In August, we expanded our partnership with Google Cloud Platform, bringing IPinfo’s full portfolio of datasets (Lite, Core, Plus, and Custom) directly into BigQuery. The goal was simple: eliminate ETL delays and make IP enrichment instant, secure, and compliant.
In a recent editorial with NextTech Today, I highlighted how fraud detection teams are often fighting their own infrastructure. ETL jobs, sync delays, and regional compliance issues slow detection rates.
“ETL pipelines are an anti-pattern for risk and security use cases. The overhead is significant: storage costs, schema mapping, sync jobs, and ongoing maintenance. Data staleness is a huge challenge. Weekly or monthly file dumps often miss fast-moving realities like IP reassignment or proxy service churn. The need for real-time data streaming is no longer optional in this environment.”
In other words, fraud teams fall behind because their data pipelines do. That’s an issue we address with our Google Cloud Platform integration (and our other integrations).
When we launched in August, we introduced a cloud-native IP intelligence model that keeps data in one place, updates automatically, and scales across global regions.
Customers can use our BigQuery-native datasets to power use cases that once required days of manual effort:
My editorial called out the cost of slow pipelines. Our Google Cloud Platform integration solves it.
By delivering IP intelligence directly inside BigQuery, IPinfo is helping teams detect fraud faster, with fewer false positives and less operational overhead. Learn more about IPinfo datasets in Google Cloud Marketplace.
Ross advises IPinfo on business development strategy. His work ensures that IPinfo data is integrated into all the leading cloud platforms.