IBM Cognos Analytics vs. SAS Viya

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cognos Analytics
Score 7.6 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
SAS Viya
Score 10.0 out of 10
N/A
An end-to-end platform for AI, data science, and analytics, used for modeling, as well as management and deployment of AI models.N/A
Pricing
IBM Cognos AnalyticsSAS Viya
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 AnalyticsSAS Viya
Free Trial
YesYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM Cognos AnalyticsSAS Viya
Considered Both Products
IBM Cognos Analytics
SAS Viya

No answer on this topic

Features
IBM Cognos AnalyticsSAS Viya
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Cognos Analytics
7.5
129 Ratings
9% below category average
SAS Viya
-
Ratings
Pixel Perfect reports7.4119 Ratings00 Ratings
Customizable dashboards7.7125 Ratings00 Ratings
Report Formatting Templates7.4121 Ratings00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Cognos Analytics
7.5
129 Ratings
7% below category average
SAS Viya
-
Ratings
Drill-down analysis7.0126 Ratings00 Ratings
Formatting capabilities7.6128 Ratings00 Ratings
Integration with R or other statistical packages7.491 Ratings00 Ratings
Report sharing and collaboration8.1122 Ratings00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Cognos Analytics
8.1
127 Ratings
2% below category average
SAS Viya
-
Ratings
Publish to Web8.327 Ratings00 Ratings
Publish to PDF7.6121 Ratings00 Ratings
Report Versioning8.626 Ratings00 Ratings
Report Delivery Scheduling8.1123 Ratings00 Ratings
Delivery to Remote Servers8.112 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM Cognos Analytics
7.0
116 Ratings
13% below category average
SAS Viya
-
Ratings
Pre-built visualization formats (heatmaps, scatter plots etc.)7.5111 Ratings00 Ratings
Location Analytics / Geographic Visualization7.5106 Ratings00 Ratings
Predictive Analytics6.5102 Ratings00 Ratings
Pattern Recognition and Data Mining6.339 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM Cognos Analytics
7.4
121 Ratings
14% below category average
SAS Viya
-
Ratings
Multi-User Support (named login)7.3118 Ratings00 Ratings
Role-Based Security Model7.3117 Ratings00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)6.6116 Ratings00 Ratings
Report-Level Access Control7.846 Ratings00 Ratings
Single Sign-On (SSO)8.1100 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM Cognos Analytics
6.5
101 Ratings
18% below category average
SAS Viya
-
Ratings
Responsive Design for Web Access6.895 Ratings00 Ratings
Mobile Application6.785 Ratings00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile6.991 Ratings00 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
IBM Cognos Analytics
7.5
81 Ratings
3% below category average
SAS Viya
-
Ratings
REST API7.278 Ratings00 Ratings
Javascript API7.575 Ratings00 Ratings
iFrames8.39 Ratings00 Ratings
Java API6.911 Ratings00 Ratings
Themeable User Interface (UI)7.110 Ratings00 Ratings
Customizable Platform (Open Source)7.87 Ratings00 Ratings
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User Ratings
IBM Cognos AnalyticsSAS Viya
Likelihood to Recommend
7.5
(146 ratings)
8.0
(11 ratings)
Likelihood to Renew
8.2
(30 ratings)
4.5
(5 ratings)
Usability
7.3
(9 ratings)
6.1
(2 ratings)
Availability
8.6
(4 ratings)
10.0
(1 ratings)
Performance
9.0
(5 ratings)
9.0
(1 ratings)
Support Rating
1.0
(9 ratings)
10.0
(3 ratings)
In-Person Training
8.7
(4 ratings)
9.0
(1 ratings)
Online Training
8.0
(4 ratings)
8.0
(1 ratings)
Implementation Rating
7.0
(7 ratings)
9.0
(1 ratings)
Configurability
7.0
(3 ratings)
10.0
(1 ratings)
Ease of integration
5.7
(5 ratings)
8.0
(1 ratings)
Product Scalability
2.8
(4 ratings)
9.0
(1 ratings)
Vendor post-sale
7.0
(1 ratings)
10.0
(1 ratings)
Vendor pre-sale
7.0
(1 ratings)
10.0
(1 ratings)
User Testimonials
IBM Cognos AnalyticsSAS Viya
Likelihood to Recommend
IBM
IBM Cognos Analytics has great scheduling capabilities. A single report can be parameterized (e.g., “Store Manager ID”) and burst to thousands of recipients with their slice of data.IBM Cognos Analytics is a good fit for highly complex, multi-level calculations which can be handled by Report Studio. For example Monthly balance sheet that requires multi step calculation
Read full review
SAS
SAS Advance Analytics is well suited for data that is visual. Data where you want to see multiple graphs and models are good for this software. However, if your data is more descriptive this may not be the best program. SAS is well suited for data where you need to make comparisons on the feasibility of two different programs. Data that can be compared is perfect for this software.
Read full review
Pros
IBM
  • We can make dozens of dispatchers all focusing on different types of workloads.
  • Friendly user interface, without the need for coding or complicated editing.
  • Highly functionality reporting tools.
  • We can easily create trigger when a certain threshold are met sending reports or alerts to needed parties.
Read full review
SAS
  • SAS is can be used as query builder tool which can automate a lot of excel process.
  • There are variety of statistical options available that tie up good visual analytics.
  • There are inbuilt models available for different operations which doesn't require any coding and are easy to run.
Read full review
Cons
IBM
  • IBM Cognos Analytics enables customer data segmentation, which is essential for marketing, improving and streamlining purchasing behavior and preferences. This helps companies create more targeted and effective marketing campaigns.
  • Our clients Through data analysis, we can identify and observe trends in the behavior of other clients, allowing us to anticipate needs and adjust strategies to avoid consequences.
Read full review
SAS
  • SAS Analytics does not have very good graphic capabilities. Their advanced graphics packages are expensive, and still not very appealing or intuitive to customize.
  • SAS Analytics is not as up-to-date when it comes to advanced analytical techniques as R or other open-source analytics packages.
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Likelihood to Renew
IBM
For an existing solution, renewing licenses does provide a good return on investment. Additionally, while rolling out scorecards and dashboards with little adhoc capabilities, to end users, cognos is very easily scalable. It also allows to create a solution that has a mix of OLAP and relational data-sources, which is a limitation with other tools. Synchronizing with existing security setup is easy too.
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SAS
