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 solution is an impressive tool for data migration and integration."
"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"The integration with Python and the notebooks really helps."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"Databricks has helped us have a good presence in data."
"The initial setup phase of Databricks was good."
"The solution is very simple and stable."
"The on-premise version has quite good scalability."
"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 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."
"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 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."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"Databricks has a lack of debuggers, and it would be good to see more components."
"The pricing of Databricks could be cheaper."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"Can be improved by including drag-and-drop features."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"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."
"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."
"The integration and query capabilities can 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."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"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."
"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."
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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