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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
First cataloged
2026-07-09 (UTC)
Explanation last updated
2026-07-16 (UTC)
Source (GitHub) last updated
2026-08-23 (UTC) (4 days ago)

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

According to the README, it ships 27 skills in total (25 connectors plus one bootstrap helper and one routing skill), while the plugin's own description mentions 18 connector skills covering the same general area. Coverage spans Oracle/OCI systems such as Autonomous Database, Exadata Cloud Service, Fusion ERP, EPM Cloud, and Essbase, external databases like PostgreSQL, MySQL/HeatWave, SQL Server, and Snowflake, SaaS systems such as Salesforce and NetSuite, and cloud storage systems including AWS S3, Azure ADLS Gen2, and Apache Iceberg. Each skill is described as producing plain Python code (Spark JDBC, structured streaming, object-storage paths, or REST calls) that runs directly in a notebook. Live validation was reportedly performed on the workbench's tpcds cluster running Spark 3. 5. 0, with per-connector results tracked in a results file, and the README also documents authentication methods, such as Instance Principal and Resource Principal, that are not supported in the workbench environment.

About the service

Oracle AI Data Platform Workbench, as described on its homepage, is a cloud service for cataloging, ingesting, and analyzing organizational data. It provides the underlying platform for building data analytics pipelines, developing notebooks, running workflows, and working with AI agents and machine learning models.

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

  • Connect Spark notebooks to Oracle Autonomous Database (ALH/ADW/ATP), Exadata Cloud Service, Fusion ERP/BICC, EPM Cloud, Essbase, OCI Streaming, OCI Object Storage, and Apache Iceberg
  • Connect to external relational databases such as PostgreSQL, MySQL/HeatWave, SQL Server, Azure SQL, and Hive
  • Connect (read-only) to SaaS systems such as Salesforce and NetSuite
  • Run a one-time bootstrap skill to set up a workspace and use a routing skill to pick the right connector
  • Get guidance on authentication options including wallet-based mTLS, IAM DB-Token, API keys, HTTP Basic, OAuth, AWS access keys, and Service Principal credentials

Sources

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