Datadog vs. NetApp Cloud Insights

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
NetApp Cloud Insights
Score 9.2 out of 10
N/A
NetApp Cloud Insights is an infrastructure monitoring tool that gives users visibility into their complete infrastructure. With Cloud Insights, users can monitor, troubleshoot and optimize all resources including public clouds and private data centers.N/A
Pricing
DatadogNetApp Cloud Insights
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
DatadogNetApp Cloud Insights
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalOptional
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
More Pricing Information
Community Pulse
DatadogNetApp Cloud Insights
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, …
NetApp Cloud Insights
Chose NetApp Cloud Insights
For a while, we were using Zabbix to monitor our Kubernetes applications and microservices on our infrastructure in more than one public cloud platform. Cloud Insights has much better visualized dashboards. In addition, despite such a large number of quality features, it's …
Chose NetApp Cloud Insights
Cloud Insights is a very compact service compared to others. This is very compatible with the service selection policy suitable for the purpose. So you really pay for the part of the product you need, which increases your financial efficiency and lowers start-up costs (time to …
Chose NetApp Cloud Insights
It provides single tool architecture, great dashboard, flexibility to check various resources are great both on prem & cloud.
Chose NetApp Cloud Insights
I assumed that this was a new product on the market and gave it a try since it had good customer feedback. So far it has done the job and provides some really good features.
Chose NetApp Cloud Insights
Easy to install data collectors; the main focus of the product is multi-vendor cloud technology systems. Easy-to-use dashboards with widely supported features, which can be easily used in a WYSIWYG-manner. The NetApp data collector uses Telegraf as a way to integrate data from …
Chose NetApp Cloud Insights
Cloud Insights allows us to create custom dashboards to monitor and trend any aspect of their infrastructure including CPU, memory, storage network utilization, IOPS, capacity utilization and more. Cloud Insights also provides visibility into the inter-connectivity of the …
Chose NetApp Cloud Insights
Azure Bot Service isn't as responsive as Cloud Insights. Neither tool will pinpoint the problem exactly for you. If one did, that would be the clear choice. Work is still necessary to actually solve the problem, and Cloud Insights is more responsive to give the team more time …
Best Alternatives
DatadogNetApp Cloud Insights
Small Businesses
Amazon CloudWatch
Amazon CloudWatch
Score 7.8 out of 10
Auvik
Auvik
Score 8.8 out of 10
Medium-sized Companies
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
Icinga
Icinga
Score 8.9 out of 10
Enterprises
ManageEngine Site24x7
ManageEngine Site24x7
Score 10.0 out of 10
LogicMonitor
LogicMonitor
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DatadogNetApp Cloud Insights
Likelihood to Recommend
8.9
(0 ratings)
8.2
(0 ratings)
Likelihood to Renew
1.0
(0 ratings)
-
(0 ratings)
Usability
8.7
(0 ratings)
8.2
(0 ratings)
Support Rating
5.0
(0 ratings)
8.4
(0 ratings)
Implementation Rating
1.0
(0 ratings)
-
(0 ratings)
User Testimonials
DatadogNetApp Cloud Insights
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
For example, we had an application slowdown. It looked like the slowdown was storage. However, it was a malformed SQL query that no one realized was pulling data from the storage location that also housed the application. Cloud Insights saved us hours of downtime and frustration. Cloud Insights pinpointed which system was hogging resources. What makes Cloud Insights special is the way it looks at the data collected from the data sources. The insights it provides into the flow of data; sheds new light on how things work in your environment.
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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
  • Cloud service is the best part
  • Alerts about any abnormal activity on the system before it's too late
  • Track usage across all applications, units, etc.
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
  • Need to add more cloud resources for optimization, as many are still not compatible
  • Data retention time is limited.
  • Premium subscription is costly.
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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I have been extremely happy with its usability. You can take thins as they are out of the box and it is useful. You can carry it as far as you want to go and every step you take improves your ROI.
Read full review
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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Before using Cloud Insights, we quickly resolved all the issues we had by talking with the support team. The support team is eager to assist and technically well equipped. They quickly understood what we needed and helped us during the setup and the first use period so that we could adapt easily.
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Implementation Rating
Documentation was difficult to work through, rollout was catastrophic (completely outage)
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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.
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Cloud Insights allows us to create custom dashboards to monitor and trend any aspect of their infrastructure including CPU, memory, storage network utilization, IOPS, capacity utilization and more. Cloud Insights also provides visibility into the inter-connectivity of the components in our infrastructure by providing topology views of any component.
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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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  • Highly positiveROI in terms of resource optimization and cost cutting on IT services.
  • Efficiently identify areas of wastes and make IT operations cost effective.
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.

NetApp Cloud Insights Screenshots

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