Presto allows you to query table formats like Hudi, Delta and Iceberg using connectors. The same setup will work for OneTable synced tables as well. For more information and requ...
Creating your first interoperable table Using Apache XTable™ (Incubating) to sync your source tables in different target format involves running sync on your current dataset usi...
Syncing to Hive Metastore This document walks through the steps to register an Apache XTable™ (Incubating) synced table on Hive Metastore (HMS). Pre-requisites Source table(s) ...
Querying from Microsoft Fabric This guide offers a short tutorial on how to query Apache Iceberg and Apache Hudi tables in Microsoft Fabric utilizing the translation capabilities...
To read a OneTable synced target table (regardless of the table format) in Amazon Athena, you can create the table either by: Using a DDL statement as mentioned in the following...
Syncing to Unity Catalog This document walks through the steps to register an Apache XTable™ (Incubating) synced Delta table in Unity Catalog on Databricks and open-source Unity C...
Syncing to BigLake Metastore This document walks through the steps to register an Apache XTable™ (Incubating) synced Iceberg table in BigLake Metastore on GCP. Pre-requisites S...
Syncing to Glue Data Catalog This document walks through the steps to register an Apache XTable™ (Incubating) synced table in Glue Data Catalog on AWS. Pre-requisites Source ta...
Features and Limitations Features Apache XTable™ (Incubating) provides users with the ability to translate metadata from one table format to another. Apache XTable™ (Incubatin...
Querying from Apache Spark To read an Apache XTable™ (Incubating) synced target table (regardless of the table format) in Apache Spark locally or on services like Amazon EMR, Goog...