We performed a comparison between Google Cloud Datalab and IBM SPSS Modeler based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"Google Cloud Datalab is very customizable."
"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."
"Very good data aggregation."
"We have been able to do some predictive modeling with it"
"Automation is great and this product is very organized."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"It's a very organized product. It's easy to use."
"Automated modelling, classification, or clustering are very useful."
"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."
"It is pretty scalable."
"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."
"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."
"It is not integrated with Qlik, Tableau, and Power BI."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"I think mapping for geographic data would also be a really great thing to be able to use."
"I would like see more programming languages added, like MATLAB. That would be better."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"It would be good if IBM added help resources to the interface."
"The standard package (personal) is not supported for database connection."
Google Cloud Datalab is ranked 14th in Data Science Platforms with 5 reviews while IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews. Google Cloud Datalab is rated 7.6, while IBM SPSS Modeler is rated 8.0. The top reviewer of Google Cloud Datalab writes "Easy to setup, stable and easy to design data pipelines". On the other hand, the top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". Google Cloud Datalab is most compared with Databricks, IBM SPSS Statistics, Cloudera Data Science Workbench, KNIME and Qlik Sense, whereas IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and SAS Analytics. See our Google Cloud Datalab vs. IBM SPSS Modeler report.
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We monitor all Data Science Platforms 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.
