Review Summary
See a synthesized overview of the key takeaways from verified reviews of Datadog.
Overview
Product Information on Datadog
Updated 13th October 2025
What is Datadog?
Datadog Pricing
Overall experience with Datadog
Engineer
Gov't/PS/ED <5,000 Employees, EducationFAVORABLE
“Linking Synthetic API Failures To Backend Traces Speeds Up Debugging Process”
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.
IT Security & Risk Management Associate
<50M USD, SoftwareCRITICAL
“All-in-One Access Appreciated, Though Volume-Based Billing Causes Frustration”
I think the overall experience has been aligned with what is expected but neutral. high lights and low lights.
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.
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
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- EngineerGov't/PS/EdEducationReview Source
Linking Synthetic API Failures To Backend Traces Speeds Up Debugging Process
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. - Audit Associate<50M USDMiscellaneousReview Source
Centralizing Logs, Metrics, and Alerts Streamlines Monitoring and Incident Response
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. - Engineer1B-10B USDIT ServicesReview Source
Support Team Knowledgeable, Tagging and API Policy Enforcement Requires Enhancement
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 Developer50M-1B USDSoftwareReview Source
Smooth Team Integration and Observability Balanced by Steep Initial Adjustment Period
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. - Engineering Manager50M-1B USDRetailReview Source
Rapid Feature Development in Datadog Balances Innovation With Documentation Gaps
Overall Datadog provides full observability suite, it's enabled us to develop our maturity model, reduce detection times and provide a better service to our business users
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