About Datadog

Datadog is a network monitoring tool that helps companies gain visibility into application performance. The software provides an overview of a product to a single SQL query and correlates app performance or errors with infrastructure metrics and events.

Datadog can help identify performance bottlenecks in code or infrastructure, and monitors hosts or containers. The platform can automatically trace requests across multiple libraries and frameworks, and enables auto-instrumentation to collect spans from frontend to backend. It collects performance data from infrastructure components like Redis and Elasticsearch, and offers integrations with web frameworks like Django, Ruby on Rails and Gin.

Datadog provides real- time dashboards with mix-and-match metr...


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Supported Operating System(s):

Windows 7, Windows Vista, Windows XP, Mac OS, Linux, Unix, Web browser (OS agnostic), Windows 2000, Windows 8, Windows 10

75 Reviews of Datadog

Average User Ratings

Overall

4.56 / 5 stars

Ease-of-use

4.0

Value for money

4.0

Customer support

4.5

Functionality

4.5

Ratings Snapshot

5 stars

(58)

58

4 stars

(32)

32

3 stars

(3)

3

2 stars

(1)

1

1 stars

(0)

0

Likelihood to Recommend

Not likely

Very likely

Showing 1 - 5 of 75 results

September 2019

Mauricio from Thirdlove

Company Size: 201-500 employees

Industry: Retail

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

4.0

Value for money

4.0

Customer support

5.0

Functionality

5.0

September 2019

Great platform for logs analysis and cloud monitoring

Choosing to use Datadog made my work so much easier to accomplish. The logs analysis is one of the best thing that I can have in order to monitor my projects performance and health. This tool performs well and it is really useful. Real time logging works well. Definitely a must have.

Pros

I think that the best features that Datadog has is that you can track and follow logs in real time, something really important to have if your project is live. I like the idea of creating custom views of sets of logs (with custom filters, data parsing and a lot more) and that you can share them with your team.

Cons

It is a bit complicated to set for the first time. Is not quite easy to use or know at first about all the available features that Datadog has. Interface is tricky and can be a blocker sometimes. Following that, if your fields are not mapped in the right way, filters are not that useful.

October 2019

Ankush from zendesk

Company Size: 1,001-5,000 employees

Industry: Computer Software

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

4.0

Value for money

4.0

Customer support

3.0

Functionality

5.0

October 2019

Datadog Review

Overall it's great monitoring/visualizing tool for any organization and I'd recommend, it would have been great if it had great learning resources to explore it more.

Pros

- The filter functionality is great which lets you filter out errors for quick analysis, can easily create custom dashboards. - Great Visualizations, easy to set up dashboards/monitors with options do maths like ratios, rates, average, interval. - It can be easily integrated with other apps like Slack to set alerts for failed jobs. -

Cons

- A slow learning curve, lack of resources on how to get useful functionality from UI or APIs. - UI sometimes be bit slower although not bad if you've integrated with multiple external apps.

January 2020

Anonymous

Verified Reviewer

Company Size: 11-50 employees

Time Used: Less than 6 months

Review Source: Capterra


Ease-of-use

4.0

Functionality

5.0

January 2020

Great for working with AWS

We have been using DataDog to monitor our lambda logs for errors as well as keep track of load and uptime on various RDS and EC2/Fargate instances. The multiple account setup can be a bit flakey at times but overall the product works well and has a consistent interface

Pros

The log imports from AWS work really well and are much faster at searching than using AWS Cloudwatch. I find it easy day to day to search for items in logs, especially after implementing a few log transformers

Cons

initial setup gets a bit confusing sometimes, and it was easier to change the logging format of our code than to implement lots of parsers to make the log interpretation better

Reasons for Choosing Datadog

better / easier integration with our current development stack

December 2019

Anonymous

Verified Reviewer

Company Size: 11-50 employees

Time Used: More than 2 years

Review Source: Capterra


Ease-of-use

4.0

Value for money

5.0

Functionality

5.0

December 2019

Datadog Sniffs Out Problems Fast

Datadog is an amazing cloud monitoring solution that provides great insight and alerting for our platform.

Pros

Datadog provides a great, easy-to-use and extensible interface for displaying data out of your own systems, providing you the insight to sniff out issues as they arise.

Cons

No matter how many integrations Datadog builds in, there will always be gaps, and some of those gaps hit our needs. As such, we need to use several monitoring solutions to cover our whole platform.

September 2017

Dmitry from Trucker Pat

Company Size: 51-200 employees

Industry: Computer Software

Time Used: Less than 12 months

Review Source: Capterra


Ease-of-use

4.0

Value for money

2.0

Customer support

3.0

Functionality

2.0

September 2017

It looks very sleek but default integrations won't show you much, so a lot of customization needed.

It allowed us to jumpstart our monitoring. But in the end we had to switch to a different SaaS provider, even though it costs little bit more, and it's not so well known and widely marketized.

Pros

I liked it very much. So nice to have that event stream and subscriptions. And it's very easy to share your findings with colleagues.

Cons

Default setup is just empty. These plugins they list as available will give you only so very basic info, that it's totally worthless. We had to write our own plugins for each and every service and part of our system. And the support team ignored my questions regarding future improvements in Kubernetes plugin.