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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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Learn from top reviewers

Great tool and industry standard

Rating: 7 out of 10
May 14, 2025
IncentivizedVetted ReviewVerified User
In our organization, Datadog is a core observability tool used across the platform and application teams to ensure the reliability, performance, and scalability of our systems...
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Verified user
Engineer
Datadog7 years of experience

Datadog

Rating: 8 out of 10
May 14, 2025
IncentivizedVetted ReviewVerified User
At our small startup of seven engineers, we use Datadog to centralize observability across our stack. For logging, we aggregate application and infrastructure logs to quickly ...
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Verified user
Engineer
Datadog4 years of experience

Great tool

Rating: 9 out of 10
May 14, 2025
IncentivizedVetted ReviewVerified User
Datadog provides us valuable insights to metrics and trends that help us make informed decisions. We also heavily use logging, along with traces, which provides full context o...
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Verified user
Engineer
Datadog3 years of experience

Datadog - a powerful all inclusive tool

Rating: 8 out of 10
May 14, 2025
IncentivizedVetted ReviewVerified User
Datadog is used as a monitoring and observability platform to gain real-time insights into performance, health, and errors within our infrastructure. We use infrastructure mon...
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Verified user
Team Lead
Datadog2 years of experience

Datadog - The Swiss Army Knife for SaaS

Rating: 8 out of 10
May 14, 2025
IncentivizedVetted ReviewVerified User
We use Datadog to monitor our SaaS offering from Cloud Infrastructure to Real User Monitoring with Session Recording with correlated APM and application logs. We also have Pro...
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Verified user
Engineer
Datadog1 year of experience
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Pricing

View all pricing

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
View more demos
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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 Competitors

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

Datadog Downloadables

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 22)

Datadog - a Single Pane of Glass for monitoring and logging

Rating: 9 out of 10
Incentivized
March 09, 2020
Verified User
Engineer in Information Technology
Retail Company, 5001-10,000 employees
Vetted Review
Verified User
Datadog
1 year of experience
Use Cases and Deployment Scope
We are testing and using Datadog in the e-commerce applications we are creating in a project to re-engineer our existing legacy applications, and transform them into a micro services based architecture hosted on several different cloud platforms. Datadog is helping us to monitor all the applications and the logging within a single pane of glass.
Pros
  • APM monitoring.
  • Logging.
  • Alerts.
Cons
  • Cost.
  • Training.
  • Documentation.
Likelihood to Recommend
Datadog is well suited to monitoring applications in the cloud.

Must have Monitoring and Logging tool in Devops Life cycle: DataDog.

Rating: 10 out of 10
Incentivized
June 29, 2023
AM
Aman Makwana
DevOps Engineer
Freecharge (Information Technology & Services, 201-500 employees)
Vetted Review
Verified User
Datadog
1 year of experience
View profile
Use Cases and Deployment Scope
DataDog is our OneStop solution for all our observability and monitoring stack needs for monitoring the Backend, Frontend, Database, Proxies, Servers, and all our other Infrastructure Components. Also has the flexibility to create, share and use Custom as well as predefined sets of Dashboards that help us troubleshoot many severe as well as production system-impaired issues. Fed custom metrics in Dashboards like Response time, data per environment, site availability, error rates, success rates, error as per error codes, and request tracing. Database dashboards can also give us many details like slow queries, reading high throughput, writing high throughput, and some recommendations to make our platform faster and more robust.
Pros
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
Cons
  • Handy Documentation.
  • Make Cost effective.
Likelihood to Recommend
DataDog Is well suited to all of the Infrastructure Monitoring Solutions, DB monitoring, and other Network monitoring also. It's not well suited because it cannot give perfect Infrastructure recommendations for our use case but also For example: If we are using AWS DB to monitor performance insights then Datadog is less effective there because AWS gives very niche recommendations.

