Datadog the best dog for patroling
Datadog served as our end-to-end monitoring solution, covering applications, databases, servers, and more. We extensively utilized …
Starting at $0 Up to 5 hosts
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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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Pricing
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
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
Product Details
- About
- Integrations
- Competitors
- Tech Details
- FAQs
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
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...
 Show More The Service Map automatically decomposes your application into all its services and dependencies so you can visualize your architecture in real time.
Datadog Integrations
- Amazon Web Services
- Mirantis Kubernetes Engine
- Kubernetes
- Microsoft Azure
- Microsoft Entra ID
- Adobe Experience Manager
- Aerospike
- Akamai
- MPulse
- Alibaba Cloud IoT Platform
- Amazon API Gateway
- Amazon Athena
- OpenText Vertica
- Amazon CloudFront
- Amazon CloudSearch
- AWS CloudTrail
- xMatters
- AWS CodeDeploy
- Amazon Cognito
- AWS Database Migration Service
- Amazon DynamoDB
- Amazon EC2 Auto Scaling
- Zendesk Suite
- Apache Hadoop
- AWS CodeBuild
- VNS3
- Splunk On-Call
- AWS Auto Scaling
- HashiCorp Vault
- Twistlock, now Palo Alto Networks Prisma Cloud
- Travis CI
- Apache Tomcat
- TeamCity
- Sumo Logic
- Statuspage
- Stardog
- Apache Spark
- Splunk Cloud
- Microsoft SQL Server
- Squadcast
- Apache Solr
- Slack
- Fastly Next-Gen WAF (powered by Signal Sciences)
- Sentry
- SAP HANA Cloud
- Scylla
- Riak
- Redisâ„¢*
- Redmine
- RabbitMQ
- Prometheus
- PostgreSQL
- Pivotal CRM
- SolarWinds Pingdom
- PaperTrail
- PagerDuty
- OpsGenie
- Mirantis OpenStack for Kubernetes
- Red Hat OpenShift
- New Relic
- NGINX
- MySQL
- MongoDB
- mParticle
- HPE Ezmeral Data Fabric (MapR)
- Logz.io
- Logstash
- Jira Software
- Apache HBase
- Apache Hive
- Apache Cassandra
- Apache CloudStack
- Apache Druid
- HAProxy Community Edition
- Google Cloud Datastore
- Google Cloud Dataflow
- GitLab
- GitHub
- Enterprise Fluentd
- Flowdock
- Apache Flink
- Fastly Edge Cloud Platform
- Amazon Elasticsearch Service
- Elasticsearch
- Apache CouchDB
- Couchbase Server
- Confluent
- ConfigCat
- CockroachDB
- Cloudflare
- Apptio Cloudability
- CircleCI
- Bitbucket
- BigPanda
- Apollo.io
- Red Hat Ansible Automation Platform
- LaunchDarkly
- Opsmatic
- Amazon DocumentDB (with MongoDB compatibility)
- Amazon Elastic Container Service (Amazon ECS)
- StatsD
- Chef
- from Progress
- Squid
- ServiceNow
- Ruby
- Python
- Puppet
- php
- Oracle
- NodeJS
- Nagios
- Linux
- HiveMQ
- Puppet Enterprise (formerly Puppet Data Center Automation)
Datadog Competitors
Datadog Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac, Debian, Ubuntu, CentOS/RedHat, Fedora, CoreOS, Docker, Kubernetes, Openshift, SmartOS, Chef, Puppet, Ansible |
| Mobile Application | Apple iOS, Android |
| Supported Languages | English |
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.
Reviewers rate Support Rating highest, with a score of 8.9.
The most common users of Datadog are from Enterprises (1,001+ employees).
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!
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- Pros
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- Recommendations
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:
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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.
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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.
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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
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September 20, 2019
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
- 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
Easier to set up and integrate with other auxiliary tools. The cost was also a benefit along with self-service capabilities. We could set up Data Dog by ourselves, versus needing to bring additional consulting efforts to setup Dynatrace. Reliability of results (less false alerts and more real alerts when systems were down) were a plus.
February 05, 2019
DataDog: Great Tool for Enterprise Monitoring, Alerts, Metric Aggregation, and Dashboards/Graphs
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.
- 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.
- 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.
Datadog has been harder to setup out-of-the-box compared to its alternatives, although it's graphs and dashboards have been more useful. Other tools handle individual tasks better. For example, Splunk has been the best logging tool I've used, and New Relic is great for CPU and browser monitoring, but DataDog is the best-packaged solution. It has the best pricing model when you have many applications/micro-services and once set up, integrates very easily with other tools.
August 18, 2017
Good solution for cloud monitoring
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.
- 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.
- 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
The pricing, the customer service and it most importantly it does the job we expect.