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."The solution is very simple and stable."
"We can scale the product."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well."
"It's easy to increase performance as required."
"The processing capacity is tremendous in the database."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The most valuable feature is that it is able to slice and dice the data."
"The most valuable features of IBM Planning Analytics for streamlining planning processes include a unified database where all data are centralized."
"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."
"IBM Planning Analytics is easy to use and deploy. It is quick to develop. The calculation machine is also very fast."
"The product's stability is good."
"Planning Analytics' best features include automatic updates and slicing."
"The tool is flexible."
"Navigating through the data to make analysis is really quick."
"The stability of the clusters or the instances of Databricks would be better if it was a much more stable environment. We've had issues with crashes."
"The connectivity with various BI tools could be improved, specifically the performance and real time integration."
"Doesn't provide a lot of credits or trial options."
"It would be great if Databricks could integrate all the cloud platforms."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"The integration and query capabilities can be improved."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"The local authentication part is difficult to manage in the product, making it an area where improvements are required."
"It's wonky, and not super user-friendly with Excel."
"Extracting data is a little slow."
"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."
"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."
"Planning Analytics could be improved by adding automation features."
"The tool's transport layer could be improved when promoting development between environments."
"Adding predefined templates could be beneficial."
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, Dremio and Microsoft Azure Machine Learning Studio, whereas IBM Planning Analytics is most compared with SAP Analytics Cloud, Microsoft Power BI, Anaplan, Jedox and Oracle HFM.
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