Name: Datadog
Rating: 4.5 (1364 reviews)

Overview

Product Information on Datadog

Updated 13th October 2025

What is Datadog?

Datadog is a software that offers monitoring and analytics capabilities for cloud-scale applications. The software collects metrics, traces, logs, and events from various sources and provides dashboards, alerts, and visualization tools to help users track the performance and health of systems and services. Datadog integrates with cloud infrastructure, containers, databases, and applications, enabling users to correlate data across their technology stack. The software addresses challenges related to dynamic, distributed environments by providing observability and insights that support incident detection, troubleshooting, and optimization of resources and applications. It is designed to facilitate collaboration between development, operations, and security teams in managing application reliability and system performance.

Overall experience with Datadog

Engineer

Gov't/PS/ED <5,000 Employees, Education

FAVORABLE

“Linking Synthetic API Failures To Backend Traces Speeds Up Debugging Process”

5.0

Feb 3, 2026

It is the source of truth for our performance engineering. I often use the application performance monitoring and synthetic tab. The ability to link a failed synthetic API test directly to a backend trace ID has saved us countless hours of debugging intermittent issues. However, the billing model is complex, and you have to be extremely careful with custom metrics and log indexing, or the cost will explode.

ENGINEERING MANAGER

50M - 250M USD, Software

CRITICAL

“Convenient Screen Recording Features Offset by Unreliable Test Execution Issues”

3.0

Jan 29, 2026

The DataDog synthetic testing product has convenient screen recording options but unreliable test execution and poor test management UI, making it very hard to manage large test suites and rely on results.

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.

For Market:
Observability Platforms

About Company

Company Description

Datadog specializes in providing a comprehensive monitoring platform for cloud applications. It collects data from diverse sources such as servers, containers, databases, and third-party services, aiming to make the stack fully observable. By offering these features, Datadog assists DevOps teams in preventing downtime, addressing performance problems, and ensuring optimal user experience.

Company Details

Company type

Public

Year Founded

2010

Head office location

New York, United States

Number of employees

1001 - 5000

Website

http://datadoghq.com

Do You Manage Peer Insights at Datadog?

Access Vendor Portal to update and manage your profile.

Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

User Sentiment About Datadog

Reviewer Insights for: Datadog

Deciding Factors: Datadog Vs. Market Average

Performance of Datadog Across Market Features

Datadog Likes & Dislikes

I like the unified view of synthetics for API tests and APM for code traces. I can set up a synthetic test to hit our login endpoint every minute from 5 different global locations, and if latency spikes, I can click a button to see the exact SQL query or downstream microservice that caused the delay. CI/CD integration for quality gates is also top tier, and we can block deployment if the Datadog performance baseline isn't met.

Recording browser tests is simple, reliable, and visually friendly. It has simple controls to stop and start the recording and generated test steps that were relatively easy to customize, remove, insert, and rearrange.

1st i like most about Datadog is the logging system, where it helps us to debug the data (i.e. incase the data is not integrated properly in client Point of Sale) 2nd is that we use the charts and graphs to monitor server loads and see where we can improvise and 3rd is the search functionality which we can use to find a specific data when we want to debug somethings (i.e. serach terms like trace_id, @events, etc)

The log rehydration cost and the general pricing for custom metrics is painful. We often have to sample our traces aggressively (only keeping 1% of success logs) to keep costs down, which sometimes means we miss the context on rare edge case bugs. Also, the UI for building complex dashboards can be overwhelming for new hires compared to simpler tools.

The test suite tends to have flaky failures about ~40% of the time, which makes it nearly impossible to rely on for definitive test results. Also, managing large lists of tests is very hard with the current UI and list-based system. One flow with branched logic would require one test per branch, relying on naming conventions and tagging to keep them organized, which is difficult at scale.

I dislike the most is about the cost, its too costly when the usage increases. earlier we used to log 1 month data, but since the data volume increase at our end, we had to reduce the logs to 15 days to get in budget

Top Datadog Alternatives

Peer Discussions

Datadog Reviews and Ratings

Recommended Gartner Insights

Gov't/PS/Ed

Education

Review Source

Linking Synthetic API Failures To Backend Traces Speeds Up Debugging Process

IT SERVICES ASSOCIATE

1B-10B USD

IT Services

Logging System Facilitates Data Integration and Issue Debugging in Point of Sale

4.0

Mar 13, 2026

I primarily use datadog to get the logs from 3rd Party, injecting it an our application, then after updating the same data integrate it info Point of Sale. With this logging system we see that data is integrated without any loss of required data and in POS readable form. also I use it to monitor server load and with the help of graphs and data we know where we need to improvise.

Audit Associate

<50M USD

Miscellaneous

Centralizing Logs, Metrics, and Alerts Streamlines Monitoring and Incident Response

Mar 23, 2026

Overall, Datadog has been a solid tool for us. We use it for pretty much everything: logs, monitoring, APM, alerting, incidents. Having it all in one place makes life a lot easier. It's not perfect, pricing can get out of hand as you scale, but day to day it does the job well and the team relies on it heavily.

Support Team Knowledgeable, Tagging and API Policy Enforcement Requires Enhancement

Feb 9, 2026

I've been working on a two of my previous jobs with Datadog as a preferred o11y tool for the past 6 years. KAM and support area really well knowledge people and the way we can onboard or test new features is something i really like on my new org.

Software Developer

50M-1B USD

Software

Smooth Team Integration and Observability Balanced by Steep Initial Adjustment Period

Mar 24, 2026

Overall a very pleasant experience. The UI and the product as a whole has come a long way since the last time we used it a few years ago. Comes with a lot of useful features that are both user friendly and easy to understand.