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What Is Datadog?

Datadog Real User Monitoring (RUM) provides insight into your application’s frontend performance from the perspective of real users. Every user journey is correlated seamlessly with synthetic tests, backend metrics, traces, logs, and network performance data, so you can quickly detect poor user experience and resolve issues with context from across the stack.

Who Uses Datadog?

Datadog is a unified observability and security platform that provides IT, DevOps, and security teams with real-time monitoring, application performance insights, log management, and threat detection.

Datadog Software - Datadog's infrastructure overview
Datadog Software - Datadog's Logging without Limits product
Datadog Software - Datadog's network dashboard
Datadog Software - Datadog’s SaaS-based infrastructure monitoring
Datadog Software - Datadog APM provides end-to-end distributed tracing from frontend devices to databases- with no sampling.

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Reviews of Datadog

Average score

Overall
4.6
Ease of Use
4.2
Customer Service
4.3
Features
4.5
Value for Money
4.1

Reviews by company size (employees)

  • <50
  • 51-200
  • 201-1,000
  • >1,001
Shayla
Shayla
Human Resources Specialist in US
Verified LinkedIn User
Internet, 1,001–5,000 Employees
Used the Software for: 1+ year
Reviewer Source

Using Datadog to guarantee bug-free software

4.0 2 years ago

Comments: It's an intuitive program that provides users with comprehensive records of all recent actions. Displays success or failure of the process. If the attempt fails, identify the faulty stage. It explains everything from beginning to conclusion.

Pros:

All of Datadog's basic building blocks are top-notch. Their data ingestion is lightning fast and (usually) dependable, their graph widget is adaptable and usable in a wide variety of contexts, and they have a good track record of introducing products that combine these features.

Cons:

Our experiences with Datadog support have been continuously negative; the company goes out of its way to avoid direct communication and offers irrelevant answers.

Yves
Principal SRE in Canada
Computer Software, 10,000+ Employees
Used the Software for: 2+ years
Reviewer Source

Go-to Observability+ Platform

5.0 3 months ago

Comments: See pros and cons. My experience is mostly great. My go-to tool given the funds are there. Just be aware that support is lacking. I would love to see this improve and it would help us greatly if we were able to reliably get good help.

Pros:

Ease of use, extensive features, intuitive design. By far the easiest observability platform I've ever used while also being the most feature dense. Impressive, and improving faster than I can even keep up.

Cons:

Datadog support leaves much to be desired. They tend to be extremely dismissive, often trying to close the ticket as quickly as they can without offering any help. You really need to ask for escalations or hop on a call to get legitimate help the majority of the time. There is a long-running inside joke at our company that any bug we find will only get the response "ok, we can put in a feature request"...

Michal
Software Engineer in Canada
Accounting, 501–1,000 Employees
Used the Software for: 1-5 months
Reviewer Source

datadog for logs

4.0 last week New

Pros:

Ability to sort through logs and filter by specific keywords.

Cons:

The UI is a little hard to get used to, so the learning curve is pretty high.

Minh
Swe in Singapore
Internet, 51–200 Employees
Used the Software for: 6-12 months
Reviewer Source

Review datadog

2.0 3 months ago

Comments: Average log for enterprise. Pricey but does the work

Pros:

Good for searching logs. Can capture log in real time

Cons:

Hard to search for logs. Too many configurations

Henry
Sr. DevOps Engineer in US
Biotechnology, 51–200 Employees
Used the Software for: 2+ years
Reviewer Source

Alternatives Considered:

Best Single Pane of Glass Monitoring Solution

5.0 3 months ago

Comments: Overall, I like DataDog a lot. It beats the various disparate monitoring products we were using before.

Pros:

APM and single pain of glass. This makes it easy to get host metrics for resource utilization and an easy traceback for exceptions.

Cons:

Searching logs is not as intuitive as I would like. Text search doesn't work when logs are sent as JSON. Simple grep would make things easier.