IBM Cognos Analytics vs. Tableau Public

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cognos Analytics
Score 7.0 out of 10
N/A
IBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.
$10
per month per user
Tableau Public
Score 9.5 out of 10
N/A
Tableau Public is a free edition of the Desktop product. With this edition, data can only be published to the Tableau public website and does not allow work to be saved or exported locally.N/A
Pricing
IBM Cognos AnalyticsTableau Public
Editions & Modules
On Demand - Standard
USD 10.00
per month per user
On Demand - Premium
USD 42.40
per month per user
On Demand - Standard
USD 10.60
per month per user
No answers on this topic
Offerings
Pricing Offerings
IBM Cognos AnalyticsTableau Public
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cognos AnalyticsTableau Public
Features
IBM Cognos AnalyticsTableau Public
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Cognos Analytics
6.9
Ratings
17% below category average
Tableau Public
9.8
Ratings
15% above category average
Pixel Perfect reports6.70 Ratings9.70 Ratings
Customizable dashboards7.30 Ratings10.00 Ratings
Report Formatting Templates6.90 Ratings9.70 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Cognos Analytics
7.3
Ratings
10% below category average
Tableau Public
9.7
Ratings
19% above category average
Drill-down analysis7.30 Ratings9.80 Ratings
Formatting capabilities7.00 Ratings9.70 Ratings
Integration with R or other statistical packages7.80 Ratings9.50 Ratings
Report sharing and collaboration7.30 Ratings9.80 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Cognos Analytics
7.8
Ratings
6% below category average
Tableau Public
9.5
Ratings
12% above category average
Publish to Web8.30 Ratings10.00 Ratings
Publish to PDF7.00 Ratings10.00 Ratings
Report Versioning8.60 Ratings9.80 Ratings
Report Delivery Scheduling6.90 Ratings9.60 Ratings
Delivery to Remote Servers8.10 Ratings8.10 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM Cognos Analytics
6.7
Ratings
17% below category average
Tableau Public
9.8
Ratings
19% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)6.80 Ratings9.80 Ratings
Location Analytics / Geographic Visualization7.00 Ratings9.80 Ratings
Predictive Analytics6.40 Ratings9.70 Ratings
Pattern Recognition and Data Mining6.60 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM Cognos Analytics
7.3
Ratings
15% below category average
Tableau Public
-
Ratings
Multi-User Support (named login)7.90 Ratings00 Ratings
Role-Based Security Model7.70 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)6.10 Ratings00 Ratings
Report-Level Access Control7.20 Ratings00 Ratings
Single Sign-On (SSO)7.70 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM Cognos Analytics
7.5
Ratings
5% below category average
Tableau Public
-
Ratings
Responsive Design for Web Access7.50 Ratings00 Ratings
Mobile Application7.90 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile8.90 Ratings00 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
IBM Cognos Analytics
7.7
Ratings
1% below category average
Tableau Public
-
Ratings
REST API7.40 Ratings00 Ratings
Javascript API8.50 Ratings00 Ratings
iFrames8.30 Ratings00 Ratings
Java API6.90 Ratings00 Ratings
Themeable User Interface (UI)7.10 Ratings00 Ratings
Customizable Platform (Open Source)7.80 Ratings00 Ratings
User Ratings
IBM Cognos AnalyticsTableau Public
Likelihood to Recommend
7.1
(0 ratings)
8.5
(0 ratings)
Likelihood to Renew
9.4
(0 ratings)
9.1
(0 ratings)
Usability
8.1
(0 ratings)
10.0
(0 ratings)
Availability
8.6
(0 ratings)
-
(0 ratings)
Performance
9.0
(0 ratings)
-
(0 ratings)
Support Rating
10.0
(0 ratings)
9.6
(0 ratings)
In-Person Training
8.7
(0 ratings)
-
(0 ratings)
Online Training
8.0
(0 ratings)
9.0
(0 ratings)
Implementation Rating
7.0
(0 ratings)
9.1
(0 ratings)
Configurability
7.0
(0 ratings)
-
(0 ratings)
Ease of integration
6.0
(0 ratings)
-
(0 ratings)
Product Scalability
8.2
(0 ratings)
-
(0 ratings)
Vendor post-sale
7.0
(0 ratings)
-
(0 ratings)
Vendor pre-sale
7.0
(0 ratings)
-
(0 ratings)
User Testimonials
IBM Cognos AnalyticsTableau Public
Likelihood to Recommend
I use predictive analytics techniques, which can help me predict my future sales based on collected data, giving me insight into my market's trends.This market data can be analyzed, giving me the opportunity to gain in-depth insight into my market's competition and positioning it competitively, aided by developing strategies to improve my marketing approach.
