I rely on Datadog as our primary single pane of glass observability and platform management tool. I find the deep automated correlation between metrics, logs, and APM traces, along with its service mapping capabilities, to be the most valuable aspects. Review collected by and hosted on G2.com.

The main challenge I face with Datadog is cost management and governance at the enterprise scale. Review collected by and hosted on G2.com.

I value Datadog’s real-time tracing engine and its integrations. Review collected by and hosted on G2.com.

I find Datadog’s initial installation and configuration quite complex, particularly in a containerized Docker setup. Review collected by and hosted on G2.com.

It is a complete IT infrastructure solution that allows you to monitor infrastructure, applications, logs, traces, and security events all in one place. It supports all kinds of integration and if you face any issue, customer support is outstanding. Dashboards & Visualizations make it easy to diagnose the issue. Configuration and implementation are easy and support all kinds of OS, docker, K8s. Smart alerts with machine learning-based anomaly detection help catch issues before they escalate. Review collected by and hosted on G2.com.

While Datadog is powerful and feature-rich, it can take some time to fully learn and configure for new users. Review collected by and hosted on G2.com.

I value Datadog's deep visibility across heterogeneous multi-cloud environments. I appreciate the out-of-the-box AWS and GCP integrations, which let us pull high-resolution metrics from EC2, EKS, and GCP services with consistent, reliable tagging. Review collected by and hosted on G2.com.

I found the initial agent setup and configuration complex. Review collected by and hosted on G2.com.

I like the concept overall, the system that tracks every data point your applications provide and you can collect and analyse it in a single space.

It basically allows to find the root cause of issues much faster as you are able to correlate data from different sources (server load, logs, network performance etc.)

And because of all those data agregated in one place you can setup notifications based on multiple metrics together, not just one. Or even do something with webhook. Review collected by and hosted on G2.com.

I personally don't really enjoy Datadog's interface, it does look modern and UI elements are small, but I don't have any other complaints so far. Review collected by and hosted on G2.com.

The dashboards in Datadog are truly impressive. Drag and drop widgets, and graphs allow you to create a monitoring view within minutes, without any code. The AWS integration itself only took under 15 minutes and began immediately to pull in EC2, RDS, and Lambda metrics. Watchdog, an automatic feature of Datadog, identifies anomalies in your metrics and presents them without you needing to establish a manual threshold on all metrics. Review collected by and hosted on G2.com.

Datadog is costly, and the expenses may increase quicker than you anticipate. Pricing depends on the number of hosts and features turned on and these numbers can quickly increase with the size of your infrastructure. There are numerous functions available in the platform that new users are easily lost. Documentation is comprehensive, but decentralized, and locating the appropriate guide to your particular configuration (such as tracing a Node.js application on ECS with custom logs) takes an excessive amount of searching. Review collected by and hosted on G2.com.

I use Datadog as our primary central platform to consolidate heterogeneous data across our tech stack. I like monitoring networks and being able to ingest data from different sources and index it under a unified pattern schema. Review collected by and hosted on G2.com.

I dislike disabled features. Review collected by and hosted on G2.com.

I like how seamlessly Datadog consolidates global environments and regions while continuing to expand its built-in AI innovation. Review collected by and hosted on G2.com.

My biggest frustration with Datadog is how complex cost management can get in monitored environment access, because log ingestion and custom monitoring can drive up costs unexpectedly. Review collected by and hosted on G2.com.

I rely on Datadog as our primary centralized hub for monitoring the software development life cycle. I like its granular log filtering and flexible data visualization. Review collected by and hosted on G2.com.

I find Datadog’s user interface can feel messy and cluttered for novice users. Review collected by and hosted on G2.com.

I use Datadog as my primary observability platform for real-time visibility across our AWS systems. It helps me avoid switching between separate tools when investigating a backend slowdown. Review collected by and hosted on G2.com.

I find Datadog's pricing steep, and its documentation complex. Review collected by and hosted on G2.com.