Global location data
delivered via Snowflake

Embed standardized location data in Snowflake to serve as the backbone for BI models, MDM, and location-based decision logic.

Native Snowflake access

Query authoritative location data directly inside your Snowflake environment.

Reduced data engineering

Eliminate manual ingestion pipelines, and file handling, with automatic updates to ensure data recency.

Aligned with your existing architecture

Keep location data within your Snowflake environment ensuring consistent data governance across your operations.

IMPLEMENTATION GUIDE

Host global location data within Snowflake

An expert will guide you through your Snowflake implementation process. Our step-by-step Snowflake deployment guide makes it simple for your team to integrate GeoPostcodes’ data within your environment.

Why choose GeoPostcodes

Global coverage

Complete coverage across 247 countries, including hard-to-source geographies like China, Japan, Brazil, and Russia.

Highest quality

Built on extensive, authoritative sourcing with robust data engineering and quality control. Standardized and up-to-date.

Expert Consulting

With 15 years of experience, we guide your implementation and deliver data in the format that fits your system.

Trusted by industry leaders

Join more than 100 enterprise clients who trust GeoPostcodes for their location data

GeoPostcodes - Ecotransit logo
“GeoPostcodes’ global ZIP codes allow us to determine distances accurately. Thanks to their up-to-date database, we no longer have problems with missing locations, making our system much more efficient and reliable.”

Anjo Grebe

Consultant

“GeoPostcodes databases provide IATA codes, enhanced UNLOCODEs with port terminal data, addresses, and more – all on a global scale! This level of accuracy is essential for our mileage and CO2 emissions calculation.”
GeoPostcodes - Peter Wild CarbonCare

Dr. Peter Wild

Managing Partner

“GeoPostcodes’ Population data shows population forecasts over the next years. We can use it as a proxy to justify longer-term changes and downgrade postal code areas in terms of economic viability.”

Kousha Mazloumi

Director of Data Science

“The concept of the city receives different names or belongs to different hierarchical levels depending on the country. Using GeoPostcodes’ data gave us access to city definitions aligned with our customers’ expectations, saving us computation time.”

Kousha Mazloumi

Director of Data Science

GeoPostcodes - Logo_DB_Schenker
“The world is constantly changing. New localities and neighborhoods open up or become dispersed. It’s good to know that GeoPostcodes is keeping on top of those changes and providing us with updated information to work with.”
GeoPostcodes-GeoPostcodes-William chao picture

William Chao

Product Owner of Geographic Information Services

GeoPostcodes - Bark Logo
“The key aspect of working with GeoPostcodes has been their ability to provide customized data solutions. Their collaborative approach has made them an excellent partner in addressing our location data challenges.”

Kate Kilby

Senior Product Manager

GeoPostcodes - Opterrix-logo
“GeoPostcodes’ multi-level boundaries were perfectly aligned, enabling seamless integration with multiple secure cloud platforms. Our software can now provide more accurate visualizations for risk analysis and natural hazard monitoring.”

Dave Hamm

Project Manager

“Countries like Brazil or China are particularly strict with their customs validation. GeoPostcodes’ ZIP codes and Enhanced UNLOCODES database are aligned with national regulations, ensuring seamless transportation and compliance.”
GeoPostcodes - Kavian Ranjbar

Kavian Ranjbar

Data Governance Specialist

“If you’ve got a business where locations are a big part of it and you’re looking to avoid the large costs that can be involved in using APIs, GeoPostcodes’ on-premise database is definitely worth considering.”
GeoPostcodes-Nick Baugie

Nick Beaugié

Senior Software Engineer

Frequently Asked Questions

Accessing GeoPostcodes data natively in Snowflake means the datasets are delivered directly inside your Snowflake environment. This removes the need for external APIs or manual file transfers. In practice, your team can query standardized global location data using the same workflows already used for analytics and reporting.

GeoPostcodes provides its core location datasets through Snowflake, including ZIP code data, city data, administrative divisions, boundaries, and population data. These datasets follow a unified global structure across 247 countries. This means your teams can use consistent reference data for business intelligence, master data management, and reporting.

Snowflake integration reduces data engineering effort because GeoPostcodes delivers structured, ready-to-query tables directly into your environment. There is no need to source, normalize, and maintain multiple country-level datasets internally. In other words, your team avoids building and maintaining a global location database in-house.

GeoPostcodes provides always up-to-date datasets curated from authoritative sources. Updates reflect changes in postal codes, administrative divisions, and other reference data. This helps maintain reporting accuracy and operational consistency across regions.

Yes. GeoPostcodes location data in Snowflake supports reporting alignment, territory mapping, and analytics. Because the structure is standardized globally, teams can aggregate data consistently across countries and administrative levels.

Snowflake delivery allows you to manage GeoPostcodes data within your existing governance framework. Your access controls, security policies, and monitoring tools remain in place. This supports compliance requirements while keeping reference data centralized.

Yes. GeoPostcodes covers 247 countries, including hard-to-source geographies such as China, Japan, Brazil, and Russia. The unified structure supports multinational operations that require consistent reference data across regions.

Yes. GeoPostcodes provides enterprise-level expert consulting to guide implementation and ensure the dataset fits your architecture. This support helps teams integrate global location data efficiently within Snowflake.