
Über Datadog
Anders als herkömmliche Überwachungsprodukte konzentriert sich Datadog auf die Darstellung einer integrierten Sicht der Tools und Services, die von IT-Teams für Entwicklung und Betrieb verwendet werden, und liefert relevanten Teammitgliedern die richtigen Einblicke. Zusätzlich zu den sofort einsatzbereiten Funktionen ist Datadog in der Lage, Daten von anderen Anwendungen, Cloud-Providern und spezialisierten Managementtools zusammenzufassen und den gesamten Lebenszyklus von der Codeänderung über die Bereitstellung bis hin zur Überwachung mit einem konsistenten Datenmodell und einer End-to-End-Erfahrung abzudecken.
Preisoptionen ab:
15,00 $/Monat
- Kostenlose Version
- Gratis Testen
- Abonnement
Typische Kunden
- Freie Mitarbeiter
- Kleine Unternehmen (2–50)
- Mittelgroße Unternehmen (51–500)
- Großunternehmen (500 und mehr)
Bereitstellung
- Cloudbasiert
- On-Premise (vor Ort)
Unterstützte Sprachen
Englisch, Japanisch
Preisoptionen ab:
15,00 $/Monat
- Kostenlose Version
- Gratis Testen
- Abonnement
Bilder









Funktionen
Gesamtzahl der Funktionen von Datadog: 121
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Nutzerbewertungen
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- Branche: Einzelhandel
- Unternehmensgröße: 201–500 Mitarbeiter
- Täglich für Mehr als 1 Jahr genutzt
-
Quelle der Bewertung
Gesamtbewertung
- Preis-Leistungs-Verhältnis
- Bedienkomfort
- Kundenbetreuung
- Weiterempfehlungsquote 8.0 /10
Great platform for logs analysis and cloud monitoring
Bewertet am 20.9.2019
Choosing to use Datadog made my work so much easier to accomplish. The logs analysis is one of the...
Choosing to use Datadog made my work so much easier to accomplish. The logs analysis is one of the best thing that I can have in order to monitor my projects performance and health. This tool performs well and it is really useful. Real time logging works well. Definitely a must have.
Vorteile
I think that the best features that Datadog has is that you can track and follow logs in real time, something really important to have if your project is live. I like the idea of creating custom views of sets of logs (with custom filters, data parsing and a lot more) and that you can share them with your team.
Nachteile
It is a bit complicated to set for the first time. Is not quite easy to use or know at first about all the available features that Datadog has. Interface is tricky and can be a blocker sometimes. Following that, if your fields are not mapped in the right way, filters are not that useful.
- Branche: Immobilien
- Unternehmensgröße: 501–1.000 Mitarbeiter
- Täglich für 1-5 Monate genutzt
-
Quelle der Bewertung
Gesamtbewertung
- Preis-Leistungs-Verhältnis
- Bedienkomfort
- Kundenbetreuung
- Weiterempfehlungsquote 8.0 /10
Analytics tool which helps customers and users always get the product you want them to get
Bewertet am 13.8.2019
Overall, having Datadog monitor our apps' performance and customers/users' pain points is invaluable...
Overall, having Datadog monitor our apps' performance and customers/users' pain points is invaluable. It's an amazing tool which lets us identify bottlenecks and better serve our users. Although the initial learning curve of utilizing Datadog's plethora of data analytics tools is steep, it's well worth the effort and price as there is much value to the metrics Datadog provides.
Vorteile
Datadog is probably one of the most notable analytics tool out there for large companies. It's easy to track users' flow in terms of what routes they're hitting, when they hit a snag and 404, or other metrics like how performant certain requests are which allows us to identify bottlenecks and get rid of them immediately.
Nachteile
There is a steep learning curve I will say with this software and needs an expert to help lead tutorials or sessions to get the ball rolling with new tool users. Although there are many built in functionalities and easily customizable features, it can be overwhelming and hard to pinpoint exactly what type of analytics you're looking for. It's one of those softwares where you have to play around with it to get the stars to align and find a model or metric that works best for your customers and use cases.