Not only does SAS become easier to use as the user gets more familiar with its capabilities, but the customer service is excellent. Any issues with SAS and their technical team is either contacting the user via email, chat, text, WebEx, or phone. They have power users that have years of experience with SAS there to help with any issue.
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Usability
IBM
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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SAS
If SAS Enterprise Guide is utilized any beginning user will be able to shorten the learning curve. This is allow the user a plethora of basic capabilities until they can utilize coding to expand their needs in manipulating and presenting data. SAS is also dedicated to expanding this environment so it is ever growing.
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Reliability and Availability
IBM
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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SAS
SAS probably has the most market saturation out of all of the analytics software worldwide. They are in every industry and they are knowledgable about every industry. They are always available to take questions, solve issues, and discuss a company's needs. A company that buys SAS software has a dedicated representative that is there for all of their needs.
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Performance
IBM
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.
Read full review
SAS
Although nothing is perfect, SAS is almost there. The software can handle billions of rows of data without a glitch and runs at a quick pace regardless of what the user wants to perform. SAS products are made to handle data so performance is of their utmost important. The software is created to run things as efficiently as SAS software can to maximize performance.
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Support Rating
IBM
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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SAS
SAS is generally known for good support that's one of the main reasons to justify the cost of having SAS licenses within our organization is knowing that customer support is just a quick phone call away. I've usually had good experiences with the SAS customer support team it's one of the ways in which the company stands out in my view.
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In-Person Training
IBM
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.
Read full review
SAS
SAS has regional and national conferences that are dedicated to expanding users' knowledge of the software and showing them what changes and additions they are making to the software. There are user groups in most of the major cities that also provide multi-day seminars that focus on specific topics for education. If online training isn't the best way for the user, there is ample in-person training available.
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Online Training
IBM
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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SAS
There are online videos, live classes, and resource material which makes training very easy to access. However, nothing is circumstantial so applying your training can get tricky if the user is performing complex tasks. When purchasing software, SAS will also allocate education credits so the user(s) can access classes and material online to help expand their knowledge.
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Implementation Rating
IBM
Make sure that any custom tables that you have, are built into your metadata packages. You can still access them via SQL queries in Cognos, but it is much easier to have them as a part of the available metadata packages.
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SAS
Ask as many questions you can before the install to understand the process. Since a third party does the installation your company is sort of a passanger and it is easy to get lost in the process. It also helps to have all users and IT support involved in the install to help increase the knowledge as to how SAS runs and what it needs to perform correctly.
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Alternatives Considered
IBM
My company selected IBM Congos Analytics because of its advanced features and data representation for data analysis. Its row and column features are very effective for creating dashboards and reports to visualize data. It's chart representation and view format are very attractive and useful for representation.
Read full review
SAS
SAS was the incumbent tool, and what the team knew. We did look into using Revolution Analytics enterprise version of R, but the learning curve on that caused us to stick with SAS. In my current position, I've opted for WPS over SAS. I can still leverage my SAS experience, but the price is about 15% of what SAS charges, with extra functionality, such as direct database access. I can supplement WPS with free software, such R for anything that it might be missing.
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Scalability
IBM
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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SAS
It all depends on the type of SAS product the user has. Scaleability differs from product to product, and if the user has SAS Office Analytics the scaleability is quite robust. This software will satisfy the majority of the company's analytic needs for years to come. In addition, if SAS is not meeting the users needs the company can easily find SAS solutions that will.
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Return on Investment
IBM
  • We use the tool for data modeling as it helps in predictive data analysis for complex data, which is very similar to real-life scenarios.
  • Options of customizing & scheduling reports as per our requirements basis.
  • Has mobile application which works seamless.
  • API integration is not upto the mark with very limited options.
  • Licensing & Maintenance can go from cheap to expensive depending on the scope.
Read full review
SAS
  • SAS is pretty expensive, so a company would need to take that into consideration before purchasing a license.
  • A lot of companies are now starting to use SAS Advance Analytics, it is great for sharing data between departments.
  • Presentations come out better when using SAS, and estimates are more precise to the confidence interval.
Read full review
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.