Google BigQuery
New Relic
Integrate your Google BigQuery Data Warehouse with New Relic
Don't go through the pain of direct integration. RudderStack’s Reverse ETL connection makes it easy to send data from your Google BigQuery Data Warehouse to New Relic and all of your other cloud tools.
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Easy Google BigQuery to New Relic integration with RudderStackRudderStack’s open source Reverse ETL connection allows you to integrate RudderStack with your your Google BigQuery Data Warehouse to track event data and automatically send it to New Relic. With the RudderStack Reverse ETL connection, you do not have to worry about having to learn, test, implement or deal with changes in a new API and multiple endpoints every time someone asks for a new integration.Popular ways to use New Relic and RudderStack
Simplify implementationAdd New Relic to your app without any custom code.
Track usersAutomatically send user and account data and user actions to New Relic.
Integrate multiple sourcesEasily send data from multiple sources to New Relic to give your product and engineering team better context.
Frequently Asked Questions

With Rudderstack, integration between Google BigQuery source and New Relic is simple. Set up a Google BigQuery source source and start sending data.

Pricing Google BigQuery source and New Relic can vary based on the way they charge. Check out our pricing page for more info. Or give us a try for FREE.

Timing can vary based on your tech stack and the complexity of your data needs for Google BigQuery source and New Relic.

Yes, RudderStack streamlines the integration and management of your connection between Google BigQuery & New Relic, but you check out our guide on How to Access and Query Your Google BigQuery Data Using Python and R to learn how to connect the tools manually.

Use the New Relic integration with other popular sources
Use the Google BigQuery integration with other popular destinations
About New Relic

New Relic is a popular cloud-based observability platform that allows companies and application owners to track the performance of their software (APM). It allows you to instrument, analyze, troubleshoot, and optimize your entire application stack through a single platform. With New Relic, you can also collect all your application’s telemetry data and apply AI-driven insights to deliver a scalable, reliable, and ready-to-market application.

Implementing New Relic along with all of your other SDKs can take a lot of work (dealing with new relic agent, agent configuration, node.js agent, newrelic.js, environment variables, config files, npm, etc.), all to do performance monitoring.

With RudderStack, you can automatically send data from your JavaSCript apps (including node.js applications) and all you need is a New Relic account and New Relic License Key—no custom instrumentation needed.

RudderStack sends JSON payloads directly, so your team using New Relic can analyze data flowing directly to the New Relic UI. You can monitor application performance and send rich metadata (including application name or app_name, hostname, etc.) with events. RudderStack can also route a copy of the data to your warehouse (i.e., AWS Redshift, Snowflake, etc.) where you can use SQL or Python to perform even deeper analysis (all without painful data exports!).

About Google BigQuery

Google BigQuery is a fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time. It is serverless, highly scalable, and cost-effective and is designed for businesses to analyze massive datasets and make informed business decisions. Google BigQuery also allows running complex analytical SQL-based queries using built-in machine learning capabilities.