Datadog reviews

It's got everything that's needed for infrastructure and application monitoring and alerting. It also fits extremely well into our Infrastructure-as-Code paradigm where everything we set up is kept in a git repository as a Terraform project. DataDog is what we recommend and implement for our clients, and provides more useful features than Sensu.

Metrics and monitors don't render correctly on mobile phones. It's totally unusable in portrait mode, and barely usable in landscape mode.

It's pretty easy to get a lot out of Datadog right out of the box -- the AWS and other integrations are amazing and easy to use.

It's REALLY expensive.It's not so easy to really really tweak the dashboarding and alerts to do more advanced mathematics or analysis.

Datadog is a SaaS monitoring solution, that could be used to monitor different aspects of you IT infrastructure. You can find pre-configured solutions in API marketplace, which probably cover all your needs after some fine tuning, otherwise you can build your own solution. Good and responsing customer support. Stable agents

Very poor set of solutions for Microsoft Azure monitoring
Very hard for new users, documentation is not very straightforward, so you`ll need to spend a lit of time communicationg with support

Being able to funnel AWS CloudWatch logs into Datadog made speed of deployment of Datadog incredibly fast - days instead of weeks.The log searching and faceting are extremely powerful. It's responsive, everything loads fast, and I can find single log lines in seconds.

Being able to create facets on historical data would be great.When digging into log lines, being able to navigate back to previous lines that we read through would be great too. Sometimes we're clicking around so fast that a log line is long gone. I end up copying the URL and pasting it into a doc so I can refer back to it.

Diligence, details and deep of monitoring all detail.

capturing every single details, validity of details and more importantly capability to monitor everything!!!

I like Datadog APM which help our developer to troubleshoot various deep level issues.

probably the integration with log management with DD trace with APM, as we have some difficulties link the log injested with trace ID etc but some of logs are not linked with APM. I hope there's a better compatibilities with custom PHP application with APM & Log management

We now have billions of logs hitting Data Dog every month. It's a great tool for monitoring and debugging what is going on in the platform. We have alserts setup based on the logging so we are instantly notified of any issues.

Some of the JSON parsing on nested logs come out a little wonky. We overcame this by adding specific logs from our applications that we can search on.

I liked the fact that DataDog provides an easy-to-use platform for visualizing, monitoring, and alerting on all my infrastructure metrics. It's very comprehensive and the integrated dashboards allow me to quickly identify any issues. It's also great that it can integrate with other technologies, allowing me to have a complete view of my system.

I didn't like the complexity of setting up custom dashboards and metrics. It was difficult to find the right combination of settings and tools to get the desired result.

I liked the fact that Datadog is extremely user-friendly, making it easy to set up and use. It also provides a great variety of features and integrations that offer real-time monitoring, alerts and analytics. The detailed metrics and reporting make it easy to identify and track performance issues, and the visualizations provide a great way to quickly understand performance trends.

My least favorite thing about Datadog is the high cost associated with the service.

Datadog is a user-friendly tool with strong visualization capabilities that allows for real-time monitoring of application and infrastructure performance. Its intuitive dashboard and efficient alert system make it an ideal tool for quickly addressing any issues that may arise

The downside of using this tool is the limited data granularity and customization options in the dashboard. There are very few possibilities to personalize the dashboard and the data displayed, which can make it challenging to gain the desired insights.

I truly enjoy the integrations that datadog provides. It allows us to view more metrics that are more of a deep dive into specific applications. These metrics help us understand what is widely monitored in the industry that we did not think about monitoring ourself.
Another key item is that datadog comes out of the box systematic checks that we normally had to add in manually for a newly onboarded host.

The item I dislike least is that when you decommission a host the application requires up to 24 hours for that host to officially disappear from the list rather than being removed immediately.

Datadog provides real-time insights into the performance of applications, servers, and services. It helps you quickly identify and troubleshoot issues before they become critical.Datadog is easy to set up and use. It requires minimal configuration and supports various cloud services and integrations, It provides a comprehensive monitoring system for both on-premises and cloud-based applications.

Limited Customization Options: While Datadog provides a lot of pre-built dashboards and visualizations, it does not support extensive customizations.Datadog is a high-end monitoring platform, and its pricing reflects that. It can be expensive for small businesses, especially those who don’t have a large budget for monitoring software.

