IBM Cognos Analytics vs. Microsoft BI (MSBI)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cognos Analytics
Score 6.9 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
Microsoft BI (MSBI)
Score 7.2 out of 10
N/A
Microsoft BI is a business intelligence product used for data analysis and generating reports on server-based data. It features unlimited data analysis capacity with its reporting engine, SQL Server Reporting Services alongside ETL, master data management, and data cleansing.
$14
per month per user
Pricing
IBM Cognos AnalyticsMicrosoft BI (MSBI)
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
Power BI Pro
$14
per month per user
Power BI Premium
$24
per month per user
Offerings
Pricing Offerings
IBM Cognos AnalyticsMicrosoft BI (MSBI)
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 AnalyticsMicrosoft BI (MSBI)
Features
IBM Cognos AnalyticsMicrosoft BI (MSBI)
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Cognos Analytics
7.0
Ratings
15% below category average
Microsoft BI (MSBI)
8.7
Ratings
6% above category average
Pixel Perfect reports6.80 Ratings9.00 Ratings
Customizable dashboards7.30 Ratings8.00 Ratings
Report Formatting Templates6.90 Ratings9.00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Cognos Analytics
7.4
Ratings
9% below category average
Microsoft BI (MSBI)
8.8
Ratings
9% above category average
Drill-down analysis7.30 Ratings9.00 Ratings
Formatting capabilities7.00 Ratings8.00 Ratings
Integration with R or other statistical packages7.80 Ratings9.00 Ratings
Report sharing and collaboration7.40 Ratings9.00 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
Microsoft BI (MSBI)
9.0
Ratings
8% above category average
Publish to Web8.30 Ratings9.00 Ratings
Publish to PDF7.00 Ratings9.00 Ratings
Report Versioning8.60 Ratings9.00 Ratings
Report Delivery Scheduling7.00 Ratings9.00 Ratings
Delivery to Remote Servers8.10 Ratings9.00 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
Microsoft BI (MSBI)
9.0
Ratings
12% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)6.80 Ratings9.00 Ratings
Location Analytics / Geographic Visualization7.10 Ratings9.00 Ratings
Predictive Analytics6.40 Ratings9.00 Ratings
Pattern Recognition and Data Mining6.60 Ratings9.00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM Cognos Analytics
7.4
Ratings
14% below category average
Microsoft BI (MSBI)
9.0
Ratings
6% above category average
Multi-User Support (named login)8.00 Ratings9.00 Ratings
Role-Based Security Model7.80 Ratings9.00 Ratings
Multiple Access Permission Levels (Create, Read, Delete)6.10 Ratings9.00 Ratings
Report-Level Access Control7.30 Ratings9.00 Ratings
Single Sign-On (SSO)7.70 Ratings9.00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM Cognos Analytics
7.6
Ratings
3% below category average
Microsoft BI (MSBI)
8.5
Ratings
8% above category average
Responsive Design for Web Access7.60 Ratings8.00 Ratings
Mobile Application7.90 Ratings8.00 Ratings
Dashboard / Report / Visualization Interactivity on Mobile8.90 Ratings10.00 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
Microsoft BI (MSBI)
8.8
Ratings
12% above category average
REST API7.50 Ratings9.00 Ratings
Javascript API8.50 Ratings9.00 Ratings
iFrames8.30 Ratings9.00 Ratings
Java API6.90 Ratings9.00 Ratings
Themeable User Interface (UI)7.10 Ratings9.00 Ratings
Customizable Platform (Open Source)7.80 Ratings8.00 Ratings
Best Alternatives
IBM Cognos AnalyticsMicrosoft BI (MSBI)
Small Businesses
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Score 9.1 out of 10
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Score 9.1 out of 10
Medium-sized Companies
Reveal
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Score 10.0 out of 10
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Score 10.0 out of 10
Enterprises
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Score 9.9 out of 10
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Score 9.9 out of 10
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User Ratings
IBM Cognos AnalyticsMicrosoft BI (MSBI)
Likelihood to Recommend
7.2
(0 ratings)
9.0
(0 ratings)
Likelihood to Renew
9.4
(0 ratings)
8.0
(0 ratings)
Usability
8.1
(0 ratings)
8.9
(0 ratings)
Availability
8.6
(0 ratings)
9.5
(0 ratings)
Performance
9.0
(0 ratings)
7.0
(0 ratings)
Support Rating
10.0
(0 ratings)
8.9
(0 ratings)
In-Person Training
8.7
(0 ratings)
6.9
(0 ratings)
Online Training
8.0
(0 ratings)
8.5
(0 ratings)
Implementation Rating
7.0
(0 ratings)
9.6
(0 ratings)
Configurability
7.0
(0 ratings)
10.0
(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 AnalyticsMicrosoft BI (MSBI)
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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The Microsoft BI suite of tools, which comprises tools from the SQL Server suite, provides end-to-end features and functionality for businesses of any size. Users who need dashboards and reports fast will benefit from this tool. It’s simple to connect to databases, cloud storage systems, and CSV files of any type. This makes the dashboards suitable for a more rapid presentation workflow because we can easily incorporate them into PowerPoint presentations. Enterprise and standard editions are both available for some tools.
