Databricks vs IBM Cognos comparison

Cancel
You must select at least 2 products to compare!
Databricks Logo
28,492 views|18,008 comparisons
96% willing to recommend
IBM Logo
9,140 views|5,304 comparisons
91% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).
771,170 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Databricks integrates well with other solutions.""Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data.""The built-in optimization recommendations halved the speed of queries and allowed us to reach decision points and deliver insights very quickly.""Databricks helps crunch petabytes of data in a very short period of time.""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 solution is built from Spark and has integration with MLflow, which is important for our use case.""What I like about Databricks is that it's one of the most popular platforms that give access to folks who are trying not just to do exploratory work on the data but also go ahead and build advanced modeling and machine learning on top of that.""We have the ability to scale, collaborate and do machine learning."

More Databricks Pros →

"The three IBM Cognos features I find the most valuable are Dynamic Cubes, PowerPlay, and Watson.""We are able to generate quality reports easily which allows us to decrease response time.""The most valuable features are Report Development (Functionality) and Information Distribution (Flexibility).""If they want dashboarding, storytelling, and analyzing why KPIs are met or not, then Cognos is a better candidate than Qlik Sense.""We use IBM Cognos for enterprise analytics and reporting.""This solution allows you to input a wide range of file formats.""The most valuable feature of IBM Cognos is security. The solution has updated features that other competitors' solutions come out with long after IBM Cognos has had them.""In terms of stability, I think that Cognos is more stable than Tableau and Power Bi because of its framework manager concept that allows us to import metadata and store it in the framework manager."

More IBM Cognos Pros →

Cons
"The product could be improved by offering an expansion of their visualization capabilities, which currently assists in development in their notebook environment.""Can be improved by including drag-and-drop features.""Overall it's a good product, however, it doesn't do well against any individual best-of-breed products.""Databricks would have more collaborative features than it has. It should have some more customization for the jobs.""Doesn't provide a lot of credits or trial options.""Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster.""Pricing is one of the things that could be improved.""The solution has some scalability and integration limitations when consolidating legacy systems."

More Databricks Cons →

"IBM Cognos's error messages seem to be a bit ambiguous. An error will be encountered and a message will be sent out very ambiguous and after investigating the error message it could be any number of issues. There was never a direct answer to the question or a direct answer to the error messages. Sometimes it would be a generic error message for 21 different solutions. It wasn't very specific, which required a lot of digging around and trial and error trying to fix the problem. The messaging in their error messaging is something needing improvement.""The high cost of a license makes it hard to scale up on a budget.""Compared to Tableau and PowerBI, the IBM interface is easier to use. However, the drag-and-drop functionality isn't as straightforward. Formatting is also more challenging in the cloud than in other applications, like Power BI. Also, if you encounter an issue, it takes more time to resolve it on the formatting side.""There are a lot of limitations with the out-of-the-box tool.""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.""I would like to have predictive and forecasting capabilities in Cognos. It's one thing to do reporting, and another thing to easily predict or forecast certain data points, which is very important for all the clients.""Tableau and Power BI are faster than Cognos.""I would like for the platform to become more standard. If we make a development on our report and our dashboard, it will not be used in another solution. That means there is no portability for the developers."

More IBM Cognos Cons →

Pricing and Cost Advice
  • "Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."
  • "I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • More Databricks Pricing and Cost Advice →

