We performed a comparison between Databricks and Pyramid Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."It's great technology."
"There are good features for turning off clusters."
"Databricks' Lakehouse architecture has been most useful for us. The data governance has been absolutely efficient in between other kinds of solutions."
"The solution is an impressive tool for data migration and integration."
"The setup was straightforward."
"We can scale the product."
"Databricks' most valuable feature is the data transformation through PySpark."
"The integration with Python and the notebooks really helps."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"The on-premise version has quite good scalability."
"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."
"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."
"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."
"The solution could improve by providing better automation capabilities. For example, working together with more of a DevOps approach, such as continuous integration."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"I believe that this product could be improved by becoming more user-friendly."
"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."
"Pricing is one of the things that could be improved."
"There is room for improvement in the documentation of processes and how it works."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"Costs can quickly add up if you don't plan for it."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
"I find that this is quite a heavy, time-consuming tool for developers."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Pyramid Analytics is ranked 16th in BI (Business Intelligence) Tools with 8 reviews. Databricks is rated 8.2, while Pyramid Analytics is rated 7.6. 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 Pyramid Analytics writes "A comprehensive and user-friendly business intelligence for enhanced data insight". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Dremio and Microsoft Azure Machine Learning Studio, whereas Pyramid Analytics is most compared with Microsoft Power BI, Tableau, Alteryx, Qlik Sense and SAP Analytics Cloud.
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