---
description: Reviews zu Datadog Software: Systemübersicht, Funktionen, Preisinformationen und Ratings & Reviews. Entdecke kostenlose Live-Demos und vergleiche Datadog mit ähnlichen Programmen.
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title: Datadog | Bewertungen, Preise und Demos – SoftwareAdvice DE
---

Breadcrumb: [Startseite](/) > [Programmiersoftware](/directory/4499/app-development/software) > [Datadog](/software/101405/datadog)

# Datadog

Canonical: https://www.softwareadvice.de/software/101405/datadog

Seite: 1 / 16\
Weiter: [Nächste Seite](https://www.softwareadvice.de/software/101405/datadog?page=2)

> Datadog ist ein Netzwerküberwachungstool, mit dem Unternehmen Einblick in die Anwendungsleistung erhalten. Die Software liefert einen Überblick über ein Produkt zu einer einzelnen SQL-Abfrage und korreliert die Anwendungsleistung oder Fehler mit Infrastrukturmetriken und Ereignissen.&#10;Datadog kann helfen, Performance-Engpässe im Code oder in der Infrastruktur zu identifizieren, und überwacht Hosts oder Container. Die Plattform kann automatisch Anfragen über mehrere Bibliotheken und Frameworks hinweg verfolgen und verfügt über Autoinstrumentierung, um Spannen vom Frontend bis zum Backend zu sammeln. Die Plattform sammelt Leistungsdaten von Infrastrukturkomponenten wie Redis und Elasticsearch und bietet Integrationen mit Web-Frameworks wie Django, Ruby on Rails und Gin.&#10;Datadog bietet Echtzeit-Dashboards mit Mix-and-Match-Metriken und -Ereignissen aus verbundenen Apps, Hosts, Containern und Diensten. Nutzer können Ereignismarkierungen zur Korrelationsanalyse auf Diagramme übertragen. Nutzer können auch neue Dashboards mit Drag-and-drop-Diagrammen und anderen Widgets erstellen.&#10;E-Mail- und Chat-Support sind verfügbar. Die Preise gelten pro Host und Monat.
> 
> Bewertung: **4.6/5** von 369 Nutzern. Top bewertet für **Weiterempfehlungsquote**.

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## Kurzstatistiken und Ratings

| Metrik | Bewertung | Detail |
| **Gesamt** | **4.6/5** | 369 Nutzerbewertungen |
| Bedienkomfort | 4.3/5 | Auf Basis der Gesamtbewertungen |
| Kundenbetreuung | 4.3/5 | Auf Basis der Gesamtbewertungen |
| Preis-Leistungs-Verhältnis | 4.1/5 | Auf Basis der Gesamtbewertungen |
| Funktionen | 4.5/5 | Auf Basis der Gesamtbewertungen |
| Empfehlungsprozentsatz | 80% | (8/10 Weiterempfehlungsquote) |

## Über den Anbieter

- **Unternehmen**: Datadog
- **Gegründet**: 2010

## Gewerblicher Kontext

- **Startpreis**: 15,00 $
- **Preismodell**:  (Kostenlose Version verfügbar) (Kostenlose Testversion)
- **Zielgruppe**: Selbstständig, 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+
- **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert, Mac (Desktop), Windows (Desktop), Linux (Desktop), Windows (On-Premise), Linux (On-Premise), Android (mobil), iPhone (mobil), iPad (mobil)
- **Unterstützte Sprachen**: Englisch, Französisch, Portugiesisch, Spanisch
- **Verfügbare Länder**: Australien, Brasilien, Deutschland, Dänemark, Frankreich, Indien, Indonesien, Irland, Israel, Japan, Mexiko, Niederlande, Portugal, Schweden, Singapur, Spanien, Südkorea, Vereinigte Arabische Emirate, Vereinigte Staaten, Vereinigtes Königreich

## Funktionen

- API
- Abfrageanalyse
- Ad-hoc-Berichterstattung
- Aktivitäts-Dashboard
- Aktivitäts-Verfolgung
- Alarmfunktion / Benachrichtigungen
- Alerts/Escalation
- Analyse auf Anwendungsebene
- Analyse von Verlaufstrends
- Analytics
- Anforderungsbasiertes Testen
- Anomalieerkennung
- Anpassbare Berichte
- Anpassbares Dashboard
- Anwendungsmanagement
- Anwendungssicherheit
- Archivierung & Aufbewahrung
- Audit Trail
- Aufgabenmanagement
- Automated Discovery

## Integrationen (31 insgesamt)

- AWS Cloud Development Kit (AWS CDK)
- AWS Lambda
- Amazon EC2
- Amazon EKS
- Amazon Elastic Container Service (Amazon ECS)
- Azure Databricks
- Azure Portal
- Bitbucket
- Claude
- Codex
- Cursor
- Elsevier Pure
- Google Cloud Console
- Google Cloud Storage
- Jam.dev

... und 16 weitere Integrationen

## Optionen für Kundensupport

- E-Mail/Helpdesk
- FAQ/Forum
- Wissensdatenbank
- Telefon-Support
- 24/7 Live-Support
- Chat

## Category

- [Programmiersoftware](https://www.softwareadvice.de/directory/4499/app-development/software)

## Ähnliche Kategorien

- [Observability-Tools](https://www.softwareadvice.de/directory/4534/observability/software)
- [Datenbank-Monitoring-Software](https://www.softwareadvice.de/directory/4333/database-monitoring/software)
- [APM Software (Application Performance Management)](https://www.softwareadvice.de/directory/4140/application-performance-management/software)
- [Website-Monitoring Tools](https://www.softwareadvice.de/directory/4550/website-monitoring/software)
- [Netzwerk Monitoring Tools](https://www.softwareadvice.de/directory/4307/network-monitoring/software)

