SingleStore recently announced bi-directional support for Apache Iceberg. Iceberg uses catalogs that are an integral part of the Iceberg table format, designed to manage large-scale tabular data in a more efficient and reliable way. Catalogs store metadata and track the location of tables, enabling data discovery, access, and management. Iceberg supports multiple catalog backends, including Hive Metastore, AWS Glue, and Hadoop, and through a database system using JDBC. This allows users to choose the most suitable backend for their specific data infrastructure. In this short article, we’ll implement an Iceberg catalog using SingleStore and JDBC.

The notebook file used in this article is available on GitHub.