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oracle-ai-data-platform-workbench-spark-connectors Claude Code Plugin

Author
Oracle
Category
Development
Topics
Data Engineering & Analytics · Databases & Storage · Enterprise Business Platforms
License
MIT(opens in a new tab)
Version
0.7.0
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-10-16 (UTC)
Source (GitHub) last updated
2026-10-21 (UTC) (14 days ago)

The explanation below is AI-generated. Please verify it against the sources.

According to the README, it ships 26 connector skills plus a bootstrap skill and a routing skill (28 total), while the plugin's own description states 18 connector skills; the sources do not agree on the exact count, so the precise total is unknown. Covered sources include the Oracle Autonomous Database family, Exadata Cloud Service, Fusion ERP/BICC, EPM Cloud Planning, Essbase, OCI Streaming, OCI Object Storage, Apache Iceberg, and external systems such as PostgreSQL, MySQL, SQL Server, Db2, Hive, Snowflake, Salesforce, NetSuite, Azure ADLS Gen2, Amazon S3, generic REST APIs, custom JDBC drivers, and Excel files. Each skill is described as producing ready-to-use Spark code (JDBC, REST, streaming, or object-storage access) for pasting into a notebook cell, along with guidance on authentication options and known limitations. Per the README, the connectors were live-tested against a workbench cluster, with 17 of 21 tested rows passing and the remainder marked as usable as-is.

About the service

Per the homepage source, Oracle AI Data Platform is a cloud service that supports cataloging, ingesting, and analyzing organizational data, and provides the platform and framework for building data pipelines. This plugin operates within that service's Workbench notebooks and, according to the README, also reaches out to a range of external data platforms and SaaS products, including Snowflake, Salesforce, NetSuite, and cloud object storage services such as Azure ADLS Gen2 and Amazon S3.

What you can do with oracle-ai-data-platform-workbench-spark-connectors

  • Run a one-time bootstrap setup that uploads helper code into the Oracle AI Data Platform Workbench workspace
  • Generate Spark JDBC code for Oracle Autonomous Database (ALH/ADW/ATP), Exadata Cloud Service, PostgreSQL, MySQL/HeatWave, SQL Server, Db2, and Hive
  • Generate REST-to-DataFrame code for Fusion ERP, Fusion BICC, EPM Cloud Planning, and Essbase
  • Set up OCI Streaming (Kafka) ingestion using Spark structured streaming
  • Access OCI Object Storage and Apache Iceberg tables from Spark
  • Connect to Salesforce and NetSuite in read-only mode
  • Connect to Snowflake (read-only), Azure ADLS Gen2, and Amazon S3
  • Use a generic REST connector or custom JDBC driver for sources not covered by a dedicated skill
  • Read Excel files stored in workspace volumes or object storage
  • Reference known authentication constraints and gotchas (e.g., unsupported Instance/Resource Principal auth) surfaced by each skill

Sources

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