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 dash...


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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

108 Reviews of Datadog

Average User Ratings

Overall

4.55 / 5 stars

Ease-of-use

4.0

Value for money

4.0

Customer support

4.5

Functionality

4.5

Ratings Snapshot

5 stars

(66)

66

4 stars

(38)

38

3 stars

(4)

4

2 stars

(1)

1

1 stars

(0)

0

Likelihood to Recommend

Not likely

Very likely

Showing 1 - 5 of 108 results

September 2019

User Profile Picture

Mauricio from Thirdlove

Verified Reviewer

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.

August 2019

Anonymous

Verified Reviewer

Company Size: 501-1,000 employees

Time Used: Less than 6 months

Review Source: Capterra


Ease-of-use

4.0

Value for money

5.0

Customer support

4.0

Functionality

4.0

August 2019

Analytics tool which helps customers and users always get the product you want them to get

Overall, having Datadog monitor our apps' performance and customers/users' pain points is invaluable. It's an amazing tool which lets us identify bottlenecks and better serve our users. Although the initial learning curve of utilizing Datadog's plethora of data analytics tools is steep, it's well worth the effort and price as there is much value to the metrics Datadog provides.

Pros

Datadog is probably one of the most notable analytics tool out there for large companies. It's easy to track users' flow in terms of what routes they're hitting, when they hit a snag and 404, or other metrics like how performant certain requests are which allows us to identify bottlenecks and get rid of them immediately.

Cons

There is a steep learning curve I will say with this software and needs an expert to help lead tutorials or sessions to get the ball rolling with new tool users. Although there are many built in functionalities and easily customizable features, it can be overwhelming and hard to pinpoint exactly what type of analytics you're looking for. It's one of those softwares where you have to play around with it to get the stars to align and find a model or metric that works best for your customers and use cases.

Reasons for Choosing Datadog

Datadog seemed to be more data intensive and specifically geared towards products like ours which really relied on app throughput, performance, and availability. Getting our product straight to the user, in a quick and efficient manner, is our priority and Datadog helps clear any blockers or issues that gets in the way of that.

October 2021

User Profile Picture

Yaniv from Wochit

Verified Reviewer

Company Size: 11-50 employees

Industry: Computer Software

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

4.0

Functionality

4.0

October 2021

Good service for logs management and analysis

We used it for querying and analyzing logs in case of problems in our platform (bugs, stability, performance, etc.)

Pros

The searching and filtering capabilities where quite convenient

Cons

The stability issues in the last year got more often than usual, which is quite problematic when you need access to you logs in real-time

Reasons for Switching to Datadog

Mainly due to Splunk's stability problems that occurred more towards the end of our contract with Splunk

December 2020

Craig from NewChurchTek Pty Ltd

Company Size: 2-10 employees

Industry: Computer Software

Review Source: Capterra


Ease-of-use

1.0

Value for money

3.0

Customer support

2.0

Functionality

3.0

December 2020

Couldn't install

If you can get it running I am sure it's good.

Pros

Looks like it should do the job, less log limits than other products.

Cons

Spent days trying to get it working on a pretty vanilla Windows VM but never could get it up and running. Support pretty much just told me to read the documentation which wasn't really helpful after going over it ten times already. Had similar problem with another product and they could tell me the exact lines of the config and registry that needed changing.

Reasons for Switching to Datadog

Price

July 2021

Anonymous

Verified Reviewer

Company Size: 201-500 employees

Time Used: Less than 2 years

Review Source: Capterra


Ease-of-use

4.0

Functionality

5.0

July 2021

Monitoring for senior developers / platform people

We use it as a primary monitoring system. I'm a senior developer in charge of my team and I use it a lot. Dashboards are used daily in order to monitor what's happening, usually when deploying new features or changing some endpoints. We can trace the improvements we do by measuring response time, amount of errors, etc. I, as team lead, also use notebooks a lot to elaborate the QBR (quality business review) each quarter. I can create custom reports easily using the custom metrics we have configured across all the microservices. In comparison with New Relic, from my personal experience, Datadog is much better.

Pros

Dashboards. Custom metrics. Ruby integration. Notebooks. Monitors & alerts.

Cons

It takes time to understand each part and understand how to use it. It's a complex thing and if you're not familiar with monitoring systems it could be difficult to figure it out how you can find what you need.