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?
About the vendor
- Datadog
- Founded in 2010
Datadog support
- 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 US$15.00/month.
Pricing plans get a free trialAbout the vendor
- Datadog
- Founded in 2010
Datadog support
- Phone Support
- Chat
Languages
English, Japanese
Datadog videos and images






Features of Datadog
Reviews of Datadog

Mauricio
Great platform for logs analysis and cloud monitoring
Comments: 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.
Laura
Powerful and flexible
Comments: We can connect traces, logs and events on our infrastructure. We can follow every HTTP request that arrives at our API to the individual services. If errors or other events occure we can see them, as they are connected with each request / trace. This helped us a lot in finding bottlenecks in our microservice architecture
Pros:
I really like that datadog offers a free tier to get startet with it. It helped building a net of monitoring around our servers and services. We have implemented a wide collection of (they call it synthetic tests) that we use as an continuous integration test suite. We even can monitor the performance of different application versions.
Cons:
Even if their locally installed agent on our servers is very flexible and can collect so many information, the configuration via YAML files is difficult to start with. The learning curve here is pretty steep in the beginning.
Alternatives Considered: New Relic
Reasons for Switching to Datadog: The possibilities to make evaluations were much better back then
Craig
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
Marcos
Datadog is great! Room to improve but definitely the future of observability
Pros:
For us the most liked feature of Datadog is the possibility to compare all data that we received from our platform. Being able to compare the platform status, the network status, the performance traces, the logs is really helpful letting us find issues where we couldn't find if we will do it manually.
Cons:
Datadog is great but it misses something, for example it could include a self remediation tool. Since every server has already installed a Datadog agent it would be so helpful if with the UX we could add, edit or delete custom checks in python or something like that, and if we could automate some actions programmed in the UX so we could work and integrate with escalation policies, alerts and more.
Alternatives Considered: Prometheus, Grafana and Elastic
Reasons for Choosing Datadog: Pandora was not escalating like we expected and we wanted to search for a unified product that covers everything we need, server monitoring, database monitoring, APM...
Switched From: Pandora FMS
Dnyanoba
Datadog for log analysis of cloud
Comments: Till now we have one of the good experience with the data dog as it is helping us a lot in monitoring our cloud and database server. A support from datadog team is also good thing to consider.
Pros:
The best feature of data dog is real time monitoring of logs and vulnerability scan which stands unique to save the server and cloud from further damaging
Cons:
The datadog user interface is very hard to learn and with the minimum training anyone cannot operate it fully also a lot of integrations are very difficult to operate.
Alternatives Considered: Panther
Reasons for Switching to Datadog: Price of datadog is very less when compared to other competitors and data dog has lot of feature which stands a top among its competitors datadog can work very smoothly in large data as well.