TrustRadius
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.https://media.trustradius.com/product-logos/GT/VA/JE9H8ZIFRSGR.PNGA lifesaver in server monitoringOur 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,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.,9,Saved us (time & money) from developing our own monitoring utilities that would pale in comparison Alerts allow us to remedy issues before our customers even know about them Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.Very easy tool to adapt and to use!We had very complex monitoring requirements for APIs related to IoT and mobile app users. There were several different tools, no reliable results and we were losing credibility in the stability and reliability of our infrastructure. Also, all tools were very difficult to manage, implement and support, not to mention expensive.,API monitoring End-user experience Easy to implement,Agent-based Initial learning curve Azure integration could be easier,10,Improved reliability and trust in our infrastructure Increased trust with business peers and users since our mobile applications became more stable Enable us to perform real problem management and root cause detection,Dynatrace,10,Dynatrace, Amazon Kinesis, AWS Device FarmDataDog at Wayfair!DataDog is currently being used by Wayfair's Monitoring, Network Ops, and Critical Incident teams to provide a variety of data to provision, manage and maintain the existing infrastructure for internal and external sites and applications. It is a critical input to how these teams identify, tag, and respond to alerts within the company. We use Datadog for the current day to day provisioning tasks and well as prior/after any maintenance. It has a key plug-in with ServiceNow and this is a key integration at Wayfair. ServiceNow is used as the reporting platform to store and index all DataDog alerting. Further, we have built several notification systems to piggy back off DataDog alerts for clear and wide-spread notifications to all stakeholders of a particular stack of technology. The visuals and simple interface provides a clean and ready-made application in which to address the business and technical needs, for a rapidly evolving infrastructure. Wayfair has a tremendous amount of growth and we rely on this tool to grow and adapt alongside us. The Platform as a Service approach has proven to provide what we need, without the dependencies to support the infrastructure, which is a big bonus for our teams.,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,9,Reduced downtime in alert resolution (coupled with Servicenow) Quick turnaround for improvements where historical data gaps are identified Graphs/Visuals provide easy sharing/reporting to peers,DataDog: Great Tool for Enterprise Monitoring, Alerts, Metric Aggregation, and Dashboards/GraphsThe 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.,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.,9,Datadog's pricing model works very well with our software platform, in a much more cost effective way than it's competitors. The ability to centralize/aggregate data in a single location and set up alerts with thresholds has proven invaluable in catching potential issues, allowing our team to fix small, inexpensive issues before they become large, very expensive issues. The graphs and dashboards are used by stakeholders to understand key metrics and performance indicators, helping them make informed decisions when running the business.,New Relic, Splunk Cloud, Splunk Enterprise and VictorOpsDatadog ReviewWe 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.,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.,8,Visibility into systems and performance gives us a go-to overview of all of our services. APM provides additional context for which parts of our workloads are taking the most time from our servers, and gives us the ability to try to reduce these pain points. Log management makes viewing logs from remote systems much easier, ultimately saving time and a lot of developer frustration.,Nagios and Zabbix,PaperTrail, Amazon S3 (Simple Storage Service)Datadog Can Lead the PackDatadog is currently used by the Operations departments (DevOps and ProdOps) to monitor application performance, create dashboards to analyze the performance in real time when trying to debug issues, and trigger alerts in situations where manual intervention is needed. As a cloud-centric product, Datadog fits well into the organization and has very low operational overhead.,Monitoring application performance Easy to read and modify dashboards