Connect Datadog to BigQuery

Use the Windsor.ai no-code connector to automatically sync Datadog with BigQuery and visualize your infrastructure monitoring data for actionable insights. This tool requires no maintenance and extracts data from Datadog in less than five minutes, enabling you to focus on analyzing and optimizing your infrastructure performance.

Connect Datadog to BigQuery

Why do I need Datadog and BigQuery integration?

Integrating Datadog with BigQuery offers several benefits, including:

 

Better insights into infrastructure performance

Datadog provides detailed data on system metrics, application performance, and log data across your entire infrastructure stack. When you automatically sync this data with BigQuery, you get to have a dedicated platform with advanced analytics features that can help you:

  • Identify performance bottlenecks, anomalies, and areas that need optimization.
  • Effortlessly analyze long-term resource utilization trends.
  • Track service level objectives (SLOs) and optimize infrastructure costs based on usage patterns.

 

Improved incident analysis

If you manage multiple services or applications on Datadog, you can utilize BigQuery’s processing power to attain detailed insights into incident patterns, security anomalies, and system behavior. With this information at hand, you will have a valuable troubleshooting tool that helps you understand and prevent future incidents.

 

Safer and cheaper data storage

By connecting Datadog to BigQuery through Windsor.ai, you get access to Google’s enterprise-grade security and cost-effective storage solutions. This eliminates the need to maintain expensive local databases or worry about log retention limits. With BigQuery’s pricing model, you only pay for the data you actually query, making it a cost-effective solution.

 

Comprehensive infrastructure visibility

You can combine Datadog metrics with operational data from other sources in BigQuery to gain a complete view of your infrastructure. This way, you can create unified reports that compare performance across different services and cloud environments and make better and faster data-driven infrastructure decisions.

How to connect Datadog to BigQuery

1. Register

Register or login if you already have an account.

2. Select your source

You need to select Datadog as a Data Source and Grant Access to Windsor.ai.

 

Source Datadog

 

 

 

3. Select Destination
Choose BigQuery as the destination.

select bigquery


4. Create a destination task
Click the Add Destination Task Button and fill out the necessary fields.

 

Bigquery destination task

5. Sync your Data
In the final step, grant access to the user: [email protected]. That’s all!
Once you go through these steps, you will see that the data is automatically populated into your BigQuery account.

 

*Note: As a connector URL, you can use any URL providing a JSON. Either from the connectors or for example a URL with cached and transformed data.

FAQs

What is Datadog?

Datadog is a monitoring and analytics platform that provides real-time visibility into your entire technology stack. It combines infrastructure monitoring, application performance monitoring (APM), log management, and user experience monitoring in a single platform, making it essential for modern DevOps teams.

What is BigQuery?

BigQuery is an enterprise data warehouse designed for users who need to constantly analyze large quantities of data as soon as they are received. This fully managed service is offered as part of Google’s cloud infrastructure and is built to support ultra-fast SQL queries, besides providing advanced ML and BI functionalities.

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