BigQuery + Dynatrace, Connected by Neotask

Stream observability telemetry into your data warehouse and unlock AI-powered analysis across your entire infrastructure.

What You Can Automate

Export Dynatrace performance metrics to BigQuery for long-term trend analysis and capacity planning

Correlate infrastructure incidents from Dynatrace with business KPIs stored in BigQuery

Automate SLA compliance reporting by aggregating Dynatrace uptime data in BigQuery on a schedule

Bring Observability and Analytics Together

Modern engineering teams generate enormous volumes of performance data across distributed systems. Dynatrace captures traces, metrics, logs, and user experience data in real time, while BigQuery provides a scalable, serverless data warehouse built for large-scale analysis. Individually, each tool is powerful. Together, they become a unified platform for proactive operations and data-driven decision making.

Neotask bridges these two platforms so your teams can route, transform, and query data without writing custom pipelines or maintaining fragile ETL scripts.

What You Can Do

With Neotask connecting BigQuery and Dynatrace, you can:

• Export Dynatrace metrics and traces to BigQuery on a scheduled or event-driven basis, building a long-term observability archive
• Query historical performance data alongside business metrics already in BigQuery to correlate infrastructure health with revenue or user behavior
• Trigger Dynatrace problem queries from BigQuery-based anomaly detection workflows, closing the loop between analysis and alerting
• Build cross-platform dashboards by feeding enriched BigQuery results back into Dynatrace or BI tools like Looker

Faster Incident Response with Richer Context

When incidents occur, speed and context are everything. By having Dynatrace observability data inside BigQuery, on-call engineers can run ad hoc SQL queries against days or weeks of telemetry without hitting retention limits in Dynatrace itself. This means:

• Identifying recurring patterns that fall outside Dynatrace's default retention window
• Joining infrastructure events with application release history stored in BigQuery
• Building runbooks that automatically pull relevant metrics for a given incident type

Automate Reporting and Compliance Workflows

Many organizations need to produce SLA compliance reports, capacity planning summaries, or audit trails from their observability data. Neotask can automate the export of Dynatrace performance summaries into BigQuery on a recurring schedule, making it straightforward to generate reports without manual data pulls.

• Schedule daily or weekly Dynatrace metric exports
• Maintain a queryable archive for compliance audits
• Combine uptime and latency data with cost and usage data for executive reporting

No Pipelines to Maintain

Neotask handles authentication, data transformation, and scheduling so your team focuses on insights rather than infrastructure. Whether you need a one-time historical export or a continuous streaming workflow, Neotask adapts to your use case without custom code.

Pro Tips

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Unified observability and analytics data in one queryable warehouse

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No custom ETL pipelines to build or maintain

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Faster root cause analysis with extended historical telemetry access

Start automating BigQuery + Dynatrace

Set up in under 2 minutes. No code required.

Plans

Explore Each Integration

• BigQuery
• Dynatrace

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