Datadog vs. IBM SevOne

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.8 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 SevOne
Score 8.2 out of 10
N/A
IBM SevOne’s app-centric, hybrid network observability empowers NetOps teams with ML-driven insights, enabling proactive issue prevention and resolution. With a single source of truth for network performance, it delivers visibility to optimize operations and support agility in complex, multi-cloud environments.N/A
Pricing
DatadogIBM SevOne
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 SevOne
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).IBM® SevOne® uses Managed Device (MD) and Managed Client Device (MCD) as pricing metrics. These can be mapped to managed devices for physical, virtualized and containerized functions in the managed environment.
More Pricing Information
Community Pulse
DatadogIBM SevOne
Considered Both Products
Datadog

No answer on this topic

IBM SevOne
Chose IBM SevOne
May lack some of the advanced analytics, big-data scale, depth of historical performance, or baseline anomaly detection that SevOne provides. UI / advanced features are less polished. Datadog is strong in cloud-native, full-stack observability; good dashboards; good …
Chose IBM SevOne
IBM SevOne was selected instead of Datadog because it is perfect for large insurance networks and also connects trouble-free between the on-premise and cloud environments. Its alerts are in real-time, it offers comprehensive dashboards and it allows to gain a better grip on the …
Features
DatadogIBM SevOne
Network Performance Monitoring
Comparison of Network Performance Monitoring features of Product A and Product B
Datadog
-
Ratings
IBM SevOne
7.5
13 Ratings
6% below category average
Automated network device discovery00 Ratings7.913 Ratings
Network monitoring00 Ratings7.113 Ratings
Baseline threshold calculation00 Ratings7.413 Ratings
Alerts00 Ratings6.912 Ratings
Network capacity planning00 Ratings7.613 Ratings
Packet capture analysis00 Ratings7.57 Ratings
Network mapping00 Ratings7.413 Ratings
Customizable reports00 Ratings7.713 Ratings
Wireless infrastructure monitoring00 Ratings7.311 Ratings
Hardware health monitoring00 Ratings8.28 Ratings
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DatadogIBM SevOne
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Score 9.1 out of 10
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Sumo Logic
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Score 9.3 out of 10
SolarWinds NetFlow Traffic Analyzer (NTA)
SolarWinds NetFlow Traffic Analyzer (NTA)
Score 9.3 out of 10
Enterprises
NetBrain Technologies
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Score 9.2 out of 10
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User Ratings
DatadogIBM SevOne
Likelihood to Recommend
9.4
(55 ratings)
7.7
(13 ratings)
Usability
9.2
(34 ratings)
-
(0 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
DatadogIBM SevOne
Likelihood to Recommend
Datadog
Datadog can be pricey for larger scale businesses, so it really depends on your use case. For us, we have a small single deployment application and a small developer team, so our costs are mostly reasonable. There are more features than we can explore which can be somewhat overwhelming. It is mostly easy and intuitive to use but for larger scale you may consider rolling your own solutions.
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IBM
The software is handy and really helps us track all the issues that may occur in our network, allowing us to rectify them before any significant problems with our server can arise. It also enhances the overall performance of all our servers and networks, but, as I mentioned earlier, it will take considerable time for a beginner to become familiar with every feature of the software.
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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
  • To see trends in network usage, identify upgrade switches, increase bandwidth and cabling
  • Provide dashboards to operations, logistics for both warehouse and production managers
  • Can integrate into incident systems to auto create tickets when issues happen
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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
  • Documentation for the embedded help pages in NMS and more. In my opinion, these do not provide anything of any depth or maybe anything helpful at all. If anything it just seems to be a guide of what actually exists on the page. It is nicely searchable documentation though.
  • It is very surprising and disappointing for us to learn that it isn't until the latest version of IBM SevOne that bulk editing was introduced. I think this is such a basic and foundational feature that should have been a part of the original rollout. My team is still trying to configure the REST API.
  • It was disappointing for the webinar to start with a speaker who had a thick accent and simply read from slides. To me, it felt hopeless until the second speaker, who was engaging and easy to understand. It's as if this fact wasn't considered. I'm sure the first speaker lost a lot of viewers who didn't stick around to discover the 2nd speaker.
  • I asked three different questions during the webinar and none were answered.
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Usability
Datadog
There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
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IBM
No answers on this topic
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
No answers on this topic
Alternatives Considered
Datadog
It's a one-stop solution for all our needs whereas in other open-source tools, we have an operational overhead to keep and manage the uptime of these tools as well and also manage their versioning, upgrade, and patching cycle. Also if there are any bugs then we have to raise an open source issue and many problems as we have to keep 2 to 3 people aligned to manage the stack.
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IBM
IBM SevOne was selected instead of Datadog because it is perfect for large insurance networks and also connects trouble-free between the on-premise and cloud environments. Its alerts are in real-time, it offers comprehensive dashboards and it allows to gain a better grip on the network issues, thus helping to keep the downtime small and the operations well managed thanks to the good communication.
Read full review
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
  • The software has minimal downtime, which helps us connect with our customers quickly and resolve their issues.
  • Automated networks reports that it gives saves a lot of time and resources.
  • Setting up and completing the configuration will take more than three months, which is a significant expense at the outset.
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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 SevOne Screenshots

Screenshot of hybrid cloud network monitoring. This view helps achieve application-centric observability in hybrid cloud environments for maintaining optimal performance across infrastructure.Screenshot of MSP network monitoring. This provides comprehensive network monitoring and observability that empower MSPs to support enterprise clients on their hybrid multicloud journeys.Screenshot of SD-WAN monitoring. This helps mitigate the transitional risk of moving from traditional WANs to fast and dynamic SD-WAN links.Screenshot of SDN monitoring. This helps maximize the performance and value of Cisco ACI infrastructure with built-in support for monitoring Cisco ACI-based software-defined networks (SDNs).Screenshot of Enterprise wifi monitoring. This creates visibility across wifi infrastructures to assure consistent high-quality services with modern wifi monitoring and management capabilities.Screenshot of a view of the default machine learning analytics and visualizations that aid in troubleshooting, anomaly detection, and forecasting. This allows for proactive identification and troubleshooting of issues before they impact end-users.