Integrate Jekyll with Google BigQuery
Don't go through the pain of direct integration. RudderStack’s Jekyll integration makes it easy to send data from Jekyll to Google BigQuery and all of your other cloud tools.With Rudderstack, integration between Jekyll and Google BigQuery is simple. Set up a Jekyll source and start sending data.
Pricing Jekyll 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 Jekyll and Google BigQuery.
Yes, RudderStack streamlines the integration and management of your connection between Jekyll & Google BigQuery, but you check out our guide on How to load data from Mixpanel to Google BigQuery to learn how to connect the tools manually.
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.