Lightweight agent on machines,Speed/performance of monitoring agents (reducing delays) Easier configuration of alerts (including moving averages, etc. so that the math becomes easier) Improved security (custom certificates, pinning, etc.),7,Improved monitoring capability has lead to reduced downtime. Historical performance searching capability has decreased debug times. Graphing options has lead to decreased report generation times.,New Relic APM,Sumo Logic, Terraform, NS1Datadog toolDatadog 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,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,9,It helps in maintaining our service SLA Has been easy on wallet to the company,New Relic APM and Splunk Enterprise,New Relic APM, Splunk Enterprise, Microsoft AzureSimplest UI in monitoring market and tool than enchances constanlty for usersWe are Premium MSP partner for AWS so our DevOps engineers, Managers user them, We also have a product for Cloud Management Platform where we are working on parsing information from Datadog to our SaaS platform to present monitoring data much graphically.,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!,8,Good user managment Monitor to any level Provide good insights to catering customers,Opsview Enterprise and Nagios,Nagios, Splunk Enterprise, Opsview EnterpriseGreat tool in a complex architecture worldDatadog is being used in the whole company to monitor all the instances we have. Used to be in private cloud and now it is used in AWS instances also.,Datadog is great for monitoring CPU, memory and all the resources Combined with New Relic and Opsgenie you have all the alerts you need Datadog has a long time history to compare over time,Sometimes the graphics are a little bit confusing,10,We cannot be so confident in our infrastructure whitout datadog It is very trustworthy Very useful for detecting memory leaks,,OpsGenie, New Relic APM, New Relic Browser, New Relic InsightsWatch and monitor clustered applications easilyIt'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,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.,9,Aggregate info in a way to make quick decisions It makes it easier to watch important metrics from each instance,New Relic and App Dynamic,New Relic APM, AppDynamicsOffers great insight into system and website performanceDatadog provides great visibility into how our server infrastructure is performing. There is support for a huge variety of integrations, pretty much any service you can think of has a supported integration. Our organization uses the dashboard functionality to get a quick view as to the current state of our environment. If there's a server or website issue, everyone hops onto Datadog to get a view as to what's happening.,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.,9,Visibility into website issues and performance problems has improved our company communication. Handling and detecting site issues faster has improved customer satisfaction and retention. Configuration of the Datadog site can take a bit of time and we lost a bit of developer time during that process.,Geckoboard,Slack, Visual Studio IDE, GitHubAll the DevOpsy thingsDatadog 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,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,10,Helps prevent losses by monitoring real time traffic on our live services. Helps keep our infrastructure running with a high uptime Helps employees balance their work-life by integration with alerting tools like PagerDuty,Zabbix, Nagios and Icinga,PagerDuty, Ansible, AWS Elastic BeanstalkGood solution for cloud monitoringWe 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.,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.,8,All positive. A great tool that fits our needs in the cloud. The alters and metrics are very useful to react before our customer can sense any issue.,AppDynamics, zabbix and New Relic,Docker, Puppet Data Center Automation, JenkinsDatadog - A good solution.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.,Centralized data. Quick easy graphs. Customization.,Many other products out there like it. Not as dynamic as some other open source tools. Pricey compared to open source tools.,5,Not [having] to manage your own infrastructure. Costly. One stop shop to your data.,Cacti, Grafana and Graphite,Sumo Logic, VictorOps, Google Domains
Windows, Linux, Mac, Debian, Ubuntu, CentOS/RedHat, Fedora, CoreOS, Docker, Kubernetes, Openshift, SmartOS, Chef, Puppet, Ansible
Datadog
53 Ratings
Score 8.4 out of 101
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Datadog Reviews