Datadog Review

Rating: 8 out of 10
Incentivized
March 09, 2019
Verified User
Director in Engineering
Computer Software Company, 51-200 employees
Vetted Review
Verified User
Datadog
2 years of experience
Use Cases and Deployment Scope
We use Datadog on almost all of our production systems to give us granularity into how systems are running, and additionally, use Datadog's logging feature to aggregate all of our logs across systems in real time. Datadog's simple dashboards enable visibility from different providers to be displayed all in one place, even if systems are not from the same vendor.
Pros
  • Does a good job at log management with full search, live-access, and automatic archiving to S3 is also simple.
  • APM is fantastic and gives great insights into production machines, but is not cheap.
Cons
  • Because APM is billed by instance, it can be very expensive -- perhaps even more than the cost of the underlying instances depending on the kinds of systems you are running.
  • While it's not difficult to deploy, it certainly has quirks owing to the limits of cloud platforms -- we wish it was easier to set up for some services.
Likelihood to Recommend
For organizations that understand and require the value-add of Datadog, it's a great choice for log management, APM, and system visibility. Because of its costs, it's not well suited to smaller organizations, or organizations running lots of small workloads on inexpensive VMs, where you are stuck paying the same price that an organization would pay for a server 100x the size.

DataDog: Great Tool for Enterprise Monitoring, Alerts, Metric Aggregation, and Dashboards/Graphs

Rating: 9 out of 10
Incentivized
February 05, 2019
GS
Gabriel Samaroo
Senior Software Engineer
Rocketrip (Computer Software, 11-50 employees)
Vetted Review
Verified User
Datadog
2 years of experience
View profile
Use Cases and Deployment Scope
The engineering/dev-ops teams use DataDog as the tool of choice for monitoring our applications/servers, and for aggregating logs. All of our applications and micro-services use the DataDog Rest API to send metrics to, so that we can monitor performance and CPU usage, and setup alerts in case any issues arise.
Pros
  • Great UX. Good looking dashboards and advanced graphs.
  • Simple Rest API allowing integration with basically any service/application. Allows for the creation of a centralized source of data.
  • Good API documentation and very responsive customer service.
  • Good pricing model for micro-services. Can handle getting data from many sources without having to pay as much as alternatives.
Cons
  • Limitation on what you can do with reporting and analytics. If you need to do very advanced mathematical/graphing operations, might need to use data in another BI Tool to accomplish.
  • Good amount of upfront work to install and configure across your entire application/software stack. Heavy learning curve.
  • Logging capabilities not as robust as alternatives like Splunk.
Likelihood to Recommend
Datadog is great when you have a complex software system, with multiple applications and micro-services. If you have the resources to do the upfront work of integrating with your platform(s), it will be a great tool to handle monitoring/alerts. It also has nice features for log aggregation. The graphs and dashboards also make Datadog a useful tool to others, such as Managers and non-Engineers, not only for Dev-Ops and Engineers directly using it. If you want something to use quicker out-of-the-box or don't want to spend any money there are quicker/cheaper options.

Datadog Great but expensive

Rating: 6 out of 10
Incentivized
May 13, 2025
Verified User
C-Level Executive in Engineering
Computer Software Company, 1-10 employees
Vetted Review
Verified User
Datadog
6 years of experience
Use Cases and Deployment Scope
Use Datadog for error tracking, along with insight management with logs and apm traces. Apm traces is really helpful with nodejs opentelemtry as it allows us to track each of the function calls associated with the lifecycle of a specific trace (say an http requests lifecycle) which helps debug easier.
Pros
  • APM Traces
  • Watchdog
  • Logs
  • Error states
Cons
  • Expensive
  • Lack of easy facet management
  • Hard to query certain values
Likelihood to Recommend
Sentry might be better for something like error tracking honestly I feel like, because Datadog loses a lot of stack traces. Maybe this is a case of the Datadog client and / or agent not being that great at relaying the information from the originating context to the client to ingest.
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