Cisco ThousandEyes vs. Datadog

Unified communications real-time analysis is one of the biggest points of the solution. You can see your traffic path and find issues before, during and after the calls. This is very useful for analyzing VoIP and video conferencing problems like in WebEx, Microsoft Teams and Zoom. It helps to see network issues like packet loss, jitter, or latency that can make call quality bad. Another good use case is checking cloud apps and SaaS services. Many companies use external platforms like Microsoft Azure, 365, Salesforce, or AWS. It lets Networking teams see the network path from users to these services so they can find if problems come from the company network, the internet provider, or the cloud service. Also, it is good for companies using mix of on-prem and cloud. It shows how traffic moves between different parts of the network, so IT teams can see where a problem happens and fix it faster. There are different types of agents that we can use in Cisco ThousandEyes. Enterprise agents can be use for a relative big amount of synthetic test. Endpoint agents are install in user PC or MAC laptops to check network quality from the client side. WebEx devices also have built-in agents that help to see performance problems in meetings, making it easy to find what is causing a bad call. Maybe it's not the best solution if what you want to measure is not HTTPs based or hasn't an API. Also if your scenario is Zoom Rooms, you won't have the same level of integration that it has for WebEx and Microsoft solutions.

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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.

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• Cisco ThousandEyes does the holistic discovery of the end components, the network components, and it's really fast at identifying where the issue is, which is not normally identified by the classic monitoring tools. So it's quite a fast identifying the issue of the networks and Cisco ThousandEyes also provides a very good real user end user monitoring experience for the end customers. So those are the two real life and also very good examples for Cisco ThousandEyes.

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• 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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• The elephant in the room is going to be cost. ThousandEyes is a great tool, but you will pay for it. There are other services that do a good job at providing a smaller subset of features compared to ThousandEyes. If all you need is that particular subset of features, ThousandEyes may not make fiscal sense for your organization.
• As a subset of the cost issue, within the last 18 months or so the pricing on enterprise (local) agents has been modified in a way that seems not to benefit the customer. Previously enterprise agents had a flat monthly cost associated with them with unlimited test usage (the only limit on test usage was based on concurrent tests running at any given point in time). This meant that instead of using a cloud agent and paying per-test, you had the option of spinning up an cheap Digital Ocean droplet and creating your own cloud agent for external testing without using Cloud Agents. When the change was made they eliminated the flat per-agent cost and instead treated the pricing the same as that of the cloud agents but cutting the number of "cloud units" per test in half for tests run from enterprise agents. For organizations with under-utilized enterprise agents, this may be helpful financially, but for organizations that push their local agents to the limit, the cost skyrocketed.
• BGP monitor peering sessions have been less than reliable. The data doesn't seem to be an issue, but the sessions seem to bounce or fail altogether on a fairly consistent basis. The routers or servers with which your routers peer sit behind some firewalls that have caused issues in the past.

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• 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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The software does it's job extremely well and the system makes it very user friendly to get into. When looking for software I prefer to not need a PHD to operate it. Having a great UI and simple setup makes it easy to include more members of our team to get more value out of the platform.

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Definitely will not revisit after our issues and, in my opinion, poor support.

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There is definitely a learning curve to ThousandEyes, but once you understand how the client deployment works and how to set up monitoring, things go pretty smoothly. I think the initial setting up of clients on endpoints can be a little tricky though.

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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.

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Being cloud hosted means that you are at the mercy of Cisco web services, but we've had absolutely no issues with its availability.

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The client is very lightweight on endpoints and the user interface is very fast and fluid.

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You have online support from the tool itself 24/7 and they are very responsive. We also have a specific account manager and specific engineer assigned to help us with very specific questions for our environment. The level of response to our requirements is always super high. We have requested specific features to be added and these have been developed and introduced very quick tot he product (within weeks). Their DevOps and agile approach seems to pay off.

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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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Our Cisco reps actually had someone teach us a few things about the functionality of ThousandEyes, and it helped a lot. The training was good and we had follow-up assistance as well when we had questions about the monitoring and reporting functions. Overall, we were satisfied with the training and support.

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Our implementation was pretty straightforward, with some issues loading clients on endpoints. We didn't have any notable issues, and I don't really have any additional insights.

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Documentation was difficult to work through, rollout was catastrophic (completely outage)

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No one is better than the other. I can get different data and sometimes similar data, it's important to compare values and verify the data between the tools. Additionally, there are other functionalities that ThousandEyes has that the others don't, but it is also the other way around. I will always recommend to have available not 1 or 2, all possible available for your job.

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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.

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The contract was fair and rolled up into some of our other contracts, so it was no big deal getting it up and running.

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I think this product would be infinitely scalable since it's all cloud hosted and can support thousands of endpoints if needed. We are only using it for a limited number of endpoints, so we never really considered scalability.

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• Building the trust from our Merchants is core when you come to renewal time. Trust builds partnerships, builds stickiness and allows for easier upsells or contract renewals.
• Having a champion in IT that touts your service is important to the business, it removes a large portion of friction in the business to get services implemented and working to its peak.
• Flexibility in pricing can be better. How they measure the number of agents being used can get thorny. When you build and tear down virtual servers a lot it can appear there are more agents running than there are. Once we understood how they measure we were able to better utilize the product efficiently.

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• 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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