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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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  • The layout of Power BI is very intuitive. Someone that is familiar with Excel and working with Charts and Graphs in that environment will find the learning curve a rather short one to start using Power BI.
  • I like the way Power BI fits an assortment of users and how the functionality that you engage is replicated in Excel, that being Power Query and Power Pivot. So what you learn in one tool can be readily applied towards the other which allows you to more effectively apply your training.
  • I appreciate how Microsoft is working to develop tools that go a long ways to empowering the end user. Prior to Power BI I would have had to consult with a "BI" professional to develop a dashboard. With Power BI I don't have to consult with anyone, I can work to put together the dash board I want and using a tool set that is really robust and allows me to engage an enormous amount of data. It's provides a great deal of flexibility and the types of data I can connect to.
  • Updates...Microsoft is working diligently to keep Power BI current with monthly updates. They do a really good job of listening to the end user, if there is functionality not currently present just give them a month or so.
  • Just to be clear, even though it's easy to get going right out of the gate with Power BI it provides plenty of opportunities to create some really sophisticated reporting solutions. With DAX in Power Pivot and M language in Power Query, you are provided with plenty of head room to do some really amazing things in Power BI.
  • Training...there are resources across the web for learning and growing your skills and Power BI. And what's even better is the majority of those resources are free.
  • Data engagement, when presenting the data to the end user Power BI goes a long way to allowing that end user to engage the data and begin to identify root cause by simply interacting with the graph/chart/data set. It allows for really fluid engagement. Prior to Power BI so many times during the presentation of data we often times ended the engagement with that data with more questions than what were answered. With Power BI, more often than not, the end user is able to get answers to the questions by simply clicking on the data in the graph/chart/dataset to see the details. This tool really does have the capacity to make you look like a rock star.
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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 race to perfect gathering of Non-Traditional datasets is on-going; with Microsoft arguably not the leader of the pack in this category.
  • Licensing options for PowerBI visualizations may be a factor. I.e. if you need to implement B2C PowerBI visualizations, the cost is considerably high especially for startups.
  • Some clients are still resistant putting their data on the cloud, which restricts lots of functionality to Power BI.
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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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Microsoft BI is fundamental to our suite of BI applications. That being said, Northcraft Analytics is focused on delighting our customers, so if the underlying factors of our decision change, we would choose to re-write our BI applications on a different stack. Luckily, mathematics are the fundamental IP of our technology... and is portable across all BI platforms for the foreseeable future.
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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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Usability is great. This product will make most feel right at home. I feel like this question should be asked from two points of view: 1. Creator of reports, Data Models, Views etc: Most Advanced users will still rate the usability as very high. Its capabilities are still robust. However when compared to other Enterprise Class products it will not do many of the advanced application queries. 2. End user, Consumer: All end users will feel right at home. Many will be able to create connections to already created data models and other external publicly available sources like twitter, Facebook, World Health order etc... These connections are then in turn very very easily available to publish to SharePoint and Power BI. It took me a while to understand what I think is Microsoft's strategy. This will handle all but the most of robust needs. Much like many American made cars and my favorite Corvette, Microsoft is fast, has it own break downs from time to time but all of these are really to tolerate when the price is considered and the next one up that can out perform it is three to four times as much money makes this an easy one to still recommend
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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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Reports are stable and always avaiable when needed.
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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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SQL Server Reporting Services (SSRS) can drag at times. We created two report servers and placed them under an F5 load balancer. This configuration has worked well. We have seen sluggish performance at times due to the Windows Firewall.
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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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While support from Microsoft isn't necessarily always best of breed, you're also not paying the price for premium support that you would on other platforms. The strength of the stack is in the ecosystem that surrounds it. In contrast to other products, there are hundreds, even thousands of bloggers that post daily as well as vibrant user communities that surround the tool. I've had much better luck finding help with SQL Server related issues than I have with any other product, but that help doesn't always come directly from Microsoft.
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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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This training was more directed toward what the product was capable of rather than actual programming.
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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 have used on-line training from Microsoft and from Pragmatic Works. I would recommend Pragmatic Works as the best way to get up to speed quickly, and then use the Microsoft on-line training to deep dive into specific features that you need to get depth with.
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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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We are a consulting firm and as such our best resources are always billing on client projects. Our internal implementation has weaknesses, but that's true for any company like ours. My rating is based on the product's ease of implementation.
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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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MSBI for my company is a like using a car that has a good balance of features, is easy to use, has good support, and works well with other things or requirement you may have. We specifically chose it because it is one of the promising platform whose support team will never let us down. Plus all the features of MSBI are A1 and productive according to my team's analysis.
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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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  • As it came "in the box" with necessary SQL Server RDBMS purchases, the ROI for the BI components are high as there was no incremental cost.
  • Has provided standard reporting for most of the organization available via highly formatted PDF or Excel versions.
  • Has provided ad-hoc analytics using SSAS in conjunction with Excel.
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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.