Datadog Reviews

An organization that has multiple types of NoSQL databases and different applications can definitely use Datadog to have as a one-stop solution to monitor resources as well as metrics.

Datadog serves as an excellent tool for applications that deserve significant monitoring, mainly if they are distributed applications. It can help with tracing requests through multiple applications, and it's log management tools can make integrating logs for dynamically scaling services simpler and easier to follow. It is overkill for simple applications or applications that are unlikely to expand beyond a single or a small number of machines.

Datadog is well suited to monitoring applications in the cloud.

If you're a cloud-based software company, you should use Datadog, period. They're a strong leader in the space for a reason. Datadog will scale with your company's data needs, and if there's something it can't do today, it probably will in the next few months or a year. It might be an overkill if your product/business is very small.

Datadog is a no-brainer for any environment that relies on multiple servers. Even for one server, it's so much better to use for monitoring and alert capability than anything else I remember looking at before we started using Datadog. Teams can even use it to track their progress of investigating an alert so multiple people aren't unknowingly looking into the same exact issue unnecessarily.

Data Dog is great product for modern tech stacks on cloud technology. Might not be as good of a fit for non tech companies or older tech stacks. This being said we use it to monitor some old windows servers and some old sql server instances. We also appreciate the custom API and use it for some of our apps to write alerts of issues to.

Cloud, API and end-user monitoring. Complex monitoring situations where multiple platforms are involved. Love also the integration with other solutions like Slack. I cannot see any specific situation where it doesn't fit—for those particular platforms mentioned before. I do not consider the price to be expensive, but that's my opinion.

Datadog is great when you have a complex software system, with multiple applications and micro-services. If you have the resources to do the upfront work of integrating with your platform(s), it will be a great tool to handle monitoring/alerts. It also has nice features for log aggregation. The graphs and dashboards also make Datadog a useful tool to others, such as Managers and non-Engineers, not only for Dev-Ops and Engineers directly using it. If you want something to use quicker out-of-the-box or don't want to spend any money there are quicker/cheaper options.

For organizations that understand and require the value-add of Datadog, it's a great choice for log management, APM, and system visibility. Because of its costs, it's not well suited to smaller organizations, or organizations running lots of small workloads on inexpensive VMs, where you are stuck paying the same price that an organization would pay for a server 100x the size.

DataDog is well suited for an environment that requires low-level investment on supporting infrastructure, a cloud-based approach or something that is priced at a fair enough level where you can grow the business with your footprint without sacrificing on features.

Datadog is very well suited for cloud-centric customers that are looking for an agent-based performance monitoring solution. While a lot of configuration and work must be done to turn Datadog into a true application monitoring and performance solution, the flexibility that the tool offers is great for organizations with creative engineers. The price and configuration can be very "right" for this solution.

We are using Datadog to send Hystrix metrics of various service there and had setup various monitors and alerts which alerts on any underlying issue ahead of time before a major failure. Also created a dashboard quite similar to Hystrix Dashboard with ability to look back in time. It has worked well for us.

Datadog is best for evaluating performance of applications and identifying bottlenecks. It has support for custom metrics. It has a good UI and constant enrichment of feature set which helps admins and users solve infrastructure issues quickly. Compared to 2-3 years before Datadog now has significant change and is well suited to the cloud environment. Improving very fast. Good job!

Sometime the agent has issues and causes CPU spikes but was fixable.

It succeeded in complex architecture and infrastructure

Datadog is the best application we have come across for displaying website and server metrics as well as alerts. Datadog can consume events from a whole host of systems and configure alerts when issues appear. Datadog has both Windows and Linux support, so it can handle posting metrics from pretty much any server.

Datadog fits your use case perfectly if you're writing, testing and running applications generating huge amounts of data and want a way to view this information graphically. Datadog has valuable features like sharable dashboards, Slack integration, CloudWatch integration and alerting.
It might be less appropriate for monitoring system and process level metrics. It can certainly do those but there are other tools out there like Zabbix, Nagios and Icinga.

It's well suited for any scaled application. During peak time, we can scale up our application, and start watching it via DataDog. Doing so, DataDog provides us a hand dashboard to watch (un)healthy box instances. Last time, it pointed some instances that had a severity memory leak. By identifying those instances, it makes easier to replace that unhealthy instance quickly.

It's well suited for monitoring instances in the cloud. Good pricing. But I feel that the performance monitoring and instrumentation is still better in New Relic.

Datadog can be used by any company that wants to get a deeper understanding of their systems and services. It's great for each project to determine what quantifiable data would lead to success. It would be less appropriate to use it for financial information as there are lots of better tools for that.