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What is Datadog?
Datadog is a monitoring service for hybrid cloud applications, assisting organizations in improving agility, increasing efficiency, and providing end-to-end visibility across the application and organization. Datadog is the essential monitoring platform for cloud applications that brings together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.
Company Details
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Get AssistanceDatadog Ratings
Real user data aggregated to summarize the product performance and customer experience.
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
86 Likeliness to Recommend
89 Plan to Renew
75 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+70 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love Datadog?
Pros
- Fair
- Helps Innovate
- Reliable
- Enables Productivity
Cons
- Less Effective Service
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Cloud Resource Management
Security and Access Control
Budgeting and Forecasting
Governance Risk and Compliance
Reporting and Dashboards
Integrations
Cloud Vendor & Pricing Optimization
Consumption Cost Modeling
Cloud Tagging
Container Optimization
Resource Optimization
Vendor Capability Ratings
Business Value Created
Breadth of Features
Product Strategy and Rate of Improvement
Quality of Features
Ease of Implementation
Availability and Quality of Training
Ease of IT Administration
Ease of Data Integration
Ease of Customization
Usability and Intuitiveness
Vendor Support
Also Featured in...
Application Performance & Observability-Enterprise
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Systems Management
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Network Monitoring - Enterprise
Translation missing: en.product_page.ratings.score 8.6
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IoT Management
Translation missing: en.product_page.ratings.score 8.5
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AIOps
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Datadog Reviews
Daniel R.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted May 2025
DataDog shows the user just what happening
Likeliness to Recommend
What differentiates Datadog from other similar products?
Datadog records the Issues on an item level, so issues can be traced back to a single line
What is your favorite aspect of this product?
Issue reporting at a fine level, not just the page that failed Each action record can show any related issues hidden in the background
What do you dislike most about this product?
When recording action on a Test script, the user can't manually edit some fields. There are some feature requests still in the works
What recommendations would you give to someone considering this product?
Get a demo of your product, even if it's only the first page. You should be able to see the value in the issues reported
Pros
- Reliable
- Performance Enhancing
- Enables Productivity
- Unique Features
Cons
- Less Effective Service
Cerina C.
- Role: Information Technology
- Industry: Finance
- Involvement: End User of Application
Submitted Mar 2026
One Platform; Full-Stack Observability
Likeliness to Recommend
What differentiates Datadog from other similar products?
Provision of full stack observability and not just network monitoring since it combines the three observability pillars namely metrics, logs and traces hence covers performance analytics, logs, network traffic, applications, cloud services and infrastructure. Contains a large integration ecosystem making it easy to integrate with the existing Finacial IT infrastructure.
What is your favorite aspect of this product?
It is a SaaS monitoring platform and this reduces infrastructure management overhead for my team Has a strong APM
What do you dislike most about this product?
Has a complex pricing structure that is dependent on APM traces, hosts, network and synthetic monitoring among others all of which make cost management quite challenging
What recommendations would you give to someone considering this product?
For enhanced cost management control log and metrics retention by monitoring only the critical hosts, reducing log retention period, using sampling for traces and filtering all unnecessary logs.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Raymond G.
- Role: Information Technology
- Industry: Entertainment
- Involvement: IT Development, Integration, and Administration
Submitted May 2025
We love Datadog at Tubi/Fox to track all metrics
Likeliness to Recommend
What differentiates Datadog from other similar products?
It's so in-depth, comprehensive, and customizable in how it lets us make dashboards, monitors, alerts, and track logs for all our metrics. Plus it has many different vendor integrations.
What is your favorite aspect of this product?
I love the depth, detail, and breadth of all its features and vendor integrations for tracking real-time data.
What do you dislike most about this product?
For unclear docs, I see no good way to get tech support besides Datadog's public Slack channel. No 800-number hotline, chatbot, or technical support engineer I can directly contact for help. No way to make customer support tickets. Its docs lacks specific, custom examples a ChatGPT chatbot could help solve. When I have a time gap in data, the graph just draws a straight line between the last 2 data points, though they may be separated by days. I want Datadog stop graphing during time gaps. When I zoom out time to weeks/months, data graph resolution drops big time. Sometimes I see graph spikes that aren't real.
What recommendations would you give to someone considering this product?
Setting up Datadog with no help may be confusing. Talk to coworkers who've used it before and study their dashboards, monitors, and logs. Set up customer support account to talk to Datadog engineers.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Cons
- Less Caring