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."The integration with Python and the notebooks really helps."
"The initial setup phase of Databricks was good."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"Databricks gives you the flexibility of using several programming languages independently or in combination to build models."
"The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes."
"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."
"Databricks integrates well with other solutions."
"Databricks helps crunch petabytes of data in a very short period of time."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"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 most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"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."
"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."
"The on-premise version has quite good scalability."
"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."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"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."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Implementation of Databricks is still very code heavy."
"Doesn't provide a lot of credits or trial options."
"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."
"It's not easy to use, and they need a better UI."
"A lot of people are required to manage this solution."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"I find that this is quite a heavy, time-consuming tool for developers."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"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."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
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, Microsoft Azure Machine Learning Studio and Dremio, whereas Pyramid Analytics is most compared with Microsoft Power BI, Tableau, Alteryx, Qlik Sense and SAP Analytics Cloud.
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