Today, we’re launching a new feature that enables customers to easily import Parquet data and export Parquet/CSV data to and from their Neptune Analytics graphs. This new capability simplifies the process of loading Parquet data into Neptune Analytics for graph queries and analysis, while also allowing customers to export graph data as Parquet or CSV files. Exported data can then be moved seamlessly to Neptune DB, data lakes, or ML platforms for further exploration and analysis.
Previously, customers faced challenges with limited integration options, vendor lock-in concerns, cross-platform flexibility, and sharing graph data for collaborative analysis. This new export functionality addresses these pain points by providing a seamless, end-to-end experience. The data extraction occurs from a snapshot, ensuring that database performance remains unaffected. With the ability to import and export graph data via APIs, customers can leverage Neptune Analytics to run graph algorithms, update their graphs, and export the data for use in other databases like Neptune or data processing frameworks like Apache Spark or query services like Amazon Athena. This enhanced flexibility empowers customers to gain deeper insights from their graph data and use it across various tools and environments.
To learn more about Neptune Analytics and native export capability, visit the features page, and user guide.
Source:: Amazon AWS