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."There are good features for turning off clusters."
"Automation with Databricks is very easy when using the API."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."
"I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job."
"It is fast, it's scalable, and it does the job it needs to do."
"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."
"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."
"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."
"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 would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"Databricks' technical support takes a while to respond and could be improved."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"The solution has some scalability and integration limitations when consolidating legacy systems."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"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."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"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."
"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, 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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