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."Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."
"It's very simple to use Databricks Apache Spark."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"I work in the data science field and I found Databricks to be very useful."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"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."
"Navigating through the data to make analysis is really quick."
"The tool is flexible."
"It's a very stable, robust product."
"The product's stability is good."
"The flexibility of IBM Planning Analytics is a great feature of this solution. The design flexibility with data rules and defining calculations The ability to combine online and offline calculations are a benefit. Additionally, the forecasting features and predictive analytics is very good."
"The most valuable feature is that it is able to slice and dice the data."
"All the different platforms are well integrated."
"A lot of the platform is in-memory, so Planning Analytics can run calculations quite fast. It also offers several user interfaces. And in the newest version of Planning Analytics, there is a new one called the Planning Analytics Workspace. Maybe it could be useful for the business side."
"It would be great if Databricks could integrate all the cloud platforms."
"The Databricks cluster can be improved."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Can be improved by including drag-and-drop features."
"The data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"CI/CD needs additional leverage and support."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"The tool should include features for prediction. It can also improve the scalability."
"Extracting data is a little slow."
"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."
"The dashboard is very poor and needs a lot of improvement."
"The tool's transport layer could be improved when promoting development between environments."
"It would have been better if the solution was not just a tool kit."
"Adding predefined templates could be beneficial."
"It is a bit expensive, but it does the job."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while IBM Planning Analytics is ranked 5th in Business Performance Management with 22 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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