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Tableau Public is great, especially if you're new to the platform or considering implementing it within an organization. The Public version has most of the capabilities of the full version, with extensive community documentation to troubleshoot issues you may run into. Additionally, there are many resources to check out Public workbooks from other users and communities: a GREAT learning resource to figure out new, innovative ways to visualize and present data. It is perfect for evaluating public datasets, for doing exploratory data analysis, or contributing to cross-organizational or extracurricular projects that may benefit from more sophisticated data analysis and exploration. Tableau Public, because it stores to the cloud and has limitations on connectivity (ie, cannot connect to SQL servers) is not suited for confidential, financial, PII, etc., data, and care should be taken to avoid including sensitive data in any of the Tableau Public workbooks used by an individual or organization.
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Pros
  • Data Visualization: Plenty of options exist for multiple use cases, and dashboards are easy to implement and customize.
  • Integration with IBM Watson: makes it easy to use Watson AI features (NLP etc.) on your data.
  • Its advanced analytics functionalities with powerful pattern detection/prediction models.
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  • Tableau Public can work with data that are differently formatted, such as MS Excel, .txt file, Google Sheets, not sure about MS Access.
  • GUI interface of Tableau Public is not that hard to start working on; Also, it can generate codes for the operations and so it is relatively easy to visualize and correct mistakes.
  • Lots of Tableau Public users upload their work to the online community, users can easily find very good figures/graphs that are similar to their problems and so they can use these figures/graphs as templates to modify and make their own ones.
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Cons
  • API integration is not upto the mark with very limited options.
  • Laptops get overheated when the tool is used from moderate to heavy use. Also, there is a lag in the tool times.
  • Licensing & Maintenance can go from cheap to expensive depending on the scope.
  • Lot of scope to improve the customer support & its not upto the industry standards.
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  • The biggest drawback to the Public version of Tableau is that any data used in the program is 'public' and therefore not secure: workbooks are saved to the cloud, rather than locally
  • Tableau Public limits data ingestion to 10 million rows per source
  • Limited connections - can't connect to SQL databases to ingest data (must be through CSV, Access, TDE, or text files)
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Likelihood to Renew
It took my BI team one year to become productive at developing useful content on the IBM Cognos platform. After this year, the reports being developed for a client were stale and no longer relative to the ever changing needs of the business client. Given the same opportunity, I would select a platform that allows the team to quickly produce BI content. Fail fast and recover quickly!
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It's free, right? I'll keep using the free version. So the real question to ask is this? Will I pay $999 for the Personal version or $1,999 for the Professional? Yikes! That is a big stretch. I'm not sure about that. The product comparison chart is at: http://www.tableausoftware.com/public/comparison
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Usability
We have a strong user base (3500 users) that are highly utilizing this tool. Basic users are able to consume content within the applied security model. We have a set of advanced users that really push the limits of Cognos with Report and Query Studio. These users have created a lot of personal content and stored it in 'My Reports'. Users enjoy this flexibility.
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Tableau public is a great training tool to understand the basics of Tableau before buying it. A great tool to extend Excel's visualization and to publish data for others. Not useful for anything you need secure. No ability to access databases. Static information only.
