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 built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly."
"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 gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."
"We have the ability to scale, collaborate and do machine learning."
"The Delta Lake data type has been the most useful part of this solution. Delta Lake is an opensource data type and it was implemented and invented by Databricks."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The solution is very simple and stable."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The solution's initial setup process is easy."
"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."
"The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools."
"Mapbox integration for geospatial analytics down to longitude/latitude layers."
"The product is a very good reporting tool and is very flexible. It allows for the users to get a scheduled report."
"A drag-and-drop interface for selecting creating ad hoc reports makes this product very easy to use."
"A positive feature is Report Studio, where we create beautiful, complex reports."
"The Report Studio that is aimed at professional report writers."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"If I want to create a Databricks account, I need to have a prior cloud account such as an AWS account or an Azure account. Only then can I create a Databricks account on the cloud. However, if they can make it so that I can still try Databricks even if I don't have a cloud account on AWS and Azure, it would be great. That is, it would be nice if it were possible to create a pseudo account and be provided with a free trial. It is very essential to creating a workforce on Databricks. For example, students or corporate staff can then explore and learn Databricks."
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment."
"A lot of people are required to manage this solution."
"The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets."
"The ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"It would be great if Databricks could integrate all the cloud platforms."
"I don't like that when we use Colab packages, we get less functionality. For example, you can make groups of data with Excel or with the data sets from the packages, but when you use the Colab packages directly, you can only group the data when you analyze it with Analysis Studio. I think Cognos needs to improve more on this functionality."
"Most of our company's customers want to be able to deploy IBM Cognos on a web application and use it as a desktop application, which is not possible currently."
"They were lacking in the initial phases of development in the area of big data, and they still need to improve that aspect of the product."
"Cognos is quite slow - it's missing the performance of the PowerPlay cubes."
"The solution's support could be better."
"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."
"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."
"There are some small features that are missing. It would be nice if the graphics were better. You can use external sources for charts, but it's quite complex to use and not easy to implement. If you want a new chart, you can download it from multiple tools and implement it into IBM Cognos."
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 Data Science Studio, 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.
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.
