Azure Data Factory vs. IBM Cognos Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Factory
Score 8.2 out of 10
N/A
Microsoft's Azure Data Factory is a service built for all data integration needs and skill levels. It is designed to allow the user to easily construct ETL and ELT processes code-free within the intuitive visual environment, or write one's own code. Visually integrate data sources using more than 80 natively built and maintenance-free connectors at no added cost. Focus on data—the serverless integration service does the rest.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
Azure Data FactoryIBM 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
Azure Data FactoryIBM 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
Azure Data FactoryIBM Cognos Analytics
Top Pros
Top Cons
Features
Azure Data FactoryIBM Cognos Analytics
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Azure Data Factory
9.1
7 Ratings
9% above category average
IBM Cognos Analytics
-
Ratings
Connect to traditional data sources9.27 Ratings00 Ratings
Connecto to Big Data and NoSQL9.07 Ratings00 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Azure Data Factory
8.5
7 Ratings
3% above category average
IBM Cognos Analytics
-
Ratings
Simple transformations9.27 Ratings00 Ratings
Complex transformations7.87 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Azure Data Factory
7.6
7 Ratings
6% below category average
IBM Cognos Analytics
-
Ratings
Data model creation8.35 Ratings00 Ratings
Metadata management7.46 Ratings00 Ratings
Business rules and workflow7.47 Ratings00 Ratings
Collaboration6.86 Ratings00 Ratings
Testing and debugging7.47 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Azure Data Factory
7.7
7 Ratings
8% below category average
IBM Cognos Analytics
-
Ratings
Integration with data quality tools7.37 Ratings00 Ratings
Integration with MDM tools8.07 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Azure Data Factory
-
Ratings
IBM Cognos Analytics
7.9
100 Ratings
3% below category average
Pixel Perfect reports00 Ratings8.591 Ratings
Customizable dashboards00 Ratings7.898 Ratings
Report Formatting Templates00 Ratings7.495 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Azure Data Factory
-
Ratings
IBM Cognos Analytics
8.1
102 Ratings
0% above category average
Drill-down analysis00 Ratings8.0100 Ratings
Formatting capabilities00 Ratings8.1101 Ratings
Integration with R or other statistical packages00 Ratings7.870 Ratings
Report sharing and collaboration00 Ratings8.498 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Azure Data Factory
-
Ratings
IBM Cognos Analytics
8.3
102 Ratings
0% below category average
Publish to Web00 Ratings8.327 Ratings
Publish to PDF00 Ratings8.796 Ratings
Report Versioning00 Ratings8.626 Ratings
Report Delivery Scheduling00 Ratings7.999 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
Azure Data Factory
-
Ratings
IBM Cognos Analytics
8.1
92 Ratings
1% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.187 Ratings
Location Analytics / Geographic Visualization00 Ratings8.284 Ratings
Predictive Analytics00 Ratings8.280 Ratings
Pattern Recognition and Data Mining00 Ratings8.019 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Azure Data Factory
-
Ratings
IBM Cognos Analytics
8.3
97 Ratings
3% below category average
Multi-User Support (named login)00 Ratings8.494 Ratings
Role-Based Security Model00 Ratings8.393 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.293 Ratings
Report-Level Access Control00 Ratings8.422 Ratings
Single Sign-On (SSO)00 Ratings8.375 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Azure Data Factory
-
Ratings
IBM Cognos Analytics
7.3
80 Ratings
9% below category average
Responsive Design for Web Access00 Ratings7.974 Ratings
Mobile Application00 Ratings7.365 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.271 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Azure Data Factory
-
Ratings
IBM Cognos Analytics
7.5
59 Ratings
5% below category average
REST API00 Ratings7.256 Ratings
Javascript API00 Ratings7.555 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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User Ratings
Azure Data FactoryIBM Cognos Analytics
Likelihood to Recommend
9.3
(7 ratings)
8.1
(125 ratings)
Likelihood to Renew
-
(0 ratings)
9.7
(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
7.0
(1 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
Azure Data FactoryIBM Cognos Analytics
Likelihood to Recommend
Microsoft
Well-suited Scenarios for Azure Data Factory (ADF): When an organization has data sources spread across on-premises databases and cloud storage solutions, I think Azure Data Factory is excellent for integrating these sources. Azure Data Factory's integration with Azure Databricks allows it to handle large-scale data transformations effectively, leveraging the power of distributed processing. For regular ETL or ELT processes that need to run at specific intervals (daily, weekly, etc.), I think Azure Data Factory's scheduling capabilities are very handy. Less Appropriate Scenarios for Azure Data Factory: Real-time Data Streaming - Azure Data Factory is primarily batch-oriented. Simple Data Copy Tasks - For straightforward data copy tasks without the need for transformation or complex workflows, in my opinion, using Azure Data Factory might be overkill; simpler tools or scripts could suffice. Advanced Data Science Workflows: While Azure Data Factory can handle data prep and transformation, in my experience, it's not designed for in-depth data science tasks. I think for advanced analytics, machine learning, or statistical modeling, integration with specialized tools would be necessary.
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).
Read full review
Pros
Microsoft
  • It allows copying data from various types of data sources like on-premise files, Azure Database, Excel, JSON, Azure Synapse, API, etc. to the desired destination.
  • We can use linked service in multiple pipeline/data load.
  • It also allows the running of SSIS & SSMS packages which makes it an easy-to-use ETL & ELT tool.
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
Microsoft
  • Limited source/sink (target) connectors depending on which area of Azure Data Factory you are using.
  • Does not yet have parity with SSIS as far as the transforms available.
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
Microsoft
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.
Read full review
Usability
Microsoft
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
Microsoft
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
Read full review
Performance
Microsoft
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.
Read full review
Support Rating
Microsoft
We have not had need to engage with Microsoft much on Azure Data Factory, but they have been responsive and helpful when needed. This being said, we have not had a major emergency or outage requiring their intervention. The score of seven is a representation that they have done well for now, but have not proved out their support for a significant issue
Read full review
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
Microsoft
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
Microsoft
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
Microsoft
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
Microsoft
The easy integration with other Microsoft software as well as high processing speed, very flexible cost, and high level of security of Microsoft Azure products and services stack up against other similar products.
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
Microsoft
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
Microsoft
  • It is very useful and make things easier
  • Debugging can improve
  • Its better suited than other products with the same objective
Read full review
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
Read full review
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