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IPinfo Supercharges Google Cloud: Unlocking Deeper Insights with Advanced IP Data on BigQuery

  • Nishadil
  • August 21, 2025
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  • 2 minutes read
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IPinfo Supercharges Google Cloud: Unlocking Deeper Insights with Advanced IP Data on BigQuery

In a thrilling development for cloud-native businesses and data professionals, IPinfo, a leading provider of IP address data, has significantly deepened its collaboration with Google Cloud. Building on its successful presence in the Google Cloud Marketplace, IPinfo is now bringing an even richer array of its meticulously engineered IP datasets directly to Google BigQuery, empowering users with unprecedented analytical capabilities right where their data resides.

This strategic expansion marks a pivotal moment, as IPinfo introduces its invaluable ASN (Autonomous System Number), Privacy, and Company datasets directly into BigQuery, complementing their already popular IP-to-Country data.

Imagine having immediate access to comprehensive insights about any IP address, seamlessly integrated with your existing data workflows. This isn't just about more data; it's about more intelligent, actionable data, delivered with the speed and scale that only Google BigQuery can offer.

The beauty of this integration lies in its simplicity and power.

Users can now effortlessly enrich their first-party data with precise IP intelligence without complex ETL processes. BigQuery’s robust, scalable infrastructure means you can perform lightning-fast queries across vast datasets, uncovering patterns and drawing conclusions that were previously out of reach.

Let's dive into what these new datasets bring to the table:

  • ASN Data: Gain profound insights into the network behind an IP address.

    Understand the ISP, organization, and geographic routing of traffic. This is critical for network performance monitoring, identifying malicious traffic sources, and targeted threat intelligence.

  • Privacy Data: Unmask anonymity services. Detect VPNs, proxies, Tor exit nodes, and other anonymizers.

    Essential for fraud prevention, ensuring content compliance, and maintaining the integrity of user interactions on your platform.

  • Company Data: Instantly link an IP address to the organization it belongs to. Discover company names, domains, and types (e.g., educational, business, government).

    This data is invaluable for B2B lead enrichment, targeted advertising, and understanding the corporate footprint of your users.

Whether you're battling cyber threats, optimizing marketing campaigns, or striving for regulatory compliance, IPinfo's integrated datasets on BigQuery offer a transformative advantage.

Security teams can detect and block suspicious traffic with greater precision, leveraging detailed network and privacy indicators. Marketing and analytics teams can segment audiences more effectively, understanding the true context of user interactions. Furthermore, businesses can enhance their fraud detection capabilities by identifying and flagging connections from known high-risk IP types.

IPinfo's commitment to data accuracy and engineering excellence shines through this integration.

Each dataset is meticulously curated and frequently updated, ensuring that you're always working with the most reliable IP intelligence available. By engineering their data specifically for cloud environments like Google Cloud, IPinfo ensures optimal performance and seamless compatibility, allowing you to focus on deriving insights, not on data management.

This expanded offering solidifies IPinfo's position as a vital partner for any organization leveraging Google Cloud.

It's an invitation to unlock deeper, more precise insights from your data, fostering a more secure, efficient, and intelligent digital landscape. Explore the new possibilities and transform your data strategy with IPinfo's advanced IP datasets on Google BigQuery today.

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Disclaimer: This article was generated in part using artificial intelligence and may contain errors or omissions. The content is provided for informational purposes only and does not constitute professional advice. We makes no representations or warranties regarding its accuracy, completeness, or reliability. Readers are advised to verify the information independently before relying on