Snowplow for Google Cloud Platform is here


Since the early days of Snowplow Analytics, we’ve been committed to giving our users very granular, highly structured data because we believe that’s what you need to be truly data driven. Doing awesome things with this data, though, has been historically challenging because of how detailed it is. Thanks to Google, we have a solution to that problem.

Google Cloud Platform (GCP) has grown, over the last ten years, to become one of the largest, most popular cloud offerings. BigQuery, the analytics platform, can handle granular, highly structured data like Snowplow event data and was built to do so at enterprise level, making large-scale analysis lightning-fast. Paired with Tensorflow for machine learning, Cloud Dataflow for streaming, Data Studio for visualization, and a flexible pricing structure, BigQuery makes GCP a formidable player in cloud computing that offers both power and affordability. Our latest release, lets you take full advantage of BigQuery and GCP’s entire suite of data-related tools, all in real-time, with high quality Snowplow data.

The best way to load data into BigQuery

Snowplow plus BigQuery

BigQuery is an elegant data solution and a natural fit for Snowplow data. As a warehouse, BigQuery offers elastic storage and compute, making it both affordable and highly performant to store and query massive amounts of data. This makes BigQuery an ideal warehousing platform for companies with enormous data sets.

Snowplow tech is built to maximize data granularity, richness, and scalability; it’s not uncommon to find our customers tracking well over 100 million events daily. Working with highly detailed data at that scale on other cloud platforms is challenging because joining large volumes of data from multiple sources can make data sets cumbersome and spread them out across multiple tables, slowing down queries. BigQuery has a number of features to address this:

BigQuery plus Snowplow

In addition to unparalleled speed, Snowplow’s enormous (and expanding) collection of integrations and tracking software let you collect data from the tools you use every day, including:



Load all your data into BigQuery with Snowplow

Unifying your data sources together in BigQuery gives you a high quality, structured data set that’s easy to work with. Having that data available in real-time means you can make product and marketing decisions just as fast. And, because it’s part of the Google ecosystem, you can directly import data directly into BigQuery from your marketing tools like Google Ads. This lets you combine your ad data with your rich downstream behavioral data to adjust your marketing budget on the fly, letting you focus on your most important channels. You can even get your Google Analytics data into BigQuery in real-time.

Getting started

BigQuery and the rest of Google’s data tools were built to make working with massive sets of granular, structured data easy, fast, and affordable. Now with Snowplow for GCP, you can make sure you’re loading the highest quality data into BigQuery from the sources you need, in real-time as it should be.

Get in touch with us and start querying with confidence.


Related articles