Compared 10% of the time

Anaplan vs Adaptive Insights

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Product Reports

Buyer's Guide

Adaptive Insights

April 2025

Download Adaptive Insights product report

Buyer's Guide

Google Cloud Datalab

April 2025

Download Google Cloud Datalab product report

Also Known As

Workday Adaptive Planning, Adaptive Discovery , Workday Adaptive Planning

No data available

Overview

Adaptive Insights is a cloud-based financial planning and analysis software that helps businesses streamline their budgeting, forecasting, and reporting processes.

With its intuitive interface and powerful analytics, it enables organizations to make data-driven decisions and drive business performance.

Workday

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

Sample Customers

1. Cisco Systems 2. Coca-Cola Bottling Co. Consolidated 3. Deloitte 4. DocuSign 5. Dropbox 6. Electronic Arts 7. Fender Musical Instruments Corporation 8. Fitbit 9. Fossil Group 10. Groupon 11. Hilton Worldwide 12. HP Inc. 13. Intuit 14. Johnson & Johnson 15. LinkedIn 16. Lyft 17. McAfee 18. Medtronic 19. Netflix 20. Oracle 21. Pandora 22. PayPal 23. Pinterest 24. Red Hat 25. Salesforce 26. ServiceNow 27. Slack Technologies 28. Spotify 29. Symantec 30. Tableau Software 31. Twitter 32. Workday

Information Not Available

Buyer's Guide

Adaptive Insights vs. Google Cloud Datalab

April 2025

Free Report: Adaptive Insights vs. Google Cloud Datalab

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