  • "There is need to assess the purchase license accordingly so as to avoid audit penalties."
  • "The pricing and licensing policies are comparatively cheaper than other products in the market ."
  • "IBM Cognos offers competitive pricing similar to other BI vendors in the market."
  • "Pricing should be improved."
  • "The pricing of this product is meant for medium to large-scale enterprises."
  • "It is my understanding that the cost is very low. It's not very expensive."
  • "Cognos is super expensive compared to Tableau ($70/month) and Power BI ($20/month) — I think Cognos is roughly $200 a month."
  • "It is quite pricy. I think Microsoft BI is cheaper. Tableau might also be cheaper, but it also depends on the usage. If you have very many users, Cognos can be a problem. It could be cheaper than Tableau but not for so many users. If you have a few thousand users, Tableau, which is generally quite expensive, can be cheaper than Cognos."
  • More IBM Cognos Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    771,170 professionals have used our research since 2012.
    Comparison Review
    Anonymous User
    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools.
    Top Answer:The tool does not have much documentation on the internet. It is not easy to resolve issues by finding the reason for the problem on the internet. The tool needs to have more documentation on the… more »
    Ranking
    1st
    Views
    28,492
    Comparisons
    18,008
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    Views
    9,140
    Comparisons
    5,304
    Reviews
    13
    Average Words per Review
    449
    Rating
    8.2
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Cognos, Cognos Analytics, IBM Cognos Analytics
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “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.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    IBM Cognos Business Intelligence provides a wide range of tools to help you analyze your organization's data. IBM Cognos BI allows businesses to monitor events and metrics, create and view business reports, and analyze data to help them make effective business decisions.

    IBM Cognos applies techniques to describe, summarize, and compare data, and draw conclusions. This allows users to see trends and discover anomalies or variances that may not be evident by simply reading data. Data sources that contain information from different areas of a business can be stored in separate packages. Users can see only information that they have been granted access to, based on their group or role.

    IBM Cognos BI consolidates the following business intelligence functions into a single web-based solution:

    • IBM Cognos Insight: Create personal and managed workspaces for data analysis. Using these interactive workspaces, you can share insight results with managers. Cognos Insight supports write-back, and you can also use these workspaces to capture and integrate management goals, commitments, and forecasts.

    • IBM Cognos Workspace: With IBM Cognos Workspace, you can create rich, interactive workspaces using IBM Cognos content as well as data from external sources. You can view and open your favorite workspaces and reports, edit content in your workspaces, and share your workspaces via email.

    • IBM Cognos Analytics: IBM Cognos Analytics utilizes built-in AI and intuitive searches which helps users to quickly create the visualizations and a wide range of reports. Cognos Analytics provides cognitive and managed self-service, enabling you to gain insights from controlled and trusted data.

    • IBM Cognos Report Studio and IBM Cognos Query Studio: Easily create structured and query reports. IBM Cognos allows users to create application and report templates. In addition, report authors can reuse report objects to apply filters, fields, and styles to reports. Users can set the language of the user interface and report content according to the user's native language.

    • IBM Cognos Event Studio: Receive notifications of events that occur within your organization in real time. Event Studio enables the creation of agents that detect the occurrence of business events, failures, or anomalies, based on the change of specific events or data conditions. Notification can be sent via email, publication in the portal, or by triggering reports.

    • IBM Cognos Connection: This is the Web portal for IBM Cognos BI and is the central area for accessing all the IBM Cognos functions. In the web portal, users can schedule and distribute reports, create tasks, administer the server and the access permissions, and more.

    Reviews from Real Users

    IBM Cognos stands out among its competitors for a number of reasons. Two major ones are its powerful analysis tool and its reporting capabilities.

    Prasad B., a senior software engineer at a financial services firm, notes, “The product is a very good reporting tool and is very flexible. It allows for the users to get a scheduled report. We can receive automated reports as well. They are easy to schedule on a weekly or monthly basis. It is very fast. I mean in means of report output, it's very fast compared to the actual clients involved.”

    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.
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Manufacturing Company9%
    Retailer9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company9%
    Healthcare Company6%
    REVIEWERS
    Financial Services Firm14%
    Computer Software Company11%
    Insurance Company8%
    Healthcare Company8%
    VISITORS READING REVIEWS
    Educational Organization58%
    Financial Services Firm7%
    Computer Software Company5%
    Government4%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business23%
    Midsize Enterprise15%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business8%
    Midsize Enterprise62%
    Large Enterprise31%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    771,170 professionals have used our research since 2012.

    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.

    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.