Node.js SDK
Google BigQuery

Integrate your Node.js app with Google BigQuery

Don't go through the pain of direct integration. RudderStack’s Node.js SDK makes it easy to send data from your Node.js app to Google BigQuery and all of your other cloud tools.

Easy Node.js SDK to Google BigQuery integration with RudderStack

RudderStack’s open source Node.js SDK allows you to integrate RudderStack with your your Node.js app to track event data and automatically send it to Google BigQuery. With the RudderStack Node.js SDK, 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 Google BigQuery and RudderStack

Automatic schema creation for behavioral datasets

Simplify your workflow and SQL queries with predefined schemas, automatically created for you in your Google BigQuery warehouse.

Fast Node.js to BigQuery load times

Leverage best in class sync times and load data to Google BigQuery every 30 minutes (or even faster!).

Customize data and loads for BigQuery across multiple databases and schemas

Customize data loads and send data in JSON column format (with custom parameters), without having to manage additional dependencies or npm

Quickly get value out of BigQuery with rich event data

Quickly operationalize a new BigQuery setup or populate your BigQuery client with rich data without having to work directly with the BigQuery API

Frequently Asked Questions

With RudderStack, integration between Node.js SDK and Google BigQuery is simple. Set up a Node.js SDK source and start sending data from your JavaScript-based app or website. Follow the setup tutorial in our docs or check out our code on Github.

Pricing Node.js SDK and Google BigQuery 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 Node.js SDK and Google BigQuery.

Yes, RudderStack streamlines the integration and management of your connection between Node.js SDK & Google BigQuery, but you check out our guide on How to load data from Zendesk Chat to Google BigQuery to learn how to connect the tools manually.

Use the Google BigQuery integration with other popular sources

Use the Node.js SDK integration with other popular destinations

About Google BigQuery

Google BigQuery is an industry-leading fully-managed cloud data warehouse that allows you to store and analyze petabytes of data in no time and leverage Google’s machine learning features. RudderStack lets you add Google BigQuery as a destination where you can send your customer event data and params from the data source of your choice., without the pain of detailed setup or custom pipeline development. Setting up a pipeline to BigQuery cloud storage requires a significant amount of detailed engineering work, dealing with googleapis, config files, commands like createdataset and create table and more. With RudderStack, you simply need to set up a service account for authentication in Google Cloud Platform, ensure your IAM profile has the correct permissions and then specify the required details (like projectid). From there, RudderStack will take care of sending data directly to GCP (google-cloud/bigquery), including metadata, without you having to manage a cloud client library, set up a new git workflow in your command line or spend engineering cycles trying to optimize loads. In fact, with RudderStack’s streaming integrations you can even send data to Google in real-time. If you have multiple databases, RudderStack also allows you to send data to relational databases like PostgreSQL, SQL server, mySQL and more.

About Node.js SDK

RudderStack’s open source Node.js SDK lets you start sending event data from your node code to a wide range of popular marketing, sales, and product tools such as Mixpanel, Google Analytics, and more. Node.js SDK helps use internal queues to ensure that the different calls (identify and track) are non-blocking and fast.