We performed a comparison between Databricks and IBM Planning Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"Ability to work collaboratively without having to worry about the infrastructure."
"I like cloud scalability and data access for any type of user."
"The initial setup phase of Databricks was good."
"The most valuable feature is the ability to use SQL directly with Databricks."
"The load distribution capabilities are good, and you can perform data processing tasks very quickly."
"The ease of use is valuable. The fact that it's plugged into Excel spreadsheets is also valuable. It provides additional functionality where you can slice and dice the information in a way that you can't do with spreadsheets"
"The product's stability is good."
"Navigating through the data to make analysis is really quick."
"The most valuable feature is that it is able to slice and dice the data."
"All the different platforms are well integrated."
"It's a very stable, robust product."
"The tool is flexible."
"IBM Planning Analytics is easy to use and deploy. It is quick to develop. The calculation machine is also very fast."
"I would like it if Databricks adopted an interface more like R Studio. When I create a data frame or a table, R Studio provides a preview of the data. In R Studio, I can see that it created a table with so many columns or rows. Then I can click on it and open a preview of that data."
"The product cannot be integrated with a popular coding IDE."
"It's not easy to use, and they need a better UI."
"The integration features could be more interesting, more involved."
"The pricing of Databricks could be cheaper."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"It would be great if Databricks could integrate all the cloud platforms."
"The dashboard is very poor and needs a lot of improvement."
"The new frontend Planning Analytics Workspace is not very good, it could be improved. I like the Planning Analytics functionality but it would be helpful if it could be more customizable. You can create a prediction and receive information but you cannot do feature engineering regarding the predictive models. If this was added it would be helpful."
"Planning Analytics could be improved by adding automation features."
"It would have been better if the solution was not just a tool kit."
"It is a bit expensive, but it does the job."
"The tool should include features for prediction. It can also improve the scalability."
"It's highly competitive right now, and all the vendors are in a race to put out new versions with additional features. IBM comes out with new versions too often, and it has an impact on quality."
"It's wonky, and not super user-friendly with Excel."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while IBM Planning Analytics is ranked 6th in Business Performance Management with 21 reviews. Databricks is rated 8.2, while IBM Planning Analytics is rated 8.6. 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 Planning Analytics writes "Can easily create dashboards and helps businesses improve forecasting accuracy". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas IBM Planning Analytics is most compared with SAP Analytics Cloud, Microsoft Power BI, Anaplan, Jedox and Oracle HFM.
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