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."It's very simple to use Databricks Apache Spark."
"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."
"When we have a huge volume of data that we want to process with speed, velocity, and volume, we go through Databricks."
"The simplicity of development is the most valuable feature."
"The ability to stream data and the windowing feature are valuable."
"The time travel feature is the solution's most valuable aspect."
"The main features of the solution are efficiency."
"It's easy to increase performance as required."
"The most valuable feature is developing reports from different data sources, making it a reliable data source."
"Stability-wise, I rate the solution a ten out of ten."
"The three IBM Cognos features I find the most valuable are Dynamic Cubes, PowerPlay, and Watson."
"If they want dashboarding, storytelling, and analyzing why KPIs are met or not, then Cognos is a better candidate than Qlik Sense."
"Dashboarding, reporting, and ad hoc reporting are the valuable features of IBM Cognos."
"We use IBM Cognos for enterprise analytics and reporting."
"A drag-and-drop interface for selecting creating ad hoc reports makes this product very easy to use."
"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."
"I would like more integration with SQL for using data in different workspaces."
"Databricks is not geared towards the end-user, but rather it is for data engineers or data scientists."
"The integration features could be more interesting, more involved."
"There are no direct connectors — they are very limited."
"Costs can quickly add up if you don't plan for it."
"Databricks has a lack of debuggers, and it would be good to see more components."
"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 ability to customize our own pipelines would enhance the product, similar to what's possible using ML files in Microsoft Azure DevOps."
"The tool needs to improve the connectivity since I see that, at times, there is a need to increase the memory in the database."
"I think the GIS pieces maybe not as good as we would like."
"It could have more options for themes."
"We need more predictive analytical functions, not only diagnostic or decryptic analytics."
"Need improvement towards Visualization."
"The performance is a bottleneck and something that can be improved."
"They should provide improved visual reporting."
"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."
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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