What Is Datadog?
Datadog is a SaaS-based monitoring, security, and analytics platform for cloud-scale infrastructure, applications, logs, and more. The platform assists organizations in improving agility, increasing efficiency and providing end-to-end visibility across dynamic or high-scale infrastructures. By collecting metrics and events from 400+ out of the box services and technologies, Datadog enables Dev, Sec, and Ops teams to ensure application uptime and accelerate go-to-market efforts.
Who Uses Datadog?
Datadog is the monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age.
Where can Datadog be deployed?
Cloud, SaaS, Web-based, Mac (Desktop), Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise), Android (Mobile), iPhone (Mobile), iPad (Mobile)
About the vendor
- Datadog
- Founded in 2010
- Phone Support
- Chat
Languages
English, Japanese
Datadog pricing
Starting Price:
- Yes, has free trial
- Yes, has free version
Datadog has a free version and offers a free trial. Datadog paid version starts at USD 15.00/month.
Pricing plans get a free trialAbout the vendor
- Datadog
- Founded in 2010
- Phone Support
- Chat
Languages
English, Japanese
Datadog videos and images











Features of Datadog
Reviews of Datadog

Dikshyaraj B.
one of the best APM tool
Comments: overally it was fulfilling all the needs like monitoring, log tracking and service status etc.
Pros:
The best part about datadog is the user friendly the UI it has the graphs and metics are just perfect and doing analysis is also very fine ,with accordance to time frame. Log monitoring is the best.
Cons:
error tracking and mangement is good but we need to set all the metrics else there is chance that downtime occured and we seeing afterwards.
Ankush K.
Datadog Review
Comments: 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.
Verified Reviewer
Must have for your application monitoring and infrastructure management
Comments: Overall we are using datadog for application performance monitoring on daily basis an it has really helped us resolve application incidents.
Pros:
Application performance monitoring, server and database monitoring, dashboards & reporting, proactive incident management
Cons:
Sythentic queries are difficult to grasp. Need support for more geographies for application performance Monitoring
Alternatives Considered: AppDynamics
Craig V.
Couldn't install
Comments: 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.
Alternatives Considered: Site24x7 and Raygun
Reasons for Choosing Datadog: Price
Switched From: Retrace by Netreo
Verified Reviewer
Great for working with AWS
Comments: 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
Alternatives Considered: Loggly
Reasons for Choosing Datadog: searching logs was too slow and difficult to get the results we desired quickly (especially to track down recent customer problems)
Reasons for Switching to Datadog: better / easier integration with our current development stack