We performed a comparison between Databricks and IBM Cognos based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The processing capacity is tremendous in the database."
"We have the ability to scale, collaborate and do machine learning."
"Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."
"The time travel feature is the solution's most valuable aspect."
"The solution is built from Spark and has integration with MLflow, which is important for our use case."
"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."
"The fast data loading process and data storage capabilities are great."
"Even while a user is using a cube for reporting, there will not be a situation as ' Cube file locked; unable to build or deploy'."
"The Report Studio that is aimed at professional report writers."
"For planning, forecasting, in-boxing, modeling in general and for predicting numbers and doing work analysis, they are excellent."
"The dashboarding offered by this solution is very valuable to us."
"This solution allows you to input a wide range of file formats."
"It's enabled us to report directly from our main application systems. We're removing islands of data and we're removing inefficiencies, where people or small divisions had their own store of information."
"The correlation analysis is excellent. It's one of the best that I have used to date."
"The initial setup is quite straightforward."
"It would be nice to have more guidance on integrations with ETLs and other data quality tools."
"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."
"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with."
"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 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."
"The pricing of Databricks could be cheaper."
"CI/CD needs additional leverage and support."
"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 could have more options for themes."
"I would like to see is more easy building, movement in the reports, and dashboard functionality within reporting. Overall more simple elements within reports. If the elements are simple then you don't have to render a full page, but you can move separate parts in the page."
"The solution seems to slow down the servers."
"One thing that we really want is the ability to have data portrayed on an image. Cognos is not able to do it at the moment, and that's becoming a requirement from the business side: having an image and then plotting your dataset on top of the image as a map."
"We would like to see development of the product's UI function, to make it more of a UI tool that can be configured as required."
"The visualization aspect needs to be improved and I believe, this is being resolved in upcoming versions."
"There are some problems with how Cognos handles huge data sets and when connecting with multiple sources and searching the data."
"I would like to see the introduction of mapbooks for supporting some geographical information."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while IBM Cognos is ranked 7th in BI (Business Intelligence) Tools with 132 reviews. Databricks is rated 8.2, while IBM Cognos is rated 8.0. 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 IBM Cognos writes "Improved the quality of our KPIs, while reducing calls to the IT department". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku, Microsoft Azure Machine Learning Studio and Dremio, whereas IBM Cognos is most compared with Microsoft Power BI, Oracle OBIEE, Tableau, SAP BusinessObjects Business Intelligence Platform and Oracle Hyperion.
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