Datadog
53 Ratings
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Score 8.4 out of 101

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No photo available
Score 9 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

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.
Read this authenticated review
No photo available
Score 10 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

We had very complex monitoring requirements for APIs related to IoT and mobile app users. There were several different tools, no reliable results and we were losing credibility in the stability and reliability of our infrastructure. Also, all tools were very difficult to manage, implement and support, not to mention expensive.
Read this authenticated review
Anthony Zappala profile photo
November 23, 2018

DataDog at Wayfair!

Score 9 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

DataDog is currently being used by Wayfair's Monitoring, Network Ops, and Critical Incident teams to provide a variety of data to provision, manage and maintain the existing infrastructure for internal and external sites and applications. It is a critical input to how these teams identify, tag, and respond to alerts within the company. We use Datadog for the current day to day provisioning tasks and well as prior/after any maintenance.

It has a key plug-in with ServiceNow and this is a key integration at Wayfair. ServiceNow is used as the reporting platform to store and index all DataDog alerting. Further, we have built several notification systems to piggy back off DataDog alerts for clear and wide-spread notifications to all stakeholders of a particular stack of technology.

The visuals and simple interface provides a clean and ready-made application in which to address the business and technical needs, for a rapidly evolving infrastructure. Wayfair has a tremendous amount of growth and we rely on this tool to grow and adapt alongside us. The Platform as a Service approach has proven to provide what we need, without the dependencies to support the infrastructure, which is a big bonus for our teams.
Read Anthony Zappala's full review
Gabriel Samaroo profile photo
Score 9 out of 10
Vetted Review
Verified User
Review Source

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.
Read Gabriel Samaroo's full review
No photo available
March 09, 2019

Datadog Review

Score 8 out of 10
Vetted Review
Verified User
Review Source

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.
Read this authenticated review
Stephen Groat profile photo
September 25, 2018

Datadog Can Lead the Pack

Score 7 out of 10
Vetted Review
Verified User
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Use Cases and Deployment Scope

Datadog is currently used by the Operations departments (DevOps and ProdOps) to monitor application performance, create dashboards to analyze the performance in real time when trying to debug issues, and trigger alerts in situations where manual intervention is needed. As a cloud-centric product, Datadog fits well into the organization and has very low operational overhead.
Read Stephen Groat's full review
Rahul Narula profile photo
August 04, 2018

Datadog tool

Score 9 out of 10
Vetted Review
Verified User
Review Source

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
Read Rahul Narula's full review
Girivaru Tarun profile photo
Score 8 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

We are Premium MSP partner for AWS so our DevOps engineers, Managers user them, We also have a product for Cloud Management Platform where we are working on parsing information from Datadog to our SaaS platform to present monitoring data much graphically.
Read Girivaru Tarun's full review
No photo available
Score 9 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

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.
Read this authenticated review
Kevin Van Heusen profile photo
Score 9 out of 10
Vetted Review
Verified User
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Use Cases and Deployment Scope

Datadog provides great visibility into how our server infrastructure is performing. There is support for a huge variety of integrations, pretty much any service you can think of has a supported integration. Our organization uses the dashboard functionality to get a quick view as to the current state of our environment. If there's a server or website issue, everyone hops onto Datadog to get a view as to what's happening.
Read Kevin Van Heusen's full review
Deepshikha Gandhi profile photo
February 15, 2017

All the DevOpsy things

Score 10 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

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.
Read Deepshikha Gandhi's full review
No photo available
Score 8 out of 10
Vetted Review
Verified User
Review Source

Use Cases and Deployment Scope

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.
Read this authenticated review
No photo available
Score 5 out of 10
Vetted Review
Verified User
Review Source

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.
Read this authenticated review

About Datadog

Datadog is a performance metrics and events monitoring service for IT and Dev/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 a unified view of IT infrastructure. With 120+ turn-key integrations (including AWS, Docker, Chef, and PagerDuty), Datadog seamlessly aggregates metrics and events across the full DevOps stack. Datadog's capabilities are provided on a SaaS-based data analytics platform that enables multiple teams to work collaboratively on infrastructure issues.

Datadog Features

Has featureReal-time customizable dashboards
Has featureGet alerted on critical issues
Has featureGet a single view into on-premise and clouds
Has feature120+ turn-key integrations
Has featureSlice and dice graphs and alerts by tags, roles, and more
Has featureSampling intervals of 10 seconds
Has featureFree trial, no credit card needed
Has featureFull API access in more than 15 languages
Has featureOverlay metrics and events across disparate sources
Has featureOutlier detection for hosts behaving abnormally

Datadog Screenshots

Datadog Integrations

Amazon Web Services, Docker, CacheFly CDN, MongoDB, PagerDuty, Bitbucket, Slack, HipChat, Cassandra, Microsoft IIS, PostgreSQL, MySQL, OpenShift, VictorOps, Splunk Enterprise, Ubuntu OpenStack, Pingdom, Hadoop, Microsoft Azure, GitHub, OpsGenie, HAProxy, CentOS, Puppet Labs, StatsD, Google Cloud Platform, GoLang, ActiveMQ, Apache, Node.js, Python, Java, Ruby, CoreOS, debian, kafka

Datadog Competitors

TrueSight Pulse, SolarWinds AppOptics (formerly Librato), CopperEgg

Pricing

Has featureFree Trial Available?Yes
Has featureFree or Freemium Version Available?Yes
Does not have featurePremium Consulting/Integration Services Available?No
Entry-level set up fee?No
EditionPricing DetailsTerms
FreeUp to 5 hosts
Standard$15/hostUp to 500 hosts
EnterpriseCustom500+ hosts

Datadog Support Options

 Free VersionPaid Version
Live Chat
Email
Forum/Community
FAQ/Knowledgebase
Social Media
Video Tutorials / Webinar
Phone

Datadog Technical Details

Deployment Types:On-premise, SaaS
Operating Systems: Windows, Linux, Mac, Debian, Ubuntu, CentOS/RedHat, Fedora, CoreOS, Docker, Kubernetes, Openshift, SmartOS, Chef, Puppet, Ansible
Mobile Application:No
Supported Languages: English