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 Mid-sized Companies (51-1,000 employees).
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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
(1-11 of 11)Companies can't remove reviews or game the system. Here's why
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.
- 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.
December 07, 2020
Datadog is a great monitoring tool!
Datadog is used by couple of departments within the organization. We are using it to monitor our infrastructure such as the servers, containers, processes, storage health as well as to load and look into the metrics.
- 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.
November 21, 2020
Great product, kinda expensive
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).
- Visualization
- Network mapping
- Error finding
- Navigation to new areas can be counterintuitive.
November 12, 2019
A must-have for any cloud-based software company that will scale with your monitoring needs
We use Datadog to monitor all kinds of application metrics: errors, network stats, response times, queues, and a bunch of application-specific metrics. We also have alerts set up that notify us of changes in production application performance. We also get a lot of metrics "for free" from all kinds of third-party tools (e.g. ElasticSearch, GitHub, Heroku, Cloudflare, etc).
- 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.
October 17, 2019
Data Dog Wins at Monitoring and Alerting
Our IT department uses Data Dog to monitor critical server uptime as well as switches and routers over SNMP. We also use the Data Dog API to write critical events for alerting and monitoring. We don’t currently use the application monitoring features, but I could see us using them in the future.
- Price.
- Functionality/extensibility.
- Support.
- Community.
- Documentation is lacking in some places.
- Some features could be easier to set-up.
- Favors customization over simplicity.
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
March 09, 2019
Datadog Review
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.
- 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.
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.
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.
- 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!
April 13, 2018
Watch and monitor clustered applications easily
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.
- 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.
May 10, 2016
Datadog - 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.