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Part of Google Cloud
Who uses, chose or left BigQuery, quoted from their own engineering posts, each with the link.
8 companies
Especially, BigQuery is a must for mercari, because it is serverless, highly scalable and cost effective. I can't imagine how to manage our structured data without BigQuery.
Mercari on managing data with BigQuery and dbt
2020-12-07·engineering.mercari.com ↗
Our data platform remains in GCP, since BigQuery remains one of the better “serverless” data platforms / warehouses out there
Why Curai Health moved its core stack from Google Cloud to AWS; BigQuery stayed
2022-06-19·curaihealth.com ↗
Several teams at Twitter had already incorporated BigQuery into some of their production pipelines. Leveraging their experience, we began to evaluate BigQuery's capabilities against all Twitter’s use cases. Our goal was to offer BigQuery to the entire company and to standardize and support it within the Data Platform toolkit.
Twitter on rolling out BigQuery company-wide
2019-07-08·blog.twitter.com ↗
BigQuery is the most heavily used Google big data product at Spotify.
Spotify on Scio and BigQuery usage (part 2)
2017-10-23·engineering.atspotify.com ↗
We found BigQuery performance to be orders of magnitude better than Redshift for our use cases.
Omio on moving its data warehouse from Redshift to BigQuery
2020-06-09·engineering.omio.com ↗
While we use Google BigQuery as our cloud provider, our solution is largely provider-agnostic and can be applied to other cloud platforms.
Discord's dbt-at-petabyte-scale post, on BigQuery as its warehouse
2025-04-09·discord.com ↗
To be useful, the raw data must be cleaned, privatized according to our data governance policies, and then transformed into a complex schema of thousands of precomputed tables in our 30+ petabyte data warehouse (we use Google BigQuery ).
How Discord describes its 30+ petabyte BigQuery data warehouse
2021-11-18·discord.com ↗
BigQuery: Although analytical queries are not a large percent of the computation we do at LiveRamp, they serve an important purpose — exposing our log data to Business Intelligence analysts without involving engineers.
LiveRamp on re-engineering around Google Cloud after migrating its big data environment from on-premise
2019-06-12·liveramp.fr ↗
we’re slowly shifting towards replacing HDFS with Cloud Storage , and Hive with BigQuery .
Spotify's event delivery system rebuilt on Google Cloud managed services (part III)
2016-03-10·engineering.atspotify.com ↗
Second, backfilling assets partition-by-partition did not play well with our data warehouse (BigQuery) and led to extremely lengthy backfill times.
Discord on a friction point between Dagster backfills and BigQuery
2024-07-12·discord.com ↗
BigQuery is fully managed by Google Cloud Platform and was already in use at Shopify. We knew we could load our one billion row dataset into BigQuery and export query results into GCS easily. With all of this in mind, we started the exploration but we met an unexpected obstacle: cost.
Shopify on a BigQuery query that nearly cost $1 million a month
2022-11-03·shopify.engineering ↗
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