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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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Recent Reviews

TrustRadius Insights

DataDog is a versatile tool that offers a comprehensive solution for monitoring and observing various components of the infrastructure. It …
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Datadog Review

8 out of 10
March 09, 2019
Incentivized
We use Datadog on almost all of our production systems to give us granularity into how systems are running, and additionally, use …
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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

Reviewer Pros & Cons

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Pricing

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Free

$0

Cloud
Up to 5 hosts

Log Management

$1.27

On Premise
Per Million Log Events

Standard

$15/host

Cloud
Up to 500 hosts

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
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Product Demos

Datadog RUM Demo by Clint Osterholz

YouTube

Datadog Event Management Demo

YouTube

Integration Demo: Datadog

YouTube

Datadog integration with Azure offers a seamless configuration experience | Azure Friday

YouTube

Application Security Management Demo

YouTube

Datadog Demo - short

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: Aggregate metrics and events across your entire stack with Datadog's 450+ built-in integrations
  • Supported: Trace requests from end to end across distributed systems with APM
  • Supported: Explore and analyze logs from all your services, applications, and platforms
  • Supported: Proactively monitor critical user journeys and visualize user experience data in one place
  • Supported: Correlate frontend performance with business impact using user experience metrics
  • Supported: Build real-time interactive dashboards to monitor metrics, traces, logs, and more
  • Supported: Visualize traffic flow in cloud-native environments
  • Supported: Monitor ephemeral systems without fatigue using machine learning-based alerts
  • Supported: Detect threats in real-time across your applications, network, and infrastructure with Security Monitoring
  • Supported: Free trial, no credit card needed

Datadog Screenshots

Screenshot of Out-of-the-box and easily customizable monitoring dashboards.Screenshot of Datadog is built to give visibility across teams. You can discuss issues in-context with production data, annotate changes and notify your team, see who responded to that alert before, and remember what was done to fix it.Screenshot of Datadog seamlessly unifies traces, metrics, and logs—the three pillars of observability.Screenshot of Collect monitoring data from across your entire stack with Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map decomposes your application into all its component services and draws the observed dependencies between these services in real timeScreenshot of Centralize log data from any source.Screenshot of Datadog's Host Map let you see all of your hosts together on one screen, grouped however you want, filtered however you want, with metrics made instantly comprehensible via color and shape.

Datadog Videos

Datadog offers a single unified platform to observe your infrastructure, applications, network flows, security threats, UX, and more. For full visibility, you can seamlessly navigate between metrics, traces, and logs. See inside any stack, any app, at any scale, anywhere.
Datadog APM provides deep visibility into application performance and code efficiency, so you can monitor and optimize your stack at any scale and provide the best digital experience for your users. APM and distributed tracing are fully integrated with the rest of Datadog, giv...
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The Service Map automatically decomposes your application into all its services and dependencies so you can visualize your architecture in real time.

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 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.

Splunk Cloud, Dynatrace, and SolarWinds Log Analyzer (LA) are common alternatives for Datadog.

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

The most common users of Datadog are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(227)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

DataDog is a versatile tool that offers a comprehensive solution for monitoring and observing various components of the infrastructure. It has been widely adopted by engineering and DevOps teams for its ability to monitor applications, aggregating logs, and setting up alerts. Users have found it particularly useful for tracking and analyzing data, enabling them to make informed business decisions. With its user-friendly interface, DataDog makes it easy for users to navigate and utilize its features, addressing both business and technical needs in a rapidly evolving infrastructure. Customers have praised the software for its ability to streamline workflows, increase productivity, and manage business operations efficiently. The product's reliability and stability have also been commended with minimal downtime or technical issues. Additionally, the integration capabilities of DataDog with other software systems allow for seamless data transfer and efficient collaboration. The reporting and analytics capabilities have proven valuable in monitoring key metrics and performance. Users have also highlighted the prompt and helpful customer support provided by DataDog when needed.

In use cases specific to organizations such as Wayfair's Monitoring, Network Ops, and Critical Incident teams, DataDog is utilized to provision, manage, and maintain internal and external sites and applications. These teams rely on the software's dashboard functionality during server or website issues to quickly assess the current state of the environment. Furthermore, integration with ServiceNow allows for storing and indexing DataDog alerts, while additional notification systems ensure widespread communication of alerts to stakeholders.

DataDog proves its versatility by supporting a wide range of integrations, making it suitable for monitoring any service. It is implemented as the APM of choice for organizations seeking insights into metrics such as ELB, container and network stats, memory usage, slow queries, high throughput readings, and request tracing. This centralized solution helps organizations monitor instances in private cloud and AWS environments effectively. It aids in monitoring critical server uptime along with switches and routers while integrating with APIs for event generation and alerting.

The product finds its applicability in diverse scenarios, including monitoring public cloud instances, addressing complex monitoring requirements for IoT and mobile app APIs, and aiding in root cause analysis by monitoring multiple hosts for networking, compute, memory, and application-level metrics. DataDog has also proven valuable in e-commerce applications, providing a comprehensive solution for monitoring applications and logging within a single pane of glass.

Overall, users have reported positive experiences with DataDog, highlighting its usefulness in various use cases and praising its features such as the user-friendly interface, integration capabilities, reliability, and customer support.

Easy customization and understanding: Many users have found the dashboard in Datadog to be easy to customize and understand for their organization's needs, allowing them to effectively consume various site metrics.

Strong integration support: Several reviewers appreciate the strong integration support of Datadog, mentioning that it supports pretty much any service they can think of. This flexibility allows them to seamlessly integrate with other tools and services in their workflow.

