IP2Location Adds Support for Parquet Data Format via Python CSV Converter

KUALA LUMPUR, Malaysia - July 2, 2025 - PRLog -- IP2Location, a leading provider of IP geolocation technology, is pleased to announce support for the Parquet data format through its IP2Location Python CSV Converter. This new feature enables users to easily convert existing IP2Location CSV databases into the efficient, columnar Parquet format for optimized performance in big data environments.

The Parquet format is widely adopted by data engineers and analysts due to its superior compression and query performance, especially when handling large datasets in platforms such as Apache Spark, Hive, AWS Athena, and Google BigQuery. With this enhancement, users can now integrate IP2Location data more seamlessly into modern data pipelines.

IP2Location is expanding the flexibility and compatibility of its IP data to better serve users. The addition of Parquet support underscores its continued commitment to meeting the evolving needs of the data science and analytics community.

The IP2Location Python CSV Converter is an open-source tool that facilitates easy transformation of downloaded CSV databases into various formats. With this update, the converter now supports:

• CSV (default)
• Parquet (new)
• SQLite
• and more

Getting Started:
To learn more about how to convert IP2Location databases to Parquet format, visit the official blog post:
👉 New Parquet Conversion in IP2Location Python CSV Converter (https://blog.ip2location.com/knowledge-base/new-parquet-c...)

The updated converter is available on https://github.com/ip2location/ip2location-python-csv-con... and is compatible with all major IP2Location database editions.

About IP2Location

IP2Location is a leading provider of IP geolocation solutions since 2002, serving thousands of businesses worldwide. Its offerings range from free LITE databases to premium datasets and API services, helping organizations make data-driven decisions in cybersecurity, ad targeting, compliance, content personalization, and beyond.