Amazon SageMaker vs. IBM Cognos Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon SageMaker
Score 8.3 out of 10
N/A
Amazon SageMaker enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.N/A
IBM Cognos Analytics
Score 8.2 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
Pricing
Amazon SageMakerIBM Cognos Analytics
Editions & Modules
No answers on this topic
On Demand - Standard
$10.00
per month per user
On Demand - Premium
$40.00
per month per user
Offerings
Pricing Offerings
Amazon SageMakerIBM Cognos Analytics
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
Amazon SageMakerIBM Cognos Analytics
Top Pros
Top Cons
Features
Amazon SageMakerIBM Cognos Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Amazon SageMaker
-
Ratings
IBM Cognos Analytics
7.9
103 Ratings
4% below category average
Pixel Perfect reports00 Ratings8.594 Ratings
Customizable dashboards00 Ratings7.8101 Ratings
Report Formatting Templates00 Ratings7.498 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Amazon SageMaker
-
Ratings
IBM Cognos Analytics
8.1
105 Ratings
0% below category average
Drill-down analysis00 Ratings8.1103 Ratings
Formatting capabilities00 Ratings8.1104 Ratings
Integration with R or other statistical packages00 Ratings7.873 Ratings
Report sharing and collaboration00 Ratings8.4101 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Amazon SageMaker
-
Ratings
IBM Cognos Analytics
8.3
105 Ratings
1% below category average
Publish to Web00 Ratings8.327 Ratings
Publish to PDF00 Ratings8.799 Ratings
Report Versioning00 Ratings8.626 Ratings
Report Delivery Scheduling00 Ratings8.0102 Ratings
Delivery to Remote Servers00 Ratings8.112 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Amazon SageMaker
-
Ratings
IBM Cognos Analytics
8.1
95 Ratings
0% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.090 Ratings
Location Analytics / Geographic Visualization00 Ratings8.287 Ratings
Predictive Analytics00 Ratings8.183 Ratings
Pattern Recognition and Data Mining00 Ratings8.022 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Amazon SageMaker
-
Ratings
IBM Cognos Analytics
8.3
100 Ratings
4% below category average
Multi-User Support (named login)00 Ratings8.497 Ratings
Role-Based Security Model00 Ratings8.396 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.296 Ratings
Report-Level Access Control00 Ratings8.425 Ratings
Single Sign-On (SSO)00 Ratings8.378 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Amazon SageMaker
-
Ratings
IBM Cognos Analytics
7.3
83 Ratings
9% below category average
Responsive Design for Web Access00 Ratings7.977 Ratings
Mobile Application00 Ratings7.368 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.174 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Amazon SageMaker
-
Ratings
IBM Cognos Analytics
7.5
62 Ratings
5% below category average
REST API00 Ratings7.359 Ratings
Javascript API00 Ratings7.658 Ratings
iFrames00 Ratings8.39 Ratings
Java API00 Ratings6.911 Ratings
Themeable User Interface (UI)00 Ratings7.110 Ratings
Customizable Platform (Open Source)00 Ratings7.87 Ratings
Best Alternatives
Amazon SageMakerIBM Cognos Analytics
Small Businesses
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
BrightGauge
BrightGauge
Score 8.9 out of 10
Medium-sized Companies
Google Cloud AI
Google Cloud AI
Score 8.4 out of 10
Reveal
Reveal
Score 9.9 out of 10
Enterprises
Dataiku
Dataiku
Score 7.9 out of 10
TIBCO Jaspersoft Community Edition
TIBCO Jaspersoft Community Edition
Score 9.7 out of 10
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User Ratings
Amazon SageMakerIBM Cognos Analytics
Likelihood to Recommend
9.0
(6 ratings)
8.1
(128 ratings)
Likelihood to Renew
-
(0 ratings)
9.8
(27 ratings)
Usability
-
(0 ratings)
8.0
(8 ratings)
Availability
-
(0 ratings)
8.6
(4 ratings)
Performance
-
(0 ratings)
9.0
(5 ratings)
Support Rating
-
(0 ratings)
10.0
(8 ratings)
In-Person Training
-
(0 ratings)
8.7
(4 ratings)
Online Training
-
(0 ratings)
8.0
(4 ratings)
Implementation Rating
-
(0 ratings)
7.0
(7 ratings)
Configurability
-
(0 ratings)
8.0
(2 ratings)
Ease of integration
-
(0 ratings)
7.3
(3 ratings)
Product Scalability
-
(0 ratings)
8.3
(3 ratings)
Vendor post-sale
-
(0 ratings)
7.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
7.0
(1 ratings)
User Testimonials
Amazon SageMakerIBM Cognos Analytics
Likelihood to Recommend
Amazon AWS
Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.
Read full review
IBM
Our first and most basic scenario was to automatize the creation and publication/sharing of business reports that used to be created manually by employees throughout our organization. Using Cognos for that first use case worked well. The advanced analytics functionalities we used on the aggregated data were also as expected. However, the user interface is not always intuitive, and there is a steep learning curve, so I would recommend Cognos only to large organizations where there is a need for the most advanced functionalities (AI analysis/prediction).
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Pros
Amazon AWS
  • Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
  • Customization and easy to alter and change.
  • If you already are an Amazon user, you do not need to transition over to another software.
Read full review
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.
Read full review
Cons
Amazon AWS
  • The UI can be eased up a bit for use by business analysts and non technical users
  • For huge amount of data pull from legacy solutions, the platform lags a bit
  • Considering ML is an emerging topic and would be used by most of the organizations in future, the pipeline integrations can be optimized
Read full review
IBM
  • Sometimes there might be performance issues when dealing with large and complex data.
  • Although IBM provides full documentation but sometimes it's difficult to find answers to questions and connect with their customer support.
  • It relies on external tools for data cleaning, transformation and also for some integration tasks. It can also improve on providing wider range of data sources for integration.
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Likelihood to Renew
Amazon AWS
No answers on this topic
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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Usability
Amazon AWS
No answers on this topic
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.
Read full review
Reliability and Availability
Amazon AWS
No answers on this topic
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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Performance
Amazon AWS
No answers on this topic
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.
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Support Rating
Amazon AWS
No answers on this topic
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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In-Person Training
Amazon AWS
No answers on this topic
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.
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Online Training
Amazon AWS
No answers on this topic
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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Implementation Rating
Amazon AWS
No answers on this topic
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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Alternatives Considered
Amazon AWS
Amazon SageMaker comes with other supportive services like S3, SQS, and a vast variety of servers on EC2. It's very comfortable to manage the process and also support the end application by one click hosting option. Also, it charges on the base of what you use and how long you use it, so it becomes less costly compared to others.
Read full review
IBM
In the past Management had used Excel and Workiva capabilities to create the reporting dashboards that were being used to make decisions. Since switching to IBM Cognos Analytics the Company has been much more efficient and decision making has been streamlined. IBM Cognos Analytics was chosen due to its reputation and data visualization capabilities and neither have been wrong.
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Scalability
Amazon AWS
No answers on this topic
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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Return on Investment
Amazon AWS
  • We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
  • We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
  • For our use-cases, serving models is less expensive with SageMaker than bespoke servers.
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IBM
  • High ROI with well designed solutions. Supported by scalable deployment, robust security model and ability to create valuable content.
  • High ROI where well designed data models can be deployed with a common metadata layer to a variety of users and use cases.
  • High ROI in an environment that includes a variety of vendors and best of breed products within the overall platform
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ScreenShots