What data you can export from Datadog
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LogsComprehensive application and system log data with event details and error tracking for advanced pattern analysis, troubleshooting intelligence, and operational insights using BigQuery's powerful text analytics capabilities.
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IncidentsDetailed incident records with resolution workflows and impact assessments for enterprise-scale reliability analysis and incident management optimization using BigQuery's advanced analytical and machine learning capabilities.
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UsersTeam access and activity tracking for operational security analysis and collaboration optimization across enterprise monitoring environments using BigQuery's user behavior analytics and security intelligence features.
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Audit logsSecurity compliance data showing configuration changes and access patterns for governance analysis and regulatory reporting using BigQuery's advanced security analytics and compliance tracking capabilities.
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MetricsHigh-volume performance measurements and system telemetry for comprehensive operational analytics and capacity planning using BigQuery's scalable data processing and analytical modeling capabilities.
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Synthetic testsAutomated testing results with performance benchmarks for service quality analysis and user experience optimization using BigQuery's statistical analysis and trend identification capabilities.
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Service level objectivesSLO performance data with achievement tracking and error budget analysis for reliability engineering and stakeholder reporting using BigQuery's advanced analytical and visualization capabilities.
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MonitorsAlert configurations and trigger analysis for monitoring optimization and alert management using BigQuery's pattern recognition and operational intelligence capabilities across enterprise monitoring environments.
All-in-one tool for Datadog data exports and analytics
Load monitoring data into BigQuery and combine with business systems data for massive-scale operational analytics, enabling complex queries across multiple data sources and advanced business intelligence applications.

Structure monitoring metrics in BigQuery's optimized columnar format with proper schema design, partitioning strategies, and clustering for high-performance queries and machine learning applications on large operational datasets.

Ensure BigQuery tables maintain up-to-date operational data with automated pipeline execution from monthly to 15-minute schedules, supporting real-time analytics and batch processing workflows for monitoring operations.

Leverage Coupler.io AI integrations to connect your operational data flows to AI tools. Interact with intelligent analysis through natural language while maintaining the scalability and performance advantages of your data warehouse.





Why export Datadog to BigQuery - real life cases
Scalable monitoring data lake creation
Machine learning for anomaly detection
Operational intelligence
Regulatory compliance and audit analytics
How to export Datadog to BigQuery
Automate data exports with the no-code Datadog BigQuery integration
Connect similar Project Management apps and get data in minutes
Quick start with dashboard templates
about your case. It doesn't cost you a penny 😉
Talk to AI about your Datadog data
Examples of questions you can ask about Datadog data:
- "Analyze incident patterns across all business units and predict next quarter's reliability trends"
- "Identify correlations between deployment patterns and system performance degradation"
- "What's the optimal resource allocation strategy based on historical utilization patterns?"
- "Generate comprehensive operational health scores incorporating all monitoring dimensions"

Keep your data safe
Coupler.io safeguards your shared information and data transfers from breaches, leaks, and unauthorized disclosures.