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Reliability and Availability
Reports can typically be viewed through any browser that can access the server, so the availability is ultimately up to what the company utilizing it is comfortable with allowing, though report development tends to be more picky about browsers and settings as mentioned above. It also has an optional iPad app and general mobile browsing support, but dashboards lack the mobile compatibility. What keeps it from getting a higher score is the desktop tools that are vital to the development process. The compatibility with only Windows when the server has a wide range of compatibility can be a real sore point for a company that outfits its employees exclusively with Mac or Linux machines. Of course, if they are planning on outsourcing the development anyways, it's a rather moot point
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No answers on this topic
Performance
Overall no major complaints but it doesn't handle DMR (Dimensionally Modeled for Relational) very well. DMR modelling is a capability that IBM Cognos Framework Manager provides allowing you to specify dimensional information for relational metadata and allows for OLAP-style queries. However, the capability is not very efficient and, for example, if I'm using only 2 columns on a 20-column model, the software is not smart enough to exclude 18 columns and the query side gets progressively larger and larger until it's effectively unusable.
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No answers on this topic
Support Rating
Why is their web application not working as fast as you think it should? They never know, and it is always a a bunch of shots in the dark to find out. Trying to download software from them is like trying to find a book at the library before computers were invented.
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I have not yet required to contact support as the documentation and help i found online has always worked so far
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In-Person Training
Onsite training provided by IBM Cognos was effective and as expected. They did not perform training with our data which was a bit difficult for our end-users.
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No answers on this topic
Online Training
The online courses they offer are thorough and presented in such a way that someone who isn't already familiar with the general design methodologies used in this field will be capable of making a good design. The training environments are provided as a fully self contained virtual machine with everything needed already to create the environments. We've had some persisting issues with the environments becoming unavailable, but support has been responsive when these issues arise and straightening them out for us
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I found it sufficient, and fast. I could easily "kick the tires" with Tableau on my data so I got up and running fast.
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Implementation Rating
The implementation was handled very well. The initial implementation exposed a lot of disagreement between our campuses and departments as to how we define data. This was not entirely unexpected, but I thought that we did a nice job as a team to work through some of these challenges.
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Start at the end and work backward. Identify the business case / issue and questions the end users have, then identify the data needed, and where to get it.
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Alternatives Considered
Power BI is stronger for quick ad-hoc analysis and dashboards, but IBM Cognos Analytics is better when consistency, precision, and mass distribution matter. Tableau is best for interactive analysis, while IBM Cognos Analytics is better for standardized, repeatable enterprise reporting. Sigma shines for customizable dashboards and drill-down analysis while IBM Cognos Analytics holds an edge in data discovery and visualization.
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Tableau public is Free and no subscription is required whereas Tableau Desktop is a paid subscription. if there is no private or confidential data it's easy to Tableau public and share reports with people. Tableau public has same features and options same as desktop. its easy for students or beginners to signup and start learning/build reports.
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Scalability
The Cognos architecture is well suited for scalability. However, the architecture must be designed with scalability in mind from day one of the implementation. We recently upgraded from 10.1 to 10.2.1 and took the opportunity to revamp our architecture. It is now poised for future growth and scalability.
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No answers on this topic
Return on Investment
  • The platform can be pretty pricey.
  • Convoluted contracts and they fine you for any breach during audits.
  • Things are changed between releases without any warning and break.
  • It is second to none at being able to customize list and crosstab type reports.
  • You can easily set up a report to be emailed out every day and even have it export the report to a shared folder.
  • On-prem environments can be scaled up pretty much as much as you would like.
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  • We have saved costs on Dashboarding tools thanks to the free tools within Tableau Public
  • Streamlined reporting
  • Time saved with easier data preparation features
  • Professional looking dashboards and visualisations
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ScreenShots

IBM Cognos Analytics Screenshots

Screenshot of a natural language query, used in IBM Cognos Analytics to get AI-powered insights from data.Screenshot of AI-generated insights and forecasts that can be added with just a click of a button.Screenshot of a dashboard that can be generated automatically using IBM Cognos Analytics by uploading or selecting data.Screenshot of an AI-generated dashboard from a spreadsheet that was just uploaded. This offers a great starting point for the creative process.Screenshot of where to import data to IBM Cognos Analytics from CSV files and spreadsheets. Users can connect to cloud or on-premises data sources, including SQL databases, Google BigQuery, Amazon, and Redshift.Screenshot of a sample operational dashboard of a coffee shop created using IBM Cognos Analytics.