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 integrates well with other solutions."
"The most valuable feature is the ability to use SQL directly with Databricks."
"I like how easy it is to share your notebook with others. You can give people permission to read or edit. I think that's a great feature. You can also pull in code from GitHub pretty easily. I didn't use it that often, but I think that's a cool feature."
"The solution offers a free community version."
"It's very simple to use Databricks Apache Spark."
"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 is fast, it's scalable, and it does the job it needs to do."
"The initial setup phase of Databricks was good."
"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."
"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."
"The solution can read and write 500 different types of outputs."
"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."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"The interface of Databricks could be easier to use when compared to other solutions. It is not easy for non-data scientists. The user interface is important before we had to write code manually and as solutions move to "No code AI" it is critical that the interface is very good."
"There are no direct connectors — they are very limited."
"Implementation of Databricks is still very code heavy."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"The integration and query capabilities can be improved."
"Doesn't provide a lot of credits or trial options."
"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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