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 initial setup is pretty easy."
"I haven't heard about any major stability issues. At this time I feel like it's stable."
"I work in the data science field and I found Databricks to be very useful."
"The simplicity of development is the most valuable feature."
"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."
"It is a cost-effective solution."
"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."
"Databricks has a scalable Spark cluster creation process. The creators of Databricks are also the creators of Spark, and they are the industry leaders in terms of performance."
"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."
"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 on-premise version has quite good scalability."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"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."
"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."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
"The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"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."
"Anyone who doesn't know SQL may find the product difficult to work with."
"There are no direct connectors — they are very limited."
"CI/CD needs additional leverage and support."
"It's not easy to use, and they need a better UI."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"The integration of data could be a bit better."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"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."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"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."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"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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