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."Databricks makes it really easy to use a number of technologies to do data analysis. In terms of languages, we can use Scala, Python, and SQL. Databricks enables you to run very large queries, at a massive scale, within really good timeframes."
"The most valuable feature of Databricks is the notebook, data factory, and ease of use."
"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."
"Its lightweight and fast processing are valuable."
"There are good features for turning off clusters."
"The solution offers a free community version."
"Databricks has helped us have a good presence in data."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"Stability-wise, I rate the solution a ten out of ten."
"The solution's initial setup process is easy."
"One of the strong suits of Cognos is its robust corporate reporting capability."
"Using custom controls, it is possible to extend the application with even more functionality and make the application intuitive and attractive."
"The basic platform comes with several meta-modelling tools."
"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."
"IBM Cognos is an excellent solution for tax, planning, budgeting, profit and loss statements and balance sheets."
"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."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."
"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."
"Overall it's a good product, however, it doesn't do well against any individual best-of-breed products."
"This solution only supports queries in SQL and Python, which is a bit limiting."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"In the next release, I would like to see more optimization features."
"Would be helpful to have additional licensing options."
"I would like to see the introduction of mapbooks for supporting some geographical information."
"The technical support team’s response time is slow and needs to be improved."
"Chart quality: many other competitors have charts and graphics that look much better and that provide dynamic effects. Cognos doesn't."
"The data uploads that we do, such as Excel files, have a lot of restrictions. If we can make it a bit more user-friendly, allowing us to have more flexibility it would be a great help."
"The high cost of a license makes it hard to scale up on a budget."
"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."
"We need more predictive analytical functions, not only diagnostic or decryptic analytics."
"In terms of what could be improved, I would say, monitoring, monitoring, monitoring. Some improvements in monitoring would be helpful. I'd like to see more monitoring of specific reports and fields. The way the auditing is now is very limited, so I'd like to see more of that - of the monitoring."
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.
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