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."The time travel feature is the solution's most valuable aspect."
"One of the features provides nice interactive clusters, or compute instances that you don't really need to manage often."
"It can send out large data amounts."
"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 solution is built from Spark and has integration with MLflow, which is important for our use case."
"There are good features for turning off clusters."
"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."
"It is a cost-effective solution."
"It has a very powerful edit feature which allows users to back out of changes (undo) without forcing them to recreate entire reports."
"For planning, forecasting, in-boxing, modeling in general and for predicting numbers and doing work analysis, they are excellent."
"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 initial setup is very straightforward."
"We use the account statement report. When you use an account in HSBC, you receive various types of accounts, such as the stock market, fixed accounts, credit cards, and business accounts. We can create one consolidated report called CCS support, which includes all these accounts. In that statement, we are consolidating all those accounts."
"A positive feature is Report Studio, where we create beautiful, complex reports."
"Mapbox integration for geospatial analytics down to longitude/latitude layers."
"Previously, we were doing static reporting. Management would request a report, and it would take staff a week or more to provide it. With Cognos, we have dynamic reporting, and it has reduced both reporting and decision making times significantly. With the solution's dashboard, the company's management team has updated records at their fingertips. This means that they can directly access the data they need to make decisions."
"There is room for improvement in visualization."
"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 data visualization for this solution could be improved. They have started to roll out a data visualization tool inside Databricks but it is in the early stages. It's not comparable to a solution like Power BI, Luca, or Tableau."
"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."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"It's not easy to use, and they need a better UI."
"The Databricks cluster can be improved."
"There are a lot of limitations with the out-of-the-box tool."
"I would like to see the introduction of mapbooks for supporting some geographical information."
"Tableau and Power BI are faster than Cognos."
"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."
"The high cost of a license makes it hard to scale up on a budget."
"There are some problems with how Cognos handles huge data sets and when connecting with multiple sources and searching the data."
"It could have more options for themes."
"I think the GIS pieces maybe not as good as we would like."
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, Dremio and Microsoft Azure Machine Learning Studio, whereas IBM Cognos is most compared with Microsoft Power BI, Oracle OBIEE, Tableau, Oracle Hyperion and SAP BusinessObjects Business Intelligence Platform.
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