Datadog is great for bootstrapping and it can get you quite far! Monitoring and alerting tooling is awesome, integrate well with the new products

Datadog is one of the few solutions I’m the market that provides all stack (logs, security, apm, infra …) and they know it. It is not cheap, when compared individually but looking at the big scope the integration is what we are paying for.

Can monitor ANYTHING. Centralized place for log analysis, security monitoring, end user monitoring, custom business metrics. Report and alert.

Some items visible in the UI are not capable of being monitored. Unable to get APM for PHP working under litespeed.Improvements in alerting would be nice, better escalation, SMS integration, etc.

Datadog provides a way of having a lot of information about your systems, clusters and infrastructure in only one site, being able to analyze valuable data for your company. It is possible to create alarms and notifications when overpassing some threshold or value, for example, when a service is down in your systems of when the CPU gets a high percentage of usage.

It integrates pretty well with tons of services and systems, such as Amazon Web Services, Apache, Nginx, several databases, and a long etcetera. Also, it is possible to send notifications to apps like Slack or Hipchat.

Datadog is not very easy to use at the beginning and it needs a little bit of investigation but it is worth to learn it.

Dashboards. Custom metrics. Ruby integration. Notebooks. Monitors & alerts.

It takes time to understand each part and understand how to use it. It's a complex thing and if you're not familiar with monitoring systems it could be difficult to figure it out how you can find what you need.

Correlation between APM, Infra, Log, Network and everything can make it possible to view in multiple dimensions. Also, RUM feature is so strong to cover the end-to-end observability in realtime.

One of the most expensive tool. And it could be challenged by the management.

We do like easy management and analysis of logs, tracing .

Helm charts is bit hard to understand. Configuration might be hard for non experienced person

Ease of use and flexibility. Beginning teams can leverage out of the box but you can grow into this product as it is quite feature rich. The product just works.

It is so expensive that we consistently have to trim usage when not needed. Also due to this we have to justify the product constantly

I love the ease of use, the up-to-date documentation, and the product capabilities.

Support is slow and lacking, costs can get out of control fast and are not straightforward.

Datadog provides a great, easy-to-use and extensible interface for displaying data out of your own systems, providing you the insight to sniff out issues as they arise.

No matter how many integrations Datadog builds in, there will always be gaps, and some of those gaps hit our needs. As such, we need to use several monitoring solutions to cover our whole platform.

We discover Datadog as a better alternative to NewRelic which was extremely expensive.We found that Datadog is a very powerful tool with tons of features and services. It provides very detailed performance insights such as speed, latency, uptime, potential threats, etc. We use it mainly for Application monitoring and Real User Monitoring, and we found out that it correlates events between different services which makes it very easy to pinpoint issues with our apps.

It was a little hard to installed all the integrations.And because of a lack of communication with our account managers we ended up paying much more than we thought when deciding to switch to Datadog.The integration with AWS resulted in all host from all environments to appear in Datadog, many of which we didn't need to, and that resulted in a very expensive bill for that specific month.

Datadog's Windows support is great, the Windows agent supports detailed IIS and MSSQL statistics. Their RabbitMQ support is good as well - providing good insight into queues. Customizable dashboards are very handy as well.

The User interface generally is good but in some instances can be a bit too technical to use.

I noticed that this monitoring system is very flexible, you can track pretty much any metric, which is great.

Great integration with many services like AWS, Chef, Couchbase, JVM, HAProxy, MySQL etc.

Dashboard functionality is easy. Comes with UI, UI is simply designed but supports all the key functionalities that you would expect from a counter services, and to be able to create dashboard based on counters.

Noticed that the more data you have, the slower response Datadog service will become, when you query the service.

Query a specific counter, as well as when the counter contains high dimensional data, which is normal, we haven't yet tested what is the upper limit for how much data it can decently handle.

But we have been very satisfied using Datadog, and we feel that it should be enough for small to mid size company.

Compared to our previous observability tool it was incredibly easy connecting Datadog to all of our data sources. All the connectors we needed were already created so my team didn't have to spend time writing code to collect and send telemetry.

Some features can be a bit expensive such as synthetic tests and while there are tools to help track spend, there could be a bit more granularity in the RBAC on who can turn on features that have additional.