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 has helped us have a good presence in data."
"The technical support is good."
"Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data."
"It's very simple to use Databricks Apache Spark."
"Databricks is a scalable solution. It is the largest advantage of the solution."
"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."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."
"I would rate the scalability a ten out of ten. It's highly scalable and can handle significant data volumes."
"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 most valuable feature is building ad hoc reports."
"Databricks doesn't offer the use of Python scripts by itself and is not connected to GitHub repositories or anything similar. This is something that is missing. if they could integrate with Git tools it would be an advantage."
"It would be very helpful if Databricks could integrate with platforms in addition to Azure."
"I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases."
"The integration of data could be a bit better."
"There could be more support for automated machine learning in the database. I would like to see more ways to do analysis so that the reporting is more understandable."
"There are no direct connectors — they are very limited."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."
"If there were to be any improvements right now, their documentation needs to get in sync with their product."
"The solution can be improved by adding more automated options for reporting."
"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."
"The challenge lies not in what the tool can do but in how you use it and understand the data."
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.
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.
