We performed a comparison between Databricks and Information Builders WebFOCUS based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."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."
"Databricks integrates well with other solutions."
"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."
"We can scale the product."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."
"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."
"Databricks' most valuable features are the workspace and notebooks. Its integration, interface, and documentation are also good."
"The solution can read and write 500 different types of outputs."
"The most valuable feature is building ad hoc reports."
"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."
"It should have more compatible and more advanced visualization and machine learning libraries."
"There is room for improvement in visualization."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"Databricks' technical support takes a while to respond and could be improved."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"The initial setup is difficult."
"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement."
"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."
"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."
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Databricks is ranked 1st in Data Science Platforms with 78 reviews while Information Builders WebFOCUS is ranked 6th in Predictive Analytics with 18 reviews. Databricks is rated 8.2, while Information Builders 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 Information Builders 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 Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Information Builders WebFOCUS is most compared with Microsoft Power BI, Tableau, SAP BusinessObjects Business Intelligence Platform, Alteryx and TIBCO Spotfire.
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