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 180 of 283 Results

agent-integration

Algorithmia

September 2025

Stream operational and inference-related metrics from Algorithmia's MLOps platform to Datadog for comprehensive monitoring of machine learning models, including detection of model drift, data drift, and model bias.

Algorithmia support@algorithmia.io
https://github.com/DataDog/integrations-extras

agent-integration

Anecdote

September 2025

Anecdote automatically detects customer feedback identified as bugs from sources like app store reviews and support tickets, and sends them directly to Datadog for seamless tracking and response.

Anecdote hello@anec.app
https://anecdoteai.com/

agent-integration

Apache APISIX

September 2025

Cloud

Linux

Integration

Monitor and analyze your Apache APISIX API gateway with Datadog. This integration collects custom metrics from APISIX using the Datadog Agent via the DogStatsD protocol, enabling real-time visibility into traffic management features like load balancing, authentication, circuit breaking, and more.

Community dev@apisix.apache.org
https://github.com/DataDog/integrations-extras

agent-integration

Apollo

September 2025

Caching

Linux

Integration

Forward Apollo Studio GraphQL performance metrics—including operation counts, errors, cache hits, and latency percentiles—to Datadog for advanced monitoring with customizable dashboards and alerts. Metrics are tagged by operation name, graph ID, and variant to enable granular analysis across your services.