We performed a comparison between Databricks and IBM SPSS Statistics 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."Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"Its lightweight and fast processing are valuable."
"The technical support is good."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"in terms of the simplicity, I think the SPSS basic can handle it."
"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"It is a modeling tool with helpful automation."
"The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can into multidimensional setup space. It's the multidimensional space facility that is most useful."
"One feature I found very valuable was the analysis of variance (ANOVA)."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"It should have more compatible and more advanced visualization and machine learning libraries."
"In the next release, I would like to see more optimization features."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"CI/CD needs additional leverage and support."
"The pricing of Databricks could be cheaper."
"We'd like a more visual dashboard for analysis It needs better UI."
"The statistics should be more self-explanatory with detailed automated reports."
"I think the visualization and charting should be changed and made easier and more effective."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"The design of the experience can be improved."
"The solution needs to improve forecasting using time series analysis."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while IBM SPSS Statistics is ranked 7th in Data Science Platforms with 36 reviews. Databricks is rated 8.2, while IBM SPSS Statistics is rated 8.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and SAS Analytics. See our Databricks vs. IBM SPSS Statistics report.
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