Datadog Database Monitoring Adds Deep Cluster- and Query-Level Visibility for MongoDB
Datadog has expanded its Database Monitoring product to include MongoDB support, now covering the five most popular database types including Postgres, MySQL, SQL Server, and Oracle. The solution enables teams to troubleshoot and optimize database performance by providing comprehensive visibility into database clusters, query metrics, and application performance.
The platform helps teams ensure high database availability, optimize query performance, and resolve issues faster through integrated monitoring capabilities. Teams can track critical metrics like queries per second, replication details, and latency while receiving proactive recommendations for optimization.
Datadog ha ampliato il suo prodotto di Monitoraggio dei Database per includere il supporto per MongoDB, coprendo ora i cinque tipi di database più popolari, tra cui Postgres, MySQL, SQL Server e Oracle. La soluzione consente ai team di risolvere problemi e ottimizzare le prestazioni del database fornendo una visibilità completa sui cluster di database, sulle metriche delle query e sulle prestazioni dell'applicazione.
La piattaforma aiuta i team a garantire un'alta disponibilità del database, ottimizzare le prestazioni delle query e risolvere i problemi più rapidamente attraverso capacità di monitoraggio integrate. I team possono monitorare metriche critiche come le query al secondo, i dettagli della replica e la latenza, ricevendo al contempo raccomandazioni proattive per l'ottimizzazione.
Datadog ha ampliado su producto de Monitoreo de Bases de Datos para incluir soporte para MongoDB, abarcando ahora los cinco tipos de bases de datos más populares, incluyendo Postgres, MySQL, SQL Server y Oracle. La solución permite a los equipos resolver problemas y optimizar el rendimiento de la base de datos al proporcionar visibilidad completa sobre los clústeres de bases de datos, métricas de consultas y rendimiento de aplicaciones.
La plataforma ayuda a los equipos a garantizar una alta disponibilidad de la base de datos, optimizar el rendimiento de las consultas y resolver problemas más rápidamente a través de capacidades de monitoreo integradas. Los equipos pueden rastrear métricas críticas como consultas por segundo, detalles de replicación y latencia, mientras reciben recomendaciones proactivas para la optimización.
Datadog는 MongoDB 지원을 포함하도록 데이터베이스 모니터링 제품을 확장하여 현재 Postgres, MySQL, SQL Server 및 Oracle을 포함하여 가장 인기 있는 다섯 가지 데이터베이스 유형을 모두 다루고 있습니다. 이 솔루션은 팀이 데이터베이스 클러스터, 쿼리 메트릭 및 애플리케이션 성능에 대한 포괄적인 가시성을 제공함으로써 문제를 해결하고 데이터베이스 성능을 최적화하는 데 도움을 줍니다.
이 플랫폼은 팀이 높은 데이터베이스 가용성을 보장하고 쿼리 성능을 최적화하며 통합 모니터링 기능을 통해 문제를 더 빠르게 해결할 수 있도록 도와줍니다. 팀은 초당 쿼리 수, 복제 세부정보 및 대기 시간과 같은 중요한 메트릭을 추적할 수 있으며 최적화를 위한 선제적 권장 사항을 받을 수 있습니다.
Datadog a étendu son produit de Surveillance de Bases de Données pour inclure le support de MongoDB, couvrant désormais les cinq types de bases de données les plus populaires, y compris Postgres, MySQL, SQL Server et Oracle. La solution permet aux équipes de résoudre des problèmes et d'optimiser les performances de la base de données en fournissant une visibilité complète sur les clusters de bases de données, les métriques de requêtes et les performances des applications.
La plateforme aide les équipes à garantir une haute disponibilité des bases de données, à optimiser les performances des requêtes et à résoudre les problèmes plus rapidement grâce à des capacités de surveillance intégrées. Les équipes peuvent suivre des métriques critiques telles que les requêtes par seconde, les détails de réplication et la latence, tout en recevant des recommandations proactives pour l'optimisation.
