What you can do with Google BigQuery
Perform high-performance CRUD operations on your relational data
Query and manipulate structured as well as unstructured data without any hassle
Build modern, data-driven applications with support for microservices and many DevOps-friendly tools
Extend the capabilities of PostgreSQL to work with time series data, spatial data, as well as graphs
Read from and write to various external data sources including MongoDB, MySQL, Oracle, Redis, and more
Setting up a BigQuery data warehouse on your own can be quite exhausting and time-consuming. You have to build and maintain the data warehouse from scratch, in addition to defining the schema that determines how the data from the sources gets stored in the warehouse.
By simply connecting BigQuery as a destination in RudderStack, you can get started in no time at all.
How to set up Google the BigQuery Integration
It’s very easy! Use our step-by-step guide to set up BigQuery as a destination in RudderStack, and get started in no time at all.
Collect, Store, and Analyze Your Event Data with Lightning-fast Speed Using RudderStack and Google BigQuery
RudderStack supports sending your event data from a variety of sources to Google BigQuery. Once you add BigQuery as a destination in RudderStack, all your event data is stored into BigQuery buckets periodically. With RudderStack, you don’t have to worry about defining a warehouse schema either – it will take care of everything.
By Integrating BigQuery Support with RudderStack, you can:
- Directly send your event data from a variety of sources, including web and mobile
- Load data into BigQuery without having to define a warehouse schema
- Get the data already transformed and ready for analytics
- Focus solely getting relevant business insights out of your data rather worrying about storing and retrieving it
Crate and Barrel
Head of Engineering at Loveholidays
Head of Data Engineering at Mattermost
Data Engineer at Pachyderm
Crate and Barrel