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."It can send out large data amounts."
"The solution is very easy to use."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"The technical support is good."
"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."
"The ease of use and its accessibility are valuable."
"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search"
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The most valuable feature is building ad hoc reports."
"The solution can read and write 500 different types of outputs."
"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."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"Would be helpful to have additional licensing options."
"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."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems."
"Costs can quickly add up if you don't plan for it."
"I would love an integration in my desktop IDE. For now, I have to code on their webpage."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"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."
"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."
More Information Builders WebFOCUS Pricing and Cost Advice →
Databricks is ranked 1st in Data Science Platforms with 77 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, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio and Azure Stream Analytics, whereas Information Builders WebFOCUS is most compared with Microsoft Power BI, Tableau, SAP BusinessObjects Business Intelligence Platform, Alteryx and SAS Visual Analytics.
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.