We performed a comparison between Databricks and Pentaho Business Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Ability to work collaboratively without having to worry about the infrastructure."
"It can send out large data amounts."
"The solution is easy to use and has a quick start-up time due to being on the cloud."
"This solution offers a lake house data concept that we have found exciting. We are able to have a large amount of data in a data lake and can manage all relational activities."
"The solution is very simple and stable."
"Automation with Databricks is very easy when using the API."
"The solution is an impressive tool for data migration and integration."
"Its lightweight and fast processing are valuable."
"The most valuable feature of Pentaho is the Tableau report."
"I use the BI Server, CDE Dashboards, Saiku, and Kettle, because these tools are very good and highly experienced."
"Pentaho is an analytics platform that can be used when an organization has a lot of big data storage systems already installed and needs to manage and analyze that data. It has a specific use case for unstructured data, such as documents, and needs to be able to search and analyze it."
"We were able to install it without any assistance from tech support."
"The initial setup is pretty straightforward."
"Easy to use components to create the job."
"Pentaho Business Analytics' best features include the ease of developing data flows and the wide range of options to connect to databases, including those on the cloud."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The initial setup is difficult."
"It's not easy to use, and they need a better UI."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"The integration and query capabilities can be improved."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"The Databricks cluster can be improved."
"The product cannot be integrated with a popular coding IDE."
"We did not achieve the ROI. The work delivered to users had lesser value than the subscription cost."
"Another concern is that Pentaho is not customizable or interactive."
"Logging capability is needed."
"Pentaho, at the general level, should greatly improve the easy construction of its dashboards and easy integration of information from different sources without technical user intervention."
"Version control would be a good addition."
"Deployment is not simple. It is not simple because we are dealing with a lot of data; we are dealing with a lot of storage. So, it's not a simple process."
"Pentaho Business Analytics' user interface is outdated."
"The repository should be improved."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Pentaho Business Analytics is ranked 21st in BI (Business Intelligence) Tools with 42 reviews. Databricks is rated 8.2, while Pentaho Business Analytics is rated 8.0. 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 Pentaho Business Analytics writes "Flexible, easy to understand, and simple to set up". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Pentaho Business Analytics is most compared with Microsoft Power BI, Microsoft SQL Server Reporting Services, SAP Crystal Reports, Tableau and KNIME.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.