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Databricks vs IBM Cognos comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.5
Users experience mixed returns with Databricks, noting cost efficiency and scalability but facing challenges with measuring monetary gains.
Sentiment score
6.2
Organizations benefit from IBM Cognos by saving costs, reducing delivery times, enhancing productivity, and improving data insights and decision-making.
This reduction in both time and money resulted in real-time impact and significant cost savings.
Consultant at Nice Software Solutions
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
I have seen a return on investment with time savings and productivity gains, as we have consistent, governed data models that reduce the risk of errors by eliminating manual data entry.
Senior Software Engineer at McKinsey and Company
I have seen a return on investment, as I mentioned earlier about time saving and productivity gains, with a consistent governed data model that reduces the risk of errors.
Sr. Project Manager at GlaxoSmithKline
 

Customer Service

Sentiment score
6.9
Databricks customer service is praised for prompt, professional support, though some report delays; documentation helps many users.
Sentiment score
6.4
IBM Cognos support varies; online resources and knowledgeable staff assist, but complex issues lead to frustration with resolution times.
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.
Data Engineer at CRAFT Tech
Our systems team, operating on a lot of Red Hat Enterprise Linux and maintaining long-term relations with IBM, benefits from good support coverage.
EDW Manager at a university with 1,001-5,000 employees
I rate technical support from IBM as eight out of ten, indicating a high quality of service.
head of commercial at Assimil8 Ltd.
they are slow to respond to my queries
Senior Software Engineer at McKinsey and Company
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for its scalability, elasticity, and auto-scaling, providing high performance and flexibility across industries.
Sentiment score
7.4
IBM Cognos is praised for its scalability, though it requires correct hardware and configuration to optimize performance fully.
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
The scalability of IBM Cognos is very good, as it has continued growing with my organization's needs, allowing us to analyze and store a significant amount of data and handle our organization's growth efficiently.
Sr. Project Manager at GlaxoSmithKline
It can be scaled out to other teams, but requires building cubes and implementing policies.
head of commercial at Assimil8 Ltd.
 

Stability Issues

Sentiment score
7.6
Databricks is highly rated for reliability and efficiency, with minor issues quickly resolved, boasting strong user stability scores.
Sentiment score
7.2
IBM Cognos is reliable with correct setup, but complex tasks and high loads may cause occasional performance slowdowns.
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
Even though we deal with a huge amount of data, it is capable of handling it, making it very stable.
Senior Software Engineer at McKinsey and Company
I rate the stability of this solution as nine out of ten, indicating it is highly stable.
head of commercial at Assimil8 Ltd.
 

Room For Improvement

Databricks needs better visualization, integration, clearer errors, UI enhancements, wider platform support, and improved documentation and usability.
IBM Cognos needs better data visualization, user interface, and integration improvements to compete effectively with Tableau and Power BI.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
Integration with Azure login makes trouble.
Sr. Project Manager at GlaxoSmithKline
There is room for improvement in self-service analytics and predictiveness.
head of commercial at Assimil8 Ltd.
Since IBM Cognos is a futuristic platform with many robust features, it takes time to grasp all the features and how they work, so there is a learning curve.
Senior Data Engineer at LTI LATAM and Toubro Improtech
 

Setup Cost

Databricks' pricing varies widely based on usage and data volume, making it cost-effective yet potentially expensive for large-scale use.
IBM Cognos offers comprehensive features with competitive pricing, making it cost-effective for enterprises despite perceived high costs.
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
I rate pricing as a four, meaning it is more expensive compared to other solutions.
head of commercial at Assimil8 Ltd.
I believe the pricing is affordable and pocket-friendly for every organization.
Senior Software Engineer at McKinsey and Company
 

Valuable Features

Databricks excels in ease of use, scalability, integration, and data governance, enhancing productivity and collaboration for data engineering.
IBM Cognos excels in reporting, integration, security, and analytics, providing essential tools for data-driven enterprise decision-making.
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
The AI features in IBM Cognos helped me gain deeper insights into our business processes, enabling me to make data-driven decisions easily and understand which points need our attention and which areas of our business are performing well.
Senior Data Engineer at LTI LATAM and Toubro Improtech
IBM Cognos transforms raw data into insights and analytics, enabling our data team to make great insights and data-driven decisions easily.
Senior Software Engineer at McKinsey and Company
I love the seamless and efficient data integration capability of IBM Cognos Analytics, where it allows us easy merging of data from various sources such as customer feedback and sales figures.
Sr. Project Manager at GlaxoSmithKline
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
93
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
IBM Cognos
Average Rating
8.2
Reviews Sentiment
6.3
Number of Reviews
138
Ranking in other categories
BI (Business Intelligence) Tools (7th), Reporting (4th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.0%, up 7.2% compared to last year.
IBM Cognos, on the other hand, focuses on BI (Business Intelligence) Tools, holds 1.3% mindshare, down 3.8% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks10.0%
Snowflake15.9%
Teradata8.4%
Other65.7%
Cloud Data Warehouse
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
IBM Cognos1.3%
Microsoft Power BI8.9%
Tableau Enterprise6.2%
Other83.6%
BI (Business Intelligence) Tools
 

Featured Reviews

Satyam Wagh - PeerSpot reviewer
Consultant at Nice Software Solutions
Unified data workflows have cut ticket processing times and are driving faster business insights
Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.
Christine Wanjiru - PeerSpot reviewer
Sr. Project Manager at GlaxoSmithKline
Reporting workflows have become faster and data-driven decisions are made confidently
The best features IBM Cognos offers include seamless data integration, AI-powered insights, and user-friendly dashboards that really make my job easier. The AI-powered insights help me automatically identify patterns and insights where they enhance analysis depth effortlessly, and this feature has been very instrumental in uncovering variable insights that might have otherwise gone unnoticed. When it comes to seamless data integration, I love the seamless and efficient data integration capability of IBM Cognos Analytics, where it allows us easy merging of data from various sources such as customer feedback and sales figures. The smooth integration process streamlines workflow efficiency and enhances overall data management practice. I also really love the user-friendly and intuitive dashboards where IBM Cognos Analytics enables quick creation of custom dashboards and an easy understanding of visual data presentation, allowing us to identify trends at a glance and enhance our analytical capabilities. IBM Cognos has positively impacted my organization since implementing this tool, as it has been very helpful with a particularly strong data analysis capability that helps us in business planning. Its strong data analysis capability helps us for business planning, and the great reporting capacity helps update all the leadership management about the business in one report. Auto-scheduling and report generation is a good feature that saves a significant amount of time. Specific outcomes that show how IBM Cognos has helped my organization include saving time, as we have been able to save forty to fifty percent of our time with its auto-scheduling and report generation functionality.
report
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
Healthcare Company
6%
Financial Services Firm
13%
Insurance Company
10%
Manufacturing Company
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise23
Large Enterprise88
 

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...
How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
Which would you choose - Databricks or Azure Stream Analytics?
Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...
Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos Enter...
What do you like most about IBM Cognos?
The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools.
What needs improvement with IBM Cognos?
Since IBM Cognos is a futuristic platform with many robust features, it takes time to grasp all the features and how they work, so there is a learning curve. The more I use this platform, the more ...
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Cognos, Cognos Analytics, IBM Cognos Analytics
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
More than 23,000 leading organizations across multiple industries use Cognos. Some examples of Cognos customers include BMW Financial Services, Quinte Health Care, Troy Corporation, Michigan State University, and GKN Land System.
Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: January 2026.
881,455 professionals have used our research since 2012.