Helpful customer support: Users have mentioned that Datadog's customer support is helpful and responsive. They appreciate the assistance provided by the support team in finding workarounds for any issues they encounter during their usage of the platform.

Challenging User Interface: Some users have found the user interface of Datadog to be challenging, particularly when searching for host information and the agent install link. Navigating and locating these features has taken some time.

Limited Reporting and Analytics: Several reviewers have mentioned limitations in reporting and analytics capabilities of Datadog. They feel that advanced mathematical and graphing operations are not well-supported, leading them to suggest using another business intelligence tool for these tasks.

Steep Learning Curve: Many users have emphasized a heavy learning curve associated with setting up and configuring Datadog across the entire application or software stack. This upfront work, combined with a lack of intuitive navigation, has made it overwhelming for newcomers to find the right metrics or dashboards unless they know exactly what they're looking for.

Based on user reviews, users commonly recommend the following for Datadog:

  • Try the free trial and evaluate different plans. Users suggest taking advantage of the free trial offered by Datadog to determine which plan best suits their needs. This allows users to explore the features and functionalities of Datadog before committing to a paid subscription.

  • Consider cost and compatibility. Customers advise being mindful of the cost associated with Datadog, particularly when compared to open-source solutions for managing a large number of servers. Additionally, users recommend considering the compatibility of Datadog with serverless styles, as this may impact its effectiveness in certain environments.

  • Conduct a proof of concept (POC) and onboard employees. Reviewers highlight the benefits of conducting a proof of concept (POC) with Datadog before fully integrating it into their infrastructure. They emphasize that Datadog is easy to evaluate and onboard employees, making it a valuable tool for monitoring complex infrastructures. Users also mention that building an alerting and monitoring system is made easier with Datadog's capabilities.

While some users mention that Datadog can be expensive compared to open source alternatives and may have a more complex user interface, they believe that once users become familiar with the app, it is highly efficient. The visualization tools and reporting metrics offered by Datadog are considered essential for any organization. Furthermore, reviewers praise the great support provided by Datadog and encourage reaching out to them for any questions or concerns.

Attribute Ratings

Reviews

(1-22 of 22)
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Anuj Rai | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
  • Application performance monitoring which is related to collecting traces in the application
  • Synthetic monitoring which is really cool feature of record and play with prior no programming knowledge is needed
  • Notebook where you can share the documents, SOP or any kind of documentation or notes with your team
  • Synthetic agent for private location as they have bug and this agents can't handle SSO
  • Also in synthetic monitoring while recording scenario everytime you have to go for incognito mode as there are some issue related to cache.
  • Database monitoring need some improvement in terms of monitoring oracle based databases
Aman Makwana | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • 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.
  • Handy Documentation.
  • Make Cost effective.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Single stop for monitoring various database types and their infrastructure.
  • Easier to look into metrics history.
  • Managing downtime for various resources is simple.
  • It would be good if there were a way to remove resources from Datadog faster.
Dmitry Pashkevich | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Thanks to the tool's versatility and a huge ecosystem around it, you can use it to track virtually anything.
  • Powerful alert and warning configuration let you drastically reduce false positives.
  • Runbooks give your team members guidance on how to act on alerts.
  • Powerful data analysis features: you can slice and dice your data, almost the same way you can do it in a behavioral analytics tool. This means you can efficiently refine your metrics as your business grows.
  • Overwhelming to use for newcomers.
  • Even when you're familiar with the tool, finding the right metric or dashboard can be challenging unless you know exactly what you're looking for.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Server resource usage
  • Multi-stage alerts based on configurable thresholds
  • Custom Dashboards of all accumulated data
  • 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.
March 09, 2019

Datadog Review

Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • 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.
  • 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.
Gabriel Samaroo | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • 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.
  • 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.
November 23, 2018

DataDog at Wayfair!

Anthony Zappala | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
  • Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
  • Lightweight agent on hosts
  • Reducing the delays in monitoring agent response time
  • Configuration of aggregate metrics, allow us to compile / aggregate data faster and with more ease
  • Improvements in Security policies
August 04, 2018

Datadog tool

Rahul Narula | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Easy to setup and use
  • offers wide variety of integrations with third-party services and systems
  • Cheaper than competitors
  • No custom query language which can be handy
  • Initial setup and configuration can be painful at the start
  • Additional reporting capabilities missing
Girivaru Tarun | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Monitors resource metrics well
  • always prompt
  • simple UI
  • customizations available for metric visualization
  • no Oracle integration
  • increased data retention of metrics
  • Support for more custom intergrations like Kubernetes etc.
  • go easy on pricing a bit!
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Monitoring unhealthy box instances
  • Watch CPU usage
  • Watch Memory Usage
  • 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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • 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.
  • 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.
Kevin Van Heusen | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • The dashboard is easy to customize and understand for our organization to consume various site metrics.
  • The integration support is very strong, pretty much any service you can think of is supported. Also can create custom metrics.
  • Datadog customer support is helpful and responsive. Can generally help with workarounds to any issues.
  • User interface could be improved in some areas, looking for host information and the agent install link takes a bit of time.
  • Configuration of the agent is generally done via a config file which is a pro and a con. It would be nice to have some UI to configure various agent options.
  • Billing isn't entirely straightforward, they could use more reports to figure out the source of your monthly costs.
February 15, 2017

All the DevOpsy things

Deepshikha Gandhi | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Metric and time series data collection
  • Integrations with other tools like PagerDuty, Slack and AWS
  • Creation of monitors to trigger alarms and notify teams
  • 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
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