Datadog vs. IBM Cognos Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.6 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
IBM Cognos Analytics
Score 7.8 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
DatadogIBM Cognos Analytics
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
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
Offerings
Pricing Offerings
DatadogIBM Cognos Analytics
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogIBM Cognos Analytics
Features
DatadogIBM Cognos Analytics
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Datadog
-
Ratings
IBM Cognos Analytics
7.5
111 Ratings
9% below category average
Pixel Perfect reports00 Ratings7.5101 Ratings
Customizable dashboards00 Ratings7.8109 Ratings
Report Formatting Templates00 Ratings7.2105 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Datadog
-
Ratings
IBM Cognos Analytics
7.6
113 Ratings
5% below category average
Drill-down analysis00 Ratings7.5110 Ratings
Formatting capabilities00 Ratings7.5112 Ratings
Integration with R or other statistical packages00 Ratings7.679 Ratings
Report sharing and collaboration00 Ratings7.9108 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Datadog
-
Ratings
IBM Cognos Analytics
8.0
112 Ratings
3% below category average
Publish to Web00 Ratings8.327 Ratings
Publish to PDF00 Ratings7.6106 Ratings
Report Versioning00 Ratings8.626 Ratings
Report Delivery Scheduling00 Ratings7.6109 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
Datadog
-
Ratings
IBM Cognos Analytics
7.4
103 Ratings
7% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.798 Ratings
Location Analytics / Geographic Visualization00 Ratings7.994 Ratings
Predictive Analytics00 Ratings7.191 Ratings
Pattern Recognition and Data Mining00 Ratings7.129 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Datadog
-
Ratings
IBM Cognos Analytics
7.9
108 Ratings
8% below category average
Multi-User Support (named login)00 Ratings8.0105 Ratings
Role-Based Security Model00 Ratings8.1104 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.1103 Ratings
Report-Level Access Control00 Ratings8.133 Ratings
Single Sign-On (SSO)00 Ratings8.087 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Datadog
-
Ratings
IBM Cognos Analytics
7.1
89 Ratings
10% below category average
Responsive Design for Web Access00 Ratings7.583 Ratings
Mobile Application00 Ratings7.273 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.179 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Datadog
-
Ratings
IBM Cognos Analytics
7.6
70 Ratings
2% below category average
REST API00 Ratings7.567 Ratings
Javascript API00 Ratings8.065 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
DatadogIBM Cognos Analytics
Likelihood to Recommend
9.4
(35 ratings)
7.5
(136 ratings)
Likelihood to Renew
-
(0 ratings)
8.7
(29 ratings)
Usability
7.6
(14 ratings)
7.3
(9 ratings)
Availability
-
(0 ratings)
8.6
(4 ratings)
Performance
-
(0 ratings)
9.0
(5 ratings)
Support Rating
8.9
(6 ratings)
1.4
(9 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)
7.0
(3 ratings)
Ease of integration
-
(0 ratings)
5.8
(5 ratings)
Product Scalability
-
(0 ratings)
3.0
(4 ratings)
Vendor post-sale
-
(0 ratings)
7.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
7.0
(1 ratings)
User Testimonials
DatadogIBM Cognos Analytics
Likelihood to Recommend
Datadog
Where Datadog is good: - Real-time Visibility During Incidents: During high-severity incidents, Datadog dashboards, coupled with real-time logging and APM traces, provide immediate insight into system health and enable fast triage. For example, we’ve used trace ID correlation between logs and APM to quickly identify downstream service failures due to network degradation during a major outage. - Service Ownership at Scale: With over 50 engineering teams, providing self-service monitoring is essential. We use Datadog monitors, SLO dashboards, and templates so teams can track their own service health without reinventing the wheel. Tagging and RBAC features help us scope data access appropriately. Where Datadog can improve: While Datadog’s logging capabilities are powerful, storing all application logs in Datadog can become cost-prohibitive at high volumes.
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IBM
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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Pros
Datadog
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
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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
Cons
Datadog
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
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IBM
  • 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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Likelihood to Renew
Datadog
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
Datadog
Datadog's user interface is quite friendly and easy to navigate. With menus clearly categorized, and ability to bookmark important dashboards, one can easily find what they're looking for. For dashboards, ability to move and resize visualizations and group them, is really helpful to organize dashboards. Automatic suggestions from Datadog for important visualizations based on the metrics and logs would provide another level of ease of use.
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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
Datadog
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
Datadog
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
Datadog
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
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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
Datadog
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
Datadog
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
Datadog
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
Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.
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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.
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Scalability
Datadog
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
Datadog
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
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IBM
  • Positive: It provides collaboration and sharing of knowledge with other users which provides centralized access to data and reports.
  • Positive: It helps organization to save time and be efficient as it provides self service analytics and automated workflows.
  • Positive: With its powerful analytics and reporting capabilities it enables user to explore and analyze their data, identify the trends and make decisions based on those insights.
  • Negative: Implementing Cognos Analytics will take investments on licensing cost, training and infrastructure.
  • Negative: As it provides many features and capabilities, it is an issue with organization having limited IT support configure and maintain the platform.
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ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.

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.