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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

Why we choose Datadog over other services.

Rating: 10 out of 10
July 5, 2025
IncentivizedVetted ReviewVerified User
We use Datadog to assess logs and rum sessions & review the scope of our code. It's a fascinating tool, to be very honest; we switched over to it after using other service...
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Verified user
Team Lead
Datadog1 year of experience

Datadog Review

Rating: 8 out of 10
July 5, 2025
IncentivizedVetted ReviewVerified User
Single place to see everything, breadt of the tools available cover pretty much every use case. We focus on the most basic ones like logging/tracing/metrics, but also rely a ...
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Fernando Battistella
Engineer - Engineering
DevOps Engineer
Finch
Datadog8 years of experience

Datadog is a great product to gain visibility into your systems

Rating: 10 out of 10
July 5, 2025
IncentivizedVetted ReviewVerified User
Datadog is used to provide detailed insight into our infrastructure and Saas applications across multiple environments. It is a single interface that brings all our data toget...
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Todd Burkholder
Manager - Information Technology
Sr. Software Development Manager
Our Sunday Visitor, Inc
Datadog2 years of experience

Top notch product with cutting edge features

Rating: 8 out of 10
June 10, 2025
IncentivizedVetted ReviewVerified User
Datadog serves as our primary observability platform and helps us to maintain responsive incident management strategy for our product. Datadog covers many use cases which incl...
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Jaswanth Banavathu
Engineer - Engineering
DevOps Engineer
Alkymi
Datadog3 years of experience

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
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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

View all alternatives

Compare with

New Relic

New Relic

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Sentry

Sentry

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Prometheus

Prometheus

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Grafana

Grafana

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PagerDuty

PagerDuty

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Graylog

Graylog

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Dynatrace

Dynatrace

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Amazon CloudWatch

Amazon CloudWatch

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Splunk Observability Cloud

Splunk Observability Cloud

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IBM Instana

IBM Instana

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Contact Vendor
Sumo Logic

Sumo Logic

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NetBrain Technologies

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Logz.io

Logz.io

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SolarWinds Hybrid Cloud Observability

SolarWinds Hybrid Cloud Observability

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Reviews and Ratings

(275)

Reviews

(1-5 of 31)

Datadog - A good solution.

Rating: 5 out of 10
Incentivized
May 10, 2016
Verified User
Engineer in Engineering
Computer Software Company, 51-200 employees
Vetted Review
Verified User
Datadog
1 year of experience
Use Cases and Deployment Scope
Datadog is being used to pull variable information from an agent on each of our servers and sent to a centralized location so we have a one stop place to understand how well our servers and services are doing. It is being used by the operations team as well as developers. It addresses getting having to go many places to get the same information.
Pros
  • Centralized data.
  • Quick easy graphs.
  • Customization.
Cons
  • Many other products out there like it.
  • Not as dynamic as some other open source tools.
  • Pricey compared to open source tools.
Likelihood to Recommend
Datadog can be used by any company that wants to get a deeper understanding of their systems and services. It's great for each project to determine what quantifiable data would lead to success. It would be less appropriate to use it for financial information as there are lots of better tools for that.

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

Rating: 8 out of 10
Incentivized
May 14, 2025
Verified User
Engineer in Engineering
Computer Software Company, 11-50 employees
Vetted Review
Verified User
Datadog
4 years of experience
Use Cases and Deployment Scope
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 debug issues with contextual insights. Metrics help us monitor system performance in real time, from server CPU to application-specific KPIs. We’ve created tailored dashboards to visualize key data points for different services, enabling faster decision-making during incidents or deployments. For alerting, we’ve set up threshold- and anomaly-based alerts that notify us via Slack when something goes wrong, allowing us to respond proactively. Datadog keeps our team aligned and efficient without needing a dedicated ops team.
Pros
  • Tracking and grouping errors, with comment history across time
  • Searching and retaining logs
  • Creating custom dashboards and alert monitors
Cons
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
Likelihood to Recommend
Datadog excels in microservices environments where visibility across distributed systems is critical. For example, we use it to trace latency spikes across services, correlate logs during outages, and monitor deployments with custom metrics. It’s ideal for real-time alerting—catching memory leaks or sudden traffic drops. However, for large-scale log ingestion, it becomes expensive quickly, making it less ideal for storing high-volume debug logs long-term. Also, Datadog’s UI can be overwhelming for new users, requiring training to navigate effectively. For simpler apps or teams needing only basic monitoring, lighter-weight or open-source tools like Prometheus and Grafana might be more appropriate.

Great product, kinda expensive

Rating: 9 out of 10
Incentivized
November 21, 2020
Verified User
Engineer in Information Technology
Information Technology & Services Company, 501-1000 employees
Vetted Review
Verified User
Datadog
3 years of experience
Use Cases and Deployment Scope
It is used to monitor multiple hosts for networking, compute, and memory along with application-level metrics (errors, performance, etc). This allows for site reliability engineers to determine the cause of errors and gain other data for root cause analysis (RCA).
Pros
  • Visualization
  • Network mapping
  • Error finding
Cons
  • Navigation to new areas can be counterintuitive.
Likelihood to Recommend
A situation in which you have multiple applications deployed to virtual machines (VMs) with the need for application-level performance, errors, etc.

Datadog tool

Rating: 9 out of 10
Incentivized
August 04, 2018
RN
Rahul Narula
Senior Engineer
Adobe Systems (Computer Software, 10,001+ employees)
Vetted Review
Verified User
Datadog
1 year of experience
View profile
Use Cases and Deployment Scope
Datadog is implemented as APM of choice for our organization at the platform level. Any team across the company opting to use the platform gets Datadog to gain insights into the platform with metrics like ELB, container & network stats, memory usage etc. This integration comes out of the box for the clients which they can use for monitoring their services
Pros
  • Easy to setup and use
  • offers wide variety of integrations with third-party services and systems
  • Cheaper than competitors
Cons
  • No custom query language which can be handy
  • Initial setup and configuration can be painful at the start
  • Additional reporting capabilities missing
Likelihood to Recommend
We are using Datadog to send Hystrix metrics of various service there and had setup various monitors and alerts which alerts on any underlying issue ahead of time before a major failure. Also created a dashboard quite similar to Hystrix Dashboard with ability to look back in time. It has worked well for us.
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