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
Datadog
NETSCOUT 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
Datadog
NETSCOUT nGeniusONE
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
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 …
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 …
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 …
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 …
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
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.
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 …
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 …
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. …
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 …
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 …
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 …
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.
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.
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 …
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.
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.
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 …
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 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 …
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.
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 …
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 …
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 …
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 …
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.
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.
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.
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
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.
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.
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.
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.
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
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.