We performed a comparison between Databricks and ibi WebFOCUS based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"The solution is very easy to use."
"It is fast, it's scalable, and it does the job it needs to do."
"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."
"It's great technology."
"Databricks helps crunch petabytes of data in a very short period of time."
"A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem."
"I would rate the scalability a ten out of ten. It's highly scalable and can handle significant data volumes."
"The most valuable feature is building ad hoc reports."
"It stands out for its ability to work across different platforms, support mainframe data, offer cloud integration, automate report scheduling, and provide a robust scripting language."
"The solution can read and write 500 different types of outputs."
"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."
"It's not easy to use, and they need a better UI."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"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."
"Databricks' performance when serving the data to an analytics tool isn't as good as Snowflake's."
"Would be helpful to have additional licensing options."
"When I used the support, I had communication problems because of the language barrier with the agent. The accent was difficult to understand."
"Databricks has a lack of debuggers, and it would be good to see more components."
"When it comes to customer support, we don't always reach the right person. Sometimes, we get junior-level reps who aren't as knowledgeable as we are."
"If there were to be any improvements right now, their documentation needs to get in sync with their product."
"The challenge lies not in what the tool can do but in how you use it and understand the data."
"The solution can be improved by adding more automated options for reporting."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while ibi WebFOCUS is ranked 6th in Predictive Analytics with 18 reviews. Databricks is rated 8.2, while ibi WebFOCUS is rated 8.8. 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 ibi WebFOCUS writes "A flexible mainframe product with unique file features and a rock solid scheduling feature". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas ibi WebFOCUS is most compared with Microsoft Power BI, Tableau, SAP BusinessObjects Business Intelligence Platform, Alteryx and Amazon QuickSight.
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