Google Cloud AI vs. IBM Cognos Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Google Cloud AI
Score 8.4 out of 10
N/A
Google Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.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
Google Cloud AIIBM 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
Google Cloud AIIBM 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
Google Cloud AIIBM Cognos Analytics
Considered Both Products
Google Cloud AI
Chose Google Cloud AI
We decided to use the Google tool because it is better suited to our needs as a team. The other tools seemed very interesting to us, but what made us choose the Google tool is that with the others we would have had to have chosen another tool from the same provider in order to …
IBM Cognos Analytics

No answer on this topic

Top Pros
Top Cons
Features
Google Cloud AIIBM Cognos Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Google Cloud AI
-
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
Google Cloud AI
-
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
Google Cloud AI
-
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
Google Cloud AI
-
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
Google Cloud AI
-
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
Google Cloud AI
-
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
Google Cloud AI
-
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
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Google Cloud AIIBM Cognos Analytics
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User Ratings
Google Cloud AIIBM Cognos Analytics
Likelihood to Recommend
10.0
(6 ratings)
8.1
(128 ratings)
Likelihood to Renew
10.0
(1 ratings)
9.8
(27 ratings)
Usability
10.0
(1 ratings)
8.0
(8 ratings)
Availability
-
(0 ratings)
8.6
(4 ratings)
Performance
-
(0 ratings)
9.0
(5 ratings)
Support Rating
7.3
(3 ratings)
10.0
(8 ratings)
In-Person Training
-
(0 ratings)
8.7
(4 ratings)
Online Training
-
(0 ratings)
8.0
(4 ratings)
Implementation Rating
10.0
(1 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
Google Cloud AIIBM Cognos Analytics
Likelihood to Recommend
Google
Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
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
Google
  • good conversion from the voice to the text
  • speed in the conversion from voice to text
  • time-saving in the conversion activity
  • analysis of the results of the conversion in real time
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
Google
  • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
  • Customization of existing modules and libraries is harder and it does need time and experience to learn.
  • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
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.
Read full review
Likelihood to Renew
Google
We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
Read full review
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
Google
So far we have not had any problems with the application, it is extremely easy to use and it is also easy to install. It does not require much training since the instruction is quite clear for its execution and application in the procedures of the company. The team in charge of this application is very pleased to work with this app.
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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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Reliability and Availability
Google
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
Google
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
Google
Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
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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
Google
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
Google
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
Google
In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
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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
Google
These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from 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
Google
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
Google
  • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
  • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
  • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
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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