From ef97d182364daea2d023f2ae5a934ebae2fe07e8 Mon Sep 17 00:00:00 2001 From: Alex Miller Date: Thu, 7 May 2026 23:36:34 -0700 Subject: [PATCH] Add Oracle as an Iceberg vendor --- site/docs/vendors.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/site/docs/vendors.md b/site/docs/vendors.md index 4260553e96cd..c1ca0e7eb23d 100644 --- a/site/docs/vendors.md +++ b/site/docs/vendors.md @@ -141,6 +141,10 @@ IOMETE is a fully-managed ready to use, batteries included Data Platform. IOMETE ### [Microsoft OneLake](https://learn.microsoft.com/en-us/fabric/onelake/) [Microsoft OneLake](https://learn.microsoft.com/en-us/fabric/onelake/) is a single unified data lake that brings together your entire data estate into an open, secure foundation for analytics across the organization. Built into Microsoft Fabric, OneLake delivers two powerful APIs: the Tables API and the Files API. The [OneLake Tables API](https://aka.ms/onelakeircdocs) supports the Apache Iceberg REST Catalog (IRC) specification, making it simple to create, manage, and integrate Iceberg tables with existing tools and workflows. The OneLake Files API offers full Azure Data Lake Storage (ADLS) compatibility, enabling seamless file operations and interoperability with familiar ADLS tools. Together, these APIs make OneLake a truly open and interoperable data lake, delivering flexibility and connectivity for modern analytics and AI-driven pipelines. +### [Oracle](https://oracle.com/) + +Oracle [Autonomous AI Lakehouse](https://www.oracle.com/autonomous-database/autonomous-ai-lakehouse/) combines the openness of Apache Iceberg with the performance, automation, and security of Oracle Autonomous Database and Exadata. Available across Oracle Cloud Infrastructure (OCI), Microsoft Azure, Google Cloud, and AWS, Oracle provides a multicloud, open lakehouse architecture with high-performance access to Iceberg tables through integration with existing catalogs and support for the Apache Iceberg REST Catalog specification. Oracle enables interoperability across engines such as Apache Spark, Trino, and Apache Flink while minimizing data movement and preserving vendor independence. Built-in AI, vector search, graph analytics, and JSON-relational capabilities allow organizations to run advanced analytics and AI workloads directly on Iceberg data with enterprise-grade governance, availability, and serverless scalability. + ### [PuppyGraph](https://puppygraph.com) PuppyGraph is a cloud-native graph analytics engine that enables users to query one or more relational data stores as a unified graph model. This eliminates the overhead of deploying and maintaining a siloed graph database system, with no ETL required. [PuppyGraph’s native Apache Iceberg integration](https://docs.puppygraph.com/user-manual/getting-started/iceberg) adds native graph capabilities to your existing data lake in an easy and performant way.