Explore Integrations, Libraries, and More

Discover community-driven integrations, libraries, and resources to extend Datadog across your stack. Filter by platform, data type, use case, and more.

Showing 30 of 78 Results

agent-integration

April 2026

AI/ML

Integration

Monitor the reliability and cost of your Databricks environment.

Datadog help@datadoghq.com
https://www.datadoghq.com

agent-integration

May 2026

Caching

Linux

Integration

Collects detailed metrics from Apache Druid clusters, including query performance, ingestion rates, task statuses, segment statistics, and coordinator health, to monitor and optimize data processing and cluster operations.

Datadog help@datadoghq.com
https://www.datadoghq.com

agent-integration

October 2025

Caching

Linux

Integration

Collects real-time metrics from EventStore, including queue monitoring and detailed stats from configurable API endpoints such as stats, node info, projections, subscriptions, and cluster gossip.

Community help@datadoghq.com
https://github.com/DataDog/integrations-extras

agent-integration

May 2026

Containers

Linux

Integration

Integrate ProphetStor Federator.ai to enable AI-driven workload prediction, resource optimization, and cost analysis for Kubernetes and VM clusters.

ProphetStor support@prophetstor.com
https://github.com/DataDog/integrations-extras

agent-integration

October 2025

Monitor your machine learning model performance with the Fiddler integration for Datadog. Receive real-time alerts on critical metrics such as accuracy, traffic, and drift, and leverage out-of-the-box dashboards to analyze inference data and identify issues impacting your models.