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 114 of 126 Results

agent-integration

Superwise

Incidents
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Linux
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Integration

Superwise is an advanced model observability platform designed to monitor machine learning models in production. This integration provides real-time tracking of model performance, data drift, and operational metrics, enabling users to detect issues, ensure model reliability, and maintain compliance throughout the model lifecycle.

  • Superwise support@superwise.ai

    https://github.com/DataDog/integrations-extras

agent-integration

Teradata

Caching
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Linux
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Integration

Track key performance metrics, disk usage, and resource consumption for your Teradata database to ensure optimal health and efficiency.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com

agent-integration

TokuMX

Caching
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Linux
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Integration

Collects TokuMX database metrics such as operation counters, replication lag, cache table utilization, and storage size. Note: This integration is only compatible with Python 2 and Agent versions up to 7.37.

  • Datadog help@datadoghq.com

    https://www.datadoghq.com