In Betracht gezogene Alternativen
Google Analytics 360Gründe für den Wechsel zu Datadog
Datadog seemed to be more data intensive and specifically geared towards products like ours which really relied on app throughput, performance, and availability. Getting our product straight to the user, in a quick and efficient manner, is our priority and Datadog helps clear any blockers or issues that gets in the way of that.- Branche: Computer-Software
- Unternehmensgröße: 51–200 Mitarbeiter
- Wöchentlich für 6-12 Monate genutzt
-
Quelle der Bewertung
Gesamtbewertung
- Preis-Leistungs-Verhältnis
- Bedienkomfort
- Kundenbetreuung
- Weiterempfehlungsquote 2.0 /10
It looks very sleek but default integrations won't show you much, so a lot of customization...
Bewertet am 21.9.2017
It allowed us to jumpstart our monitoring.
But in the end we had to switch to a different SaaS...
It allowed us to jumpstart our monitoring.
But in the end we had to switch to a different SaaS provider, even though it costs little bit more, and it's not so well known and widely marketized.
Vorteile
I liked it very much. So nice to have that event stream and subscriptions. And it's very easy to share your findings with colleagues.
Nachteile
Default setup is just empty.
These plugins they list as available will give you only so very basic info, that it's totally worthless.
We had to write our own plugins for each and every service and part of our system.
And the support team ignored my questions regarding future improvements in Kubernetes plugin.
- Branche: Automotive
- Unternehmensgröße: 501–1.000 Mitarbeiter
- Wöchentlich für Mehr als 1 Jahr genutzt
-
Quelle der Bewertung
Gesamtbewertung
- Bedienkomfort
- Weiterempfehlungsquote 7.0 /10
Datadog review
Bewertet am 28.8.2023
Overall very positive. It's a great space for SEOs and Engineers to share when trying to tackle...
Overall very positive. It's a great space for SEOs and Engineers to share when trying to tackle things like Core Web Vitals
Vorteile
I like the ease of tracking our RUM and Core Web Vitals in the report view Datadog have put together by default
Nachteile
Hard to make out the data when looking at heatmaps - although we don't use it much because the sessions recorded are so low compared to the traffic we get it makes the data invalid
- Branche: Computer-Software
- Unternehmensgröße: 1.001–5.000 Mitarbeiter
- Täglich für Mehr als 1 Jahr genutzt
-
Quelle der Bewertung
Gesamtbewertung
- Preis-Leistungs-Verhältnis
- Bedienkomfort
- Kundenbetreuung
- Weiterempfehlungsquote 8.0 /10
Datadog Review
Bewertet am 2.10.2019
Overall it's great monitoring/visualizing tool for any organization and I'd recommend, it would...
Overall it's great monitoring/visualizing tool for any organization and I'd recommend, it would have been great if it had great learning resources to explore it more.
Vorteile
- The filter functionality is great which lets you filter out errors for quick analysis, can easily create custom dashboards.
- Great Visualizations, easy to set up dashboards/monitors with options do maths like ratios, rates, average, interval.
- It can be easily integrated with other apps like Slack to set alerts for failed jobs.
-
Nachteile
- A slow learning curve, lack of resources on how to get useful functionality from UI or APIs.
- UI sometimes be bit slower although not bad if you've integrated with multiple external apps.
Datadog Häufig gestellte Fragen
Weiter unter folgen häufig gestellte Fragen über Datadog.F. Welche Preispläne bietet Datadog an?
Datadog bietet folgende Kostenpläne an:
- Ab: 15,00 $/Monat
- Preismodell: Kostenlose Version, Abonnement
- Gratis Testen: Verfügbar
F. Wer sind die typischen Nutzer von Datadog?
Datadog hat die folgenden typischen Kunden:
Selbstständig, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000
F: Welche Sprachen werden von Datadog unterstützt?
Datadog unterstützt die folgenden Sprachen:
Englisch, Japanisch
F. Unterstützt Datadog mobile Geräte?
Datadog unterstützt die folgenden Geräte:
Android (mobil), iPhone (mobil), iPad (mobil)
F. Mit welchen anderen Applikationen integriert Datadog?
Datadog kann in folgende Anwendungen integriert werden:
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, 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, Flowdock, 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, Volt Active Data, Zabbix, Zendesk Suite, concourse, iLert, mParticle, mPulse, vSphere, xMatters
F. Welche Varianten der Kundenbetreuung bietet Datadog an?
Datadog bietet folgende Optionen für Kundensupport:
E-Mail/Helpdesk, FAQ/Forum, Wissensdatenbank, Telefon-Support, Chat
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