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
NETSCOUT Arbor DDoS Protection
Score8 out of 10
N/A
NETSCOUT Arbor DDoS Protection security software offers protection across multiple layers of the OSI model. It provides security measures for Layer 2 (Data Link layer) through Layer 7 (Application layer), ensuring complete protection for network infrastructure.
N/A
Pricing
Datadog
NETSCOUT Arbor DDoS Protection
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 Arbor DDoS Protection
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 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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Arbor has the propensity to deal with even the larger firms. I have been using it for a year span and I don’t have any such complaint which is affecting us in a bad way. I can recommend this to all the companies who want to have a good network behavior analysis and to monitor the problems if there is any chance of it to occur and which has the potential to affect the whole working environment of the company.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Arbor's layer 7 countermeasures are very good out of the box, but it is very easy to reconfigure values and see the impact in real-time.
Peakflow SP provides fairly detailed traffic analysis and breakdown for top-N data such as top talkers, top ASNs, top ports and so on. They offer "SP Insight" as a product to build in more powerful reporting on the already-collected metrics with an interface very similar to Kibana or one of its many forks. We are not licensed for that so I can't speak to its capabilities.
Arbor allows for a good amount of automation. Fast flood detection ensures that if pre-determined thresholds are quickly exceeded, preconfigured mitigations can be started or in the event of an extremely large volumetric attack you can trigger an Arbor Cloud (sold separately) mitigation or a remotely-triggered blackhole announcement to drop traffic to the attacked destination IP address(es) upstream.
ATAC (Arbor support) is very helpful. The level of support our organization maintains covers ATAC performing all update functions to all Arbor appliances - SP and TMS.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Arbor is a highly expensive company. this was the major reason behind not going for the Arbor sightline in the first place. Although its features are good but the cost is unjustifiable.
The implementation and the understanding of this tool are full of complexity and perplexity.
I am looking forward to having a new update on it. They used to update their versions quite frequently but it's been a long time they haven’t updated or maybe it is not in their priority lists right now.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We evaluated Corero and a number of external scrubbing services. In the POC, we found Corero's mitigation capabilities to extremely limited beyond blocking common traffic types at preconfigured rates. It's not impossible to configure custom mitigation methods and countermeasures, but it requires a deep understanding of BPF and bytecode, where Arbor is checkboxes, radio buttons, and dialog buttons that all sit next to a graph showing traffic dropped and permitted by the current settings. I'm not going to enumerate each of the cloud services evaluated because the decision came down to the same reasoning. The amount of traffic we receive is enough that it would be prohibitively expensive for our use case.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
