We performed a comparison between Adaptive Insights and Google Cloud Datalab based on real PeerSpot user reviews.
Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Forecasting changes that instantly flow through all financial statements."
"We utilize planning on a daily basis, therefore we find it to be the most valuable product for our organization."
"The biggest feature is the source of truth for all of our budget and forecast versions."
"Changes to corporate structure, account codes are updated in all versions including prior years, hence "one-version of truth" as claimed."
"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."
"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."
"The most valuable feature of the solution is its dashboard."
"Automated reporting."
"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."
"All of the features of this product are quite good."
"Google Cloud Datalab is very customizable."
"Better user interface (UI)."
"Being able to drill down when using OfficeConnect needs work."
"Adaptive Insights has a limit of 1,00,000 rows for HTML reports. It should be improved because we will have multiple dimensions that need to be populated to enhance the image."
"Their customer support team is slow to respond and not extremely confident."
"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."
"It's a Workday product; they could do a little bit better to integrate a pure-play integration with Workday, which really doesn't do that."
"The integrations could be simpler. It takes quite a bit of internal and IT know-how to set up."
"The interface should be more user-friendly."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"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."
"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."
Adaptive Insights is ranked 12th in Data Visualization with 18 reviews while Google Cloud Datalab is ranked 20th in Data Visualization with 5 reviews. Adaptive Insights is rated 8.4, while Google Cloud Datalab is rated 7.6. The top reviewer of Adaptive Insights writes "Facilitates leveraging the query reporting engine and modeling engine into Excel spreadsheets but there is room for improvement in terms of performance ". On the other hand, the top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". Adaptive Insights is most compared with Tableau, Microsoft Power BI, Anaplan, Oracle HFM and SAP Business Planning and Consolidation, whereas Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, IBM SPSS Modeler and KNIME. See our Adaptive Insights vs. Google Cloud Datalab report.
See our list of best Data Visualization vendors.
We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
