Datadog vs. IBM Concert

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 Concert
Score 7.9 out of 10
N/A
IBM Concert® provides AI-driven insights used to simplify and optimize IT operations across siloed tooling and datasets. Powered by IBM watsonx™, Concert® uses generative AI (gen AI) to cut through the complexity of application management.N/A
Pricing
DatadogIBM Concert
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
No answers on this topic
Offerings
Pricing Offerings
DatadogIBM Concert
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogIBM Concert
Best Alternatives
DatadogIBM Concert
Small Businesses
InfluxDB
InfluxDB
Score 8.8 out of 10

No answers on this topic

Medium-sized Companies
Sumo Logic
Sumo Logic
Score 8.8 out of 10
ScienceLogic SL1
ScienceLogic SL1
Score 8.8 out of 10
Enterprises
NetBrain Technologies
NetBrain Technologies
Score 9.2 out of 10
ScienceLogic SL1
ScienceLogic SL1
Score 8.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogIBM Concert
Likelihood to Recommend
9.4
(55 ratings)
-
(0 ratings)
Usability
9.2
(34 ratings)
-
(0 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
DatadogIBM Concert
Likelihood to Recommend
Datadog
Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
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IBM
The IBM Concert Fits well in below scenarios:1 - A Supply Chain Team Needs Real‑Time Scenario Modeling2 - When a large enterprise is stuck in spreadsheets, several files, inconsistent assumptions, and a month‑long forecasting cycle. The IBM Concert Automates data consolidation from ERP, CRM, and HR systems, and provides a single, governed model for all contributors. IBM Concert is less appropriate for Small Teams that Primarily Use Spreadsheets.
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Pros
Datadog
  • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
  • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
  • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
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IBM
  • The software helps us crack down on application issues sooner, before they can affect the customer's bookings.
  • The payments and customer data run is now much smoother thanks to this software.
  • Troubleshooting has become much simpler now and this saves us a lot of time.
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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
  • If you want to use it on a long term then it is going to be expensive.
  • The software was developed for large companies, so some advanced features were completely useless for our business.
  • Training this software took a lot of time, and the initial setup was time-consuming and resource-intensive.
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Likelihood to Renew
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
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IBM
So far we have been happy with the program and believe that it will grow with us as we continue to grow and thrive. This program has scalability for smaller to large companies allowing you to grow together. It is a learning curve but once learned it really is a time saving program.
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Usability
Datadog
There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
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IBM
I would say that any new users will require adequate time to get used to the application interface. Other than that, the overall look and feel looks great, like other applications.
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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
I have never had to contact IBM support
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Implementation Rating
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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IBM
No answers on this topic
Alternatives Considered
Datadog
Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


Key features:


Logs, metrics, and APM (Application Performance Monitoring)


Real-time alerting and dashboards


Supports Kubernetes, AWS, GCP, and other integrations


RUM (Real User Monitoring) and Synthetics





✅ Best for backend, server, and distributed systems monitoring.
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IBM
IBM Concert has been selected to complement another solution from the IBM catalogue, with which integration has been validated and which provides access via a single entry point; this solution is called IBM Instana.The aim was to enhance certificate and vulnerability management in order to secure applications across different environments
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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
  • Forecast cycles reduced from weeks to days
  • IBM Concert’s AI‑driven anomaly detection and scenario modeling help teams catch issues early.
  • Organizations respond faster to volatility, reducing risk exposure and capturing opportunities sooner.
Read full review
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.