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Datadog

Datadog

Overview

What is Datadog?

Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

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Awards

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Pricing

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Log Management

$1.27

On Premise
per month (billed annually) per host

Infrastructure

$15.00

On Premise
per month (billed annually) per host

Standard

$18

Cloud
per month per host

Entry-level set up fee?

  • Setup fee optional
For the latest information on pricing, visithttp://www.datadoghq.com/pricing/?utm_s…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

Starting price (does not include set up fee)

  • $18 per month per host
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Product Demos

Cloud Security Management

YouTube

Application Vulnerability Management Demo

YouTube

Serverless Monitoring Demo

YouTube

Continuous Profiler Demo

YouTube

AWS Monitoring Demo

YouTube

Container Monitoring Demo

YouTube
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Product Details

What is Datadog?

Datadog is a monitoring, security and analytics platform for developers, IT operations teams, security engineers and business users in the cloud age. Datadog's SaaS platform integrates and automates infrastructure monitoring, application performance monitoring and log management to provide unified, real-time observability of their customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.

Datadog Features

  • Supported: Datadog's APM traces requests from end to end across distributed systems
  • Supported: Logs from all services, applications, and platforms can be explored and analyzed
  • Supported: Proactively monitor critical user journeys and visualize user experience data in one place
  • Supported: Frontend performance can be correlated with business impact using user experience metrics
  • Supported: Real-time interactive dashboards can be built to monitor metrics, traces, and logs
  • Supported: Visualized traffic flow in cloud-native environments
  • Supported: Monitoring of ephemeral systems without fatigue using machine learning-based alerts
  • Supported: Detects threats in real-time across applications, network, and infrastructure with Security Monitoring
  • Supported: Free trial, no credit card needed
  • Supported: Datadog's 850+ built-in integrations aggregate metrics and events across the entire stack

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.Screenshot of Datadog's Host Map, which lets users see all hosts together on one screen, grouped and filtered as desired, with metrics made instantly comprehensible via color and shape.

Datadog Videos

Datadog offers a single unified platform to monitor infrastructure, applications, networks, security threats, and UX. Users can navigate between metrics, traces, and logs. Built-in machine learning tools, clear visualizations, and a companion mobile app make it easy to monitor growing environments.
Businesses can consolidate their tools with Datadog’s all-in-one observability and security solution in order to drive resource efficiencies while accelerating time to market and delivering superior customer experiences.
Datadog provides real-time visibility and actionable insights into hybrid and multi-cloud environments, helping complex organizations streamline incident management, reduce costs, and maximize uptime in a single, unified platform.
Global financial services institutions monitor the health, security, and performance of their most business-critical systems with Datadog’s unified observability platform.

Datadog Integrations

Datadog Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows, Linux, Mac, Debian, Ubuntu, CentOS/RedHat, Fedora, CoreOS, Docker, Kubernetes, Openshift, SmartOS, Chef, Puppet, Ansible
Mobile ApplicationApple iOS, Android
Supported CountriesUnited States, Canada, United Kingdom, Australia, Austria, Belgium, Denmark, Finland, France, Germany, Ireland, Italy, Japan, Liechtenstein, Luxumbourg, Netherlands, New Zealand, Norway, Singapore, South Korea, Spain, Sweden, Switzerland
Supported LanguagesEnglish

Frequently Asked Questions

Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

Datadog starts at $18.

Splunk Cloud Platform, Dynatrace, and New Relic are common alternatives for Datadog.

Reviewers rate Support Rating highest, with a score of 8.9.

The most common users of Datadog are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(271)

Reviews

(1-5 of 31)

Watch and monitor clustered applications easily

Rating: 9 out of 10
April 13, 2018
Vetted Review
Verified User
Datadog
1 year of experience
It's being used by all engineers. We have scaled our e-commerce, and Datadog makes easier to look at each cluster. One great point of Datadog is how easy it is to identify an unhealthy box. Also, another great one, is to watch important metrics like CPU and memory. It's way easier to watch it on Datadog rather than AWS itself.
  • Monitoring unhealthy box instances
  • Watch CPU usage
  • Watch Memory Usage
Cons
  • Monitoring logging issue. To do that, we need other kinds of tool, such as Splunk.
  • It takes a time to create a dashboard from scratch. It's easy to set up by a senior user, but it is not for beginners.
It's well suited for any scaled application. During peak time, we can scale up our application, and start watching it via DataDog. Doing so, DataDog provides us a hand dashboard to watch (un)healthy box instances. Last time, it pointed some instances that had a severity memory leak. By identifying those instances, it makes easier to replace that unhealthy instance quickly.

