About Datadog
Datadog is the 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 our customers' entire technology stack.
Datadog is used by organizations of all sizes and 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.
Pricing starting from:
US$15,00/month
- Free Version
- Free Trial
- Subscription
Top 5 alternatives to Datadog
Key benefits of Datadog
- Correlate metrics from all your apps, tools, SaaS and cloud providers & services including Amazon EC2, web servers, StatsD, SQL and NoSQL databases
- Easily graph, alert, and analyze your mass of data with real-time dashboards in seconds, not minutes
- Rank and filter performance metrics so you can focus on those that matter
- Get alerted only on critical issues using any metric, for a single host or for an entire cluster
- Zero in on the right code changes, relevant config updates or scheduled jobs
- Support team collaboration with change and comment annotations in-context of your production data
- No-hassle monthly pricing - no long-term commitments, just pay by the month
Typical Customers
- Freelancers
- Small Businesses (2-50)
- Mid-size Companies (51-500)
- Large enterprises (500 and more)
Deployment
- Cloud-based
- On-premise
Supported Languages
English, Japanese
Pricing starting from:
US$15,00/month
- Free Version
- Free Trial
- Subscription
Top 5 alternatives to Datadog
Images
Features
Total features of Datadog: 113
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Reviews
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Software buyers need your help! Product reviews help the rest of us make great decisions.
- Industry: Information Technology & Services
- Company size: 2-10 Employees
- Used Weekly for 2+ years
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
DataDog is one of our must-haves
Reviewed on 2019/06/06
Pros
It's got everything that's needed for infrastructure and application monitoring and alerting. It also fits extremely well into our Infrastructure-as-Code paradigm where everything we set up is kept in a git repository as a Terraform project. DataDog is what we recommend and implement for our clients, and provides more useful features than Sensu.
Cons
Metrics and monitors don't render correctly on mobile phones. It's totally unusable in portrait mode, and barely usable in landscape mode.
Alternatives Considered
Sensu- Industry: Consumer Services
- Company size: 51-200 Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
DataDog is key component of our engineering stack!
Reviewed on 2022/12/16
Initially we had purchased DataDog to get some basic observability and to lift our logs into a...
Initially we had purchased DataDog to get some basic observability and to lift our logs into a central location. Quickly we began leveraging there additional features to gain deeper insights, better monitoring, and to speed up troubleshooting. DataDog is now a cornerstone of our software stack and everyone from engineers up and into DevOps/SREs use this on a day-to-day basis.
Pros
The software can scale with the business needs. You can start with basic features or leverage many as you like (for $$) to gain deeper insights. Engineers once onboarded use it heavily to spot issues or troubleshoot more obscure bugs both in production and development.
Cons
You often need to review usage and costs. Misconfigurations, migration projects (where legacy + new infrastructures are required), integrations which may cause double reporting need to be observed to prevent run-away spend.
Alternatives Considered
New RelicReasons for Switching to Datadog
We chose DataDog due to extensive feature set and existing product knowledge within the engineering team.- Company size: 201-500 Employees
- Used Daily for 1-5 months
-
Review Source
Overall rating
- Ease of Use
- Likelihood to recommend 6.0 /10
Clound monitoring solution
Reviewed on 2018/02/07
Pros
Datadog is a SaaS monitoring solution, that could be used to monitor different aspects of you IT infrastructure. You can find pre-configured solutions in API marketplace, which probably cover all your needs after some fine tuning, otherwise you can build your own solution. Good and responsing customer support. Stable agents
Cons
Very poor set of solutions for Microsoft Azure monitoring
Very hard for new users, documentation is not very straightforward, so you`ll need to spend a lit of time communicationg with support
- Industry: Information Technology & Services
- Company size: 5 001-10 000 Employees
- Used Daily for 6-12 months
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Best Application Performance Monitoring tool!
Reviewed on 2022/12/16
Datadog helped us solve a critical reliability and traceability problem we had with one of our...
Datadog helped us solve a critical reliability and traceability problem we had with one of our customers. There was not clear visibility into the root cause of an issue when it happens and that caused finger pointing between teams. While there were other monitoring tools being used, they lacked the capabilities that Datadog has which provided much greater visibility and helped us improve the reliability of our system landscape. Onboarding was a breeze and customer service top notch!
Pros
Service Map, Session Replay, Custom metrics and monitors
Cons
We had a sticker shock after onboarding, as the was the hosts were counted for certain infrastructure was not clear from the documentation.
Alternatives Considered
DynatraceReasons for Switching to Datadog
Ease of integration, comprehensive documentation, good community engagement, good customer service, clarity in pricing
- Industry: Real Estate
- Company size: 10 000+ Employees
- Used Daily for 1+ year
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
One Consol for everything related to monitoring
Reviewed on 2022/12/19
Excellent.
