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.
$1.27
per month (billed annually) per host
NETSCOUT nGeniusONE
Score 9.2 out of 10
N/A
NETSCOUT’s nGeniousONE is a platform designed to monitor enterprise-level networks. It includes standard monitoring capabilities, as well as advanced inspection and analytics features.N/A
Pricing
DatadogNETSCOUT nGeniusONE
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
DatadogNETSCOUT nGeniusONE
Free Trial
YesNo
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
DatadogNETSCOUT nGeniusONE
Considered Both Products
Datadog
Chose Datadog
Its the Enterprise level decision, definitely usability and features perspective Datadog is much more advanced.
Chose Datadog
Datadog is significantly more user-friendly than CloudWatch.In terms of capabilities, they're similar.
I would not call either of the best-in-class for any single feature, but Datadog feels more polished and ready to use overall.Multi-cloud monitoring is a clear differentiator …
Chose Datadog
Datadog dashboard is very intuitive and offer seamless integration into multi-cloud platform compared to its competitor.
Chose Datadog
I use Datadog because it concentrates all these features into a single tool, facilitating the learning curve that my platform and development engineering team needs in order to be able to set up the monitors/alerts/SLIs/SLOs as well as to diagnose a production issue. Its easier …
Chose Datadog
Datadog seems to be the most feature-rich of all the alternatives we've considered, however due to problems outlined earlier, some of the others have benefits. OpenTel can give us a way to make our platforms compatible with a variety of vendors, and can be done without …
Chose Datadog
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered …
Chose Datadog
Kibana
Datadog
… because within our usecase we have all the events in kibana but sampled traces in Datadog … but if we had all the traces it would have been much more useful
Chose Datadog
I think Datadog and sentry serve different needs. I like sentry to keep track of errors on our systems. And then I'll jump into Datadog to investigate those issues.
Chose Datadog
We have utilized a SIEM in the past, but it was a very manual process to set it up. Content packs make it very easy to set up and get alerting instantly. Datadog takes out a lot of headaches for our security team, since they no longer have to create custom alerts for every …
Chose Datadog
First think first - it's easy to use, and very easy to implement in any infrastructure. It provides a custom dashboard and monitors. I’ve used or evaluated Grafana, Prometheus, Amazon CloudWatch, and Dynatrace, and each tool has strong capabilities. Prometheus + Grafana provide …
Chose Datadog
Wavefront seems to be better at observability and allows more custom query language.
Chose Datadog
All other tools dont have all the features which Datadog provides.
Easy to use from UI where other may have complicated UI or no UI at all to create monitors. Consider like AWS grafana, we have limitation to create monitors from UI. There is no recurring downtime for monitors. …
Chose Datadog
UI of the Datadog is easy to understand and integration steps are easy to understand. It also provides the troubleshooting steps which are easy to understand. Supports multi cloud integrations which is very important for all the customers to know about the cloud service's …
Chose Datadog
we primarily use Kubernetes, and Prometheus is great for collecting time series metrics, especially in Kubernetes. and Grafana is used for dashboards. As these are open source, we host them and manage them internally. We choose Datadog because of its logs, traces, and …
Chose Datadog
I selected Datadog because of its features and the wide range of integration support. As I already told it supports more that 600+ integrations which helps and organization to keep everything in a single place and also its AI feature which is reducing the time for root cause …
Chose Datadog
1. Grafana is good, but a lot of integration is required for it to work. .that not the case of Datadog
2. Faster to set up Datadog instead of Grafana
3. Alerting in Datadog feels much easier thanin Grafana.
Chose Datadog
Datadog is best for cloud-native and fast-setup. It is more mature for infrastructure and real-time observability. The UI is more user-friendly and provides wide coverage of app insights.
Chose Datadog
I have tried and used a number of other tools similar to Datadog such as New Relic, Splunk, Prometheus, AWS cloudwatch and Dynatrace. New Relic and Splunk provide excellent monitoring and analytics, but Datadog’s consolidated dashboards and ease of setup combined with a wealth …
Chose 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.
Chose Datadog
ease of use and implementation, other than new relic (which I think is terrible in every possible way), the other two support opentelemetry better, have more manageable costs and comparable basic services, but they do not have the breadt of services dd does.
Chose Datadog
We moved to Datadog from Microsoft's Application Insights. Application Insights did a fine job in allowing us to view our application data, but it lacked the holistic view of all our infrastructure and other platforms that could not use Application Insights. Being able to …
Chose Datadog
In terms of usability, I’ve found Datadog significantly more approachable and powerful compared to Elasticsearch, especially for day-to-day operational monitoring. Datadog offers a much more cohesive, user-friendly interface out of the box, with built-in support for metrics, …
NETSCOUT nGeniusONE
Chose NETSCOUT nGeniusONE
NETSCOUT nGeniusONE is the best solution which we have encountered so far. The best part about this is that it can be integrated with various third party tool for more visibility and behavior analysis. The dashboard is loaded with a lot of useful features which gives the …
Chose NETSCOUT nGeniusONE
They are different as one is more used for network config management and SNMP polling. Netscout is more of a packet level, metadata, baselining troubleshooting tool. Both I’d recommend but for different purposes.