Datadog hat sein Produkt zur Datenbanküberwachung erweitert, um MongoDB zu unterstützen, und deckt jetzt die fünf beliebtesten Datenbanktypen ab, darunter Postgres, MySQL, SQL Server und Oracle. Die Lösung ermöglicht es Teams, Probleme zu beheben und die Datenbankleistung zu optimieren, indem sie umfassende Einblicke in Datenbankcluster, Abfragekennzahlen und Anwendungsleistung bietet.
Die Plattform hilft Teams, eine hohe Verfügbarkeit der Datenbank sicherzustellen, die Abfrageleistung zu optimieren und Probleme schneller zu lösen, indem integrierte Überwachungsfunktionen genutzt werden. Teams können kritische Kennzahlen wie Abfragen pro Sekunde, Replikationsdetails und Latenz überwachen und erhalten proaktive Empfehlungen zur Optimierung.
- Expanded product offering to cover all five major database types
- Enhanced capability to monitor and optimize database performance
- Integration of database and application performance monitoring in a unified platform
- None.
Insights
The addition of MongoDB support to Datadog's Database Monitoring platform represents a significant enhancement to their product offering. This expansion makes DDOG the only major observability platform providing comprehensive monitoring for all five leading database types, creating a strong competitive advantage.
The technical implications are substantial - unified database and application monitoring can dramatically reduce Mean Time To Resolution (MTTR) for performance issues. This integration addresses a critical pain point in DevOps workflows where separate tools for database and application monitoring often lead to inefficient troubleshooting.
For investors, this positions DDOG to capture more market share in the
Datadog Database Monitoring provides deep and dedicated observability for the five most popular database types
Traditional monitoring tools typically only allow organizations to monitor either their databases or their applications. This can lead to slow and costly troubleshooting that results in frustration from database and application teams, extended downtime and a degraded customer experience. Datadog Database Monitoring enables application developers and database administrators to troubleshoot and optimize inefficient queries across database environments. With it, teams can easily understand database load, pinpoint long-running and blocking queries, drill into precise execution details and optimize query performance to help prevent incidents and spiraling database costs.
"Replication failures or misconfigurations can result in significant downtime and data inconsistencies for companies, which may impact their application performance and reliability. That's why maintaining high availability across clusters with multiple nodes and replicas is critical," said Omri Sass, Director of Product Management at Datadog. "With support for the top five database types in the industry, Datadog Database Monitoring gives teams complete visibility into their databases, queries and clusters so that they can maintain performant databases and tie them to the health of their applications and success of their businesses."
Datadog Database Monitoring helps teams:
- Ensure high availability of databases: By providing a comprehensive list of database clusters alongside critical metrics like queries per second, reads and writes per second and replication details, teams can monitor overall cluster performance at a glance, detect potential issues early and take preventative measures.
- Optimize query and database performance: Teams track key query performance metrics—like latency, execution time and volume of data queried—to quickly detect long-running transactions, high-impact blockers and missing indices while receiving proactive recommendations to fix these issues.
- Resolve database and application issues faster: By integrating database monitoring and application performance monitoring, Datadog's unified platform correlates health metrics and distributed traces with query metrics and explain plans in one view in order to accelerate root cause analysis of high latency, leading to faster triage and resolution of issues.
MongoDB is the world's leading modern document database provider. MongoDB's document model streamlines the process of building data-driven applications with a developer-friendly query language and a flexible data model that is easy to work with and easy to scale. The newly added support for MongoDB by Datadog Database Monitoring makes it easier for joint customers to maximize performance by optimizing deployment and infrastructure allocation, for example, by analyzing resource usage and overlapping workloads to make the most of available resources.
"As enterprises take advantage of today's increasingly data-intensive workloads, it's critical that they have the tools needed to deploy high-performing applications with complete confidence," said Will Winn, Senior Director of Partners at MongoDB. "Customers trust MongoDB for its superior performance and flexibility, and now that Datadog Database Monitoring supports MongoDB, ensuring high availability and seamless performance of MongoDB database clusters is even easier."
Datadog Database Monitoring's support for MongoDB is now generally available. To learn more, please visit: https://www.datadoghq.com/blog/mongodb-database-monitoring/.
About Datadog
Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our 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.
Forward-Looking Statements
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Contact
Dan Haggerty
press@datadoghq.com
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SOURCE Datadog, Inc.
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