Good solution for cloud monitoring

Rating: 8 out of 10
August 18, 2017
Vetted Review
Verified User
Datadog
1 year of experience
We use Datadog for monitoring our public cloud. We integrate it with some of the AWS components and monitor our instances on the cloud. It's a great solution for cloud-based monitoring with APIs.
  • Dashboards are so great.
  • Rest API functionality makes this one of the best monitoring tools on the market.
  • With the integration it provides with cloud watch, there is an option to monitor even without the agent installation.
Cons
  • We need to automate the agent installation, otherwise, it's a tedious job to do manually.
  • The integration with AWS had some issues in the past, but that seems better now.
  • This product has a steep learning curve at the beginning.
It's well suited for monitoring instances in the cloud. Good pricing. But I feel that the performance monitoring and instrumentation is still better in New Relic.

A lifesaver in server monitoring

Rating: 9 out of 10
June 24, 2019
Vetted Review
Verified User
Datadog
4 years of experience
Our DevOps team utilizes DataDog to be aware of any abnormalities across our infrastructure, whether hosted or local. We can look in one place to see stats and alarms across all infrastructure, independent of hosting provider's console. Being a software company, we can also send events to DataDog via their API to generate alerts for certain activity within our applications.
  • Server resource usage
  • Multi-stage alerts based on configurable thresholds
  • Custom Dashboards of all accumulated data
Cons
  • We had a couple "integrations" that had some issues during setup, but Support addressed them very quickly
  • Unnecessary alerts about DataDog components...by the time I see them, they're almost always also fixed
  • I wish there was a DataDog mobile app that would have dedicated alerts (configurable per alert to override Do Not Disturb setting) instead of relying on emails notifications that could be overlooked in the midst of many incoming emails around the same time.
Datadog is a no-brainer for any environment that relies on multiple servers. Even for one server, it's so much better to use for monitoring and alert capability than anything else I remember looking at before we started using Datadog. Teams can even use it to track their progress of investigating an alert so multiple people aren't unknowingly looking into the same exact issue unnecessarily.

All the DevOpsy things

Rating: 10 out of 10
February 15, 2017
Datadog helps us monitor our applications and ensure uptime. It is widely adopted by the entire engineering organization. When it comes to gathering performance metrics and tuning of our software applications, Datadog is just what we need. It ensures our infrastructure is highly available with fast and reliable services to our customers.
  • Metric and time series data collection
  • Integrations with other tools like PagerDuty, Slack and AWS
  • Creation of monitors to trigger alarms and notify teams
Cons
  • Easier way to create new dashboards and a way to implement them as code
  • Datadog needs to be woven into application's code which creates dependencies
  • Make the datadog agent more robust and reliable
Datadog fits your use case perfectly if you're writing, testing and running applications generating huge amounts of data and want a way to view this information graphically. Datadog has valuable features like sharable dashboards, Slack integration, CloudWatch integration and alerting. It might be less appropriate for monitoring system and process level metrics. It can certainly do those but there are other tools out there like Zabbix, Nagios and Icinga.

Datadog is a great monitoring tool!

Rating: 9 out of 10
December 07, 2020
RR
Vetted Review
Verified User
Datadog
2 years of experience
Datadog is used by couple of departments within the organization. We are using it to monitor our infrastructure such as the servers, containers, processes, storage health as well as to load and look into the metrics.
  • Single stop for monitoring various database types and their infrastructure.
  • Easier to look into metrics history.
  • Managing downtime for various resources is simple.
Cons
  • It would be good if there were a way to remove resources from Datadog faster.
An organization that has multiple types of NoSQL databases and different applications can definitely use Datadog to have as a one-stop solution to monitor resources as well as metrics.
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