Chose NETSCOUT nGeniusONE
SolarWinds provides better modularity, improving your ROI by paying only for what you need as opposed to paying for the entire suite whether you need it or not. It also seems to be much more intuitive. However, I'm not sure that it provides packet capturing functionality for …
Chose NETSCOUT nGeniusONE
In some of the aspects, Extrahop is a little similar to Netscout however Extrahop is a real-time performance monitoring tool doesn't provide the functionality to look back to the history data by providing the storage for network capturing data (pcap). Maybe it's just that the …
Chose NETSCOUT nGeniusONE
Wireshark has been around for years and has been used primarily for packet analyzing. NetScout does this and goes above and beyond with the graphics interface analyzes and customer filtering for packet analyzes. You can go straight to the packet analyze within NetScout but you …
Chose NETSCOUT nGeniusONE
Majority of vendors on the market at the time only handle a piece of network instrumentation. Netscout covered all the bases which meet our company's requirements for "One throat to choke" rule. For the market we are in its nice to have a local team that can be onsite the …
Features
DatadogNETSCOUT nGeniusONE
Network Performance Monitoring
Comparison of Network Performance Monitoring features of Product A and Product B
Datadog
-
Ratings
NETSCOUT nGeniusONE
8.7
Ratings
9% above category average
Automated network device discovery00 Ratings10.00 Ratings
Network monitoring00 Ratings10.00 Ratings
Baseline threshold calculation00 Ratings8.00 Ratings
Alerts00 Ratings8.00 Ratings
Network capacity planning00 Ratings7.00 Ratings
Packet capture analysis00 Ratings10.00 Ratings
Network mapping00 Ratings9.00 Ratings
Customizable reports00 Ratings8.00 Ratings
Wireless infrastructure monitoring00 Ratings9.00 Ratings
Hardware health monitoring00 Ratings8.00 Ratings
Best Alternatives
DatadogNETSCOUT nGeniusONE
Small Businesses
Amazon CloudWatch
Amazon CloudWatch
Score 7.8 out of 10
NinjaOne
NinjaOne
Score 9.0 out of 10
Medium-sized Companies
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
SolarWinds NetFlow Traffic Analyzer (NTA)
SolarWinds NetFlow Traffic Analyzer (NTA)
Score 9.2 out of 10
Enterprises
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
SolarWinds NetFlow Traffic Analyzer (NTA)
SolarWinds NetFlow Traffic Analyzer (NTA)
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogNETSCOUT nGeniusONE
Likelihood to Recommend
8.9
(0 ratings)
10.0
(0 ratings)
Likelihood to Renew
1.0
(0 ratings)
-
(0 ratings)
Usability
8.7
(0 ratings)
6.5
(0 ratings)
Support Rating
5.0
(0 ratings)
7.5
(0 ratings)
Implementation Rating
1.0
(0 ratings)
-
(0 ratings)
User Testimonials
DatadogNETSCOUT nGeniusONE
Likelihood to Recommend
Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.
Read full review
It’s best for troubleshooting issues that require a packet level analysis. By having source/destination you can have a view into how the packets are traversing the network. If alerts/baselines are set up it can help identify something out of the norm. Very useful for VoIP applications as well. Would not recommend for small scale environments.
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Pros
  • 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.
Read full review
  • The graphical interface has to be the key benefit of NetScout. I am more of a packet analyzer but the interface gives the upper levels easier view into the network.
  • The breakdown of sites is useful.
  • The ability of the break the traffic down and go into the packet analyzer straight from the graphical interface. Saves a lot of time writing filters with just simple clicks.
Read full review
Cons
  • 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
Read full review
  • Better access to resources
  • Pricing in this niche market is very high, hard for the little guy to take advantage of these solutions
Read full review
Likelihood to Renew
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
No answers on this topic
Usability
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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It provides a lot of useful information, but it's not always easy/intuitive to find it. It really needs to get a fully functional API integrated to support automation and integration with other monitoring and analytics tools to enable faster decision making. On the other hand, it gathers a lot of useful information from complex networks that are useful for capacity management and faster incident isolation and resolution.
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Support Rating
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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We have a dedicated OSE who has been very helpful. Besides that, we have little experience beyond this specific model
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Implementation Rating
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
No answers on this topic
Alternatives Considered
Datadog is a more complex but complete solution than any of the other Log Aggregation, monitoring, or general observabilty tools that we have trialed. I found it easier to setup following useful and up-to-date documentation provided directly by Datadog instead of scattered around many blogs or articles. I would love to have my own Grafana + Prometheus expert to setup all the peices we need but you're paying for expertise there instead of an experience with Datadog.
Read full review
NETSCOUT nGeniusONE is the best solution which we have encountered so far. The best part about this is that it can be integrated with various third party tool for more visibility and behavior analysis. The dashboard is loaded with a lot of useful features which gives the complete trend analysis of connectivity loss and network flaps and helps to identify the critical sites which is not present in other technology solution. This is an incredible network performance monitoring tool
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Return on Investment
  • 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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  • NetScout nGeniusONE helps to reduce the time and effort (people to involve) to react on network outages, speed up the investigation progress, and much more quickly to identify the root cause.
  • Proactive helps the operation team to identify the underline problems and help the business to take actions before the issue starts to impact the customer's business. Help to reduce the incidents and outages.
  • Help the operation teams to better understand the performance and health of the network from a higher level and end to end perspective, improve the efficiency of work.
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.