Excellent.
Pros
I need not have multiple monitoring solutions for different Applications. So, creating combined Dashboards/Monitors/Alerts is very convenient.
Cons
Pricing is a little on the high end, but it's definitely worth it .
Datadog FAQs
Below are some frequently asked questions for Datadog.Q. What type of pricing plans does Datadog offer?
Datadog offers the following pricing plans:
- Starting from: US$15,00/month
- Pricing model: Free Version, Subscription
- Free Trial: Available
Starts at $15 per host per month. Pay-as-you-go or subscription terms available. Service includes unlimited integrations per monitored host. 14-day free trial included in all plans. All plans include custom metrics and events. Pro plans include 13 months data retention, metric alerts, and email support.
Q. Who are the typical users of Datadog?
Datadog has the following typical customers:
Self Employed, 2-10, 11-50, 51-200, 201-500, 501-1 000, 1 001-5 000
Q. What languages does Datadog support?
Datadog supports the following languages:
English, Japanese
Q. Does Datadog support mobile devices?
Datadog supports the following devices:
Android (Mobile), iPhone (Mobile), iPad (Mobile)
Q. What other apps does Datadog integrate with?
Datadog integrates with the following applications:
ASP.NET Zero, AWS CloudTrail, AWS IoT Analytics, AWS Lambda, AWS Step Functions, AWS X-Ray, Adobe Experience Manager, Aerospike, Airbrake, Alcide, Algorithmia, Alibaba Cloud, Amazon Cloud Search, Amazon CloudFront, Amazon Cognito, Amazon DocumentDB, Amazon DynamoDB, Amazon EC2, Amazon EC2 Spot, Amazon ElastiCache, Amazon RDS, Amazon Redshift, Amazon Rekognition, Amazon S3, Amazon Simple Email Service, Amazon WorkSpaces, Amazon X-Ray, Amixr, Apache Cassandra, Apache CouchDB, Apache Hive, Apache Ignite, Apache Kafka, Apache Solr, Apache Tomcat, Apigee Edge, Auth0, Azure Active Directory, Azure Application Gateway, Azure Cosmos DB, Azure DevOps Server, Azure Firewall, Azure Key Vault, Azure Machine Learning, BigPanda, Bitbucket, Blue Matador, Bonsai.io, Botprise, Buddy, BugSnag, CA Flowdock, Cacti, Campfire, Catchpoint, Chatwork, Chef Enterprise Automation Stack, Cilium, CircleCI, Cisco Meraki, Cloud Foundry, CloudCheckr, CloudHealth Automation, Cloudability, Cloudflare, CockroachDB, ConfigCat, Confluent Platform, Couchbase Server, Databricks, Desk.com, DingTalk, Docker, Elastic Stack, Fairwinds Insights, Fastly, Flagsmith, Git, GitHub, GitLab, Google Cloud, Google Cloud IoT, Google Cloud Load Balancer, Google Hangouts, Google Workspace, HashiCorp Consul, Hazelcast, HipChat, HiveMQ, IBM Db2, IBM WebSphere Application Server, JBoss EAP, Jenkins, Jira, Kong Konnect, Lacework, LaunchDarkly, Lightbend, Logz.io, MapR, MarkLogic, Microsoft 365, Microsoft Azure, Microsoft SQL Server, Microsoft Teams, MongoDB, Moogsoft, Moxo, MuleSoft Composer, MySQL, NGINX Plus, Nagios Core, Nagios Log Server, Nagios Network Analyzer, Nagios XI, Neo4j Graph Database, Neustar UltraDNS, New Relic, Nextcloud, Okta, OpenShift, OpenStack, OpsGenie, Oracle Cloud Infrastructure (OCI), PagerDuty, Papertrail, PerimeterX, Pingdom, Pivotal Tracker, PostgreSQL, Postman, Prometheus, Puppet Enterprise, RBLTracker, Redis Enterprise, RethinkDB, Retool, Riak, Rigor, Rollbar, Rookout, SAP HANA, SAP HANA Cloud, SIGNL4, ScyllaDB, Segment, Sentry, ServiceNow, Slack, Sleuth, Snowflake, Snyk, SonarQube, Split, Splunk Cloud, Splunk Enterprise, Splunk On-Call, Squadcast, Statsig, Statuspage, Sumo Logic, Syslog-ng, TeamCity, Tenable.io, Terraform, Traefik, Travis CI, TriggerMesh, Twistlock, Ubuntu Server GUI, Uptime Cloud Monitoring, Varnish Enterprise, Vault, Vertica, VoltDB, Zabbix, Zendesk Suite, concourse, iLert, mParticle, mPulse, vSphere, xMatters
Q. What level of support does Datadog offer?
Datadog offers the following support options:
Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, Chat
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