## Alternativen

1. [Site24x7](https://www.softwareadvice.de/software/360425/site24x7) — 4.7/5 (382 reviews)
2. [Splunk Enterprise](https://www.softwareadvice.de/software/234262/splunk-enterprise) — 4.6/5 (267 reviews)
3. [ManageEngine Log360](https://www.softwareadvice.de/software/435342/manageengine-log360) — 4.7/5 (26 reviews)
4. [LogicMonitor](https://www.softwareadvice.de/software/240623/logicmonitor) — 4.6/5 (119 reviews)
5. [groundcover](https://www.softwareadvice.de/software/438838/groundcover) — 4.7/5 (32 reviews)

## Nutzerbewertungen

### "Powerful Observability Platform with Extensive Integrations" — 5.0/5

> **Swaibu** | *17. August 2026* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10
> 
> **Vorteile**: Datadog provides comprehensive monitoring and observability capabilities with real-time insights, powerful dashboards, and integrations with a wide range of cloud and infrastructure services. Its centralized visibility makes it easier to identify issues and monitor system performance.
> 
> **Nachteile**: The platform can have a steep learning curve, especially for new users. Pricing can also become significant as the number of hosts, logs, metrics, and monitored services increases.
> 
> Datadog has been a powerful observability platform for monitoring infrastructure, applications, logs, and system performance. Its extensive integrations and real-time monitoring capabilities make it useful for identifying issues and understanding system behavior. The platform is feature-rich, although navigating the many features can take time to learn, and costs should be carefully managed as usage grows.

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### "Datadog APM Database Monitoring is a must have if you're a DBRE" — 5.0/5

> **Prateek** | *17. Dezember 2025* | Computer-Software | Empfehlungsbewertung: 10.0/10
> 
> **Vorteile**: I work in Data Reliability and so far the best thing about Datadog has been its APM feature and the Postgres integration. &#10;&#10;I have been able to track issues before they could happen and it had been really useful during incidents
> 
> **Nachteile**: The recent AI recommendations are sometimes not very useful. When a query is slow obviously the first recommendation would be to add indexes. For some reason the AI recommendation system does not check the indexes before recommending.&#10;&#10;To an engineer who doesn't have admin privileges to the Database, these recommendations might sound confusing and they would create tickets which gets marked as Won't Do
> 
> Overall from a DBRE perspective it has hit all the major observability checkpoints that were needed to monitor our databases. &#10;&#10;Time to respond to a database incident has really improved and we have more visibility into the systems

-----

### "Tagging is essential" — 4.0/5

> **Sam** | *11. August 2026* | Bildungsmanagement | Empfehlungsbewertung: 9.0/10
> 
> **Vorteile**: With the correct tagging strategy, datadog becomes very easy to use. This does take some planning is well worth the effort.
> 
> **Nachteile**: Very expensive tool, with new solution costing more and more on top of the standard ingestion costs.

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### "Brings many different monitoring tools into one platform\!" — 5.0/5

> **Edwin** | *29. Juli 2026* | Finanzdienstleistungen | Empfehlungsbewertung: 8.0/10
> 
> **Vorteile**: What I liked most about Datadog is how it brings many different monitoring tools into one platform instead of having separate systems for logs, metrics, traces, and application performance monitoring. The AI-powered features are useful, especially for helping teams identify unusual behavior, detect potential issues faster, and understand large amounts of operational data without manually reviewing everything. The log management capabilities are strong because searching through millions of events is fast and the filtering options make troubleshooting much easier. I also like the dashboard customization because teams can create views based on their own services and business needs. For development teams, Datadog integrates well with cloud platforms, CI/CD pipelines, and modern application stacks. The alerting system helps developers catch problems early before they impact users. Overall, it saves engineering time by providing better visibility into production environments.
> 
> **Nachteile**: The biggest downside of Datadog is the cost, especially for larger organizations that generate a high volume of logs and monitoring data. While the platform provides many valuable features, pricing can become difficult to manage as usage grows. Some advanced features require additional licenses or paid add-ons, which can make budgeting more complicated. The platform also has a learning curve because there are many options available, and new users may need time to understand the best way to configure dashboards, alerts, and log pipelines. Log management can become expensive if teams do not carefully control what data they collect and retain. I also found that troubleshooting some configurations requires reading documentation or contacting support because there are many settings available. A simpler onboarding experience for advanced features would make Datadog easier for new teams.
> 
> My overall experience with Datadog has been positive. It is a powerful observability platform that helps development and operations teams understand what is happening across applications, infrastructure, and services. The combination of logs, metrics, traces, and AI-assisted insights makes it easier to investigate production issues and improve system reliability. I especially appreciate the log search capabilities because finding the root cause of an issue is much faster compared to manually checking multiple systems. The data analysis features help teams identify trends and performance problems before they become major incidents. Datadog also works well in modern software development environments with cloud services and automated deployment pipelines. Customer support and documentation are generally helpful when setting up more complex monitoring scenarios. Although the pricing requires careful planning, the value comes from reducing downtime, improving developer productivity, and giving teams a clearer view of their systems.

-----

### "Looking for a good one stop shop? Go for Datadog" — 4.0/5

> **Tobias** | *17. Dezember 2025* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10
> 
> **Vorteile**: The wide range of services and excellent customer care from customer succes. If you compare it to other competitors, Datadog offers a better one stop show and one single pane of glass
> 
> **Nachteile**: The pricing is quite steep compared to competitors. It’s diffidently not the most cheap product in terms of pricing.
> 
> If you want a solid solution, with constant updates and you have the budget for your all in one Observability platform, go they way with Datadog. You won’t regret it

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Weiter: [Nächste Seite](https://www.softwareadvice.de/software/101405/datadog?page=2)

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