Exasol Extension Catalog Skill

Last reviewed: 2026-08-12.

Use this skill to discover or compare Exasol capability families. It helps the user choose a tool, extension, connector, integration, or architecture pattern; it is not an alternate execution guide for workflows that already have a dedicated skill.

If the request asks to execute, configure, or troubleshoot a dedicated workflow such as Text AI, Transformers, Cloud Storage Extension, native import/export, JDBC or document virtual schemas, adapter development, BucketFS, UDF/SLC, distributed ML, notebook-connector setup, or Exasol Personal setup, use that specialized skill. Keep comparison and selection requests in this catalog even when they name one or more of those options, then hand off after the choice.

The catalog organizes Exasol capabilities into six categories:

• DEPLOY: provision, install, package, configure, schedule, and operate Exasol.
• LOAD: ingest, import, federate, stream, move, or query external data.
• EXPLORE: inspect schemas, query data, use notebooks, BI tools, catalogs, and agentic query interfaces.
• ENRICH: add AI, ML, UDFs, text processing, semantic interpretation, agents, and custom computation.
• SURFACE: expose Exasol to humans, applications, BI, APIs, low-code tools, and agents.
• SCALE: improve scale-out, performance, reliability, governance, observability, testing, repeatability, and enterprise operations.

Important Use Rules

1. Prefer official Exasol docs or GitHub repositories when giving installation or configuration instructions.
2. Distinguish between Exasol-owned or Exasol-maintained tools, Exasol Labs/community tools, and third-party ecosystem integrations.
3. For customer-facing recommendations, state support level when known. If support level is not explicit in the reference, verify the linked source before presenting it as supported.
4. For current versions, latest releases, security status, or support status, check the linked source before answering.
5. For destructive operations, deployment changes, credential management, RBAC, Terraform, or agent automation, include safety and rollback guidance.
6. For agentic workflows, prefer governed patterns: MCP Server, Agent Control Plane, semantic layer, SQL guardrails, audit logs, and least-privilege credentials.

Category Selection

The trigger phrases below choose a reference file within this catalog; they do not decide that this skill runs. That decision is made by intent: a request to compare options, discover what exists, check support status, or select an architecture belongs here, while a request to execute, configure, or troubleshoot a named product belongs to that product's dedicated skill.

Choose the narrowest matching category and load only the matching reference files. If multiple categories apply, load all relevant references before answering. Once the user chooses a concrete workflow, hand off to its dedicated skill instead of repeating operational instructions here.

1. Run Exasol somewhere or operate deployment tooling

   • Trigger phrases: deploy, install, Exasol SaaS, Exasol Personal, Exasol Local, exasol-local-vm, STACKIT, Docker DB, Terraform, OpenTofu, Ansible, scheduler, public keys, artifact verification, Extension Manager
   • Load: references/deploy.md

2. Bring data into Exasol or query data elsewhere

   • Trigger phrases: load, ingest, import, federate, Virtual Schema, Databricks, SAP HANA, Snowflake, Oracle, PostgreSQL, Kafka, Kinesis, Spark, Glue, Azure Data Factory, migration, driver, ODBC, JDBC, PyExasol
   • Load: references/load.md

3. Understand data or query it interactively

   • Trigger phrases: explore, MCP, Text-to-SQL, VS Code, AI Lab, Notebook Connector, SQL client, catalog, semantic layer, metadata
   • Load: references/explore.md

4. Add AI, ML, UDFs, text analytics, or agents

   • Trigger phrases: AI, ML, transformers, sentiment, entity extraction, SageMaker, MLflow, model UDF, foundation model, Agent Control Plane, Rust UDF, Metadata Agent
   • Load: references/enrich.md

5. Expose Exasol to apps, BI, APIs, users, or agents

   • Trigger phrases: BI, dashboard, Dash, Plotly, dash-server, Grafana, Tableau, Power BI, Superset, REST API, ERA, Power Apps, low-code, application driver, CData, Denodo, Trino
   • Load: references/surface.md

6. Improve scale, governance, performance, observability, repeatability, or reliability

   • Trigger phrases: scale, performance, governance, RBAC, observability, CloudWatch, telemetry, SBOM, testing, CI, pytest-slc, SLC testing, change management, data protection, warehouse automation
   • Load: references/scale.md

Related Skills

• Use exasol-database for direct SQL, exapump, table design, and query profiling after choosing the relevant tool family.
• Use exasol-import for direct native IMPORT, local CSV or Parquet loading, connection objects for import, and native Parquet loading behavior.
• Use exasol-export for direct native EXPORT, local file export, and connection objects for export.
• Use exasol-cloud-storage-extension for Cloud Storage Extension import/export workflows after choosing that extension family.
• Use exasol-jdbc-virtual-schemas for JDBC/database-source virtual schema usage after choosing that federation family.
• Use exasol-document-virtual-schemas for document-file virtual schema usage (S3, GCS, Azure object storage) after choosing that federation family.
• Use exasol-virtual-schema-adapter-development for custom virtual schema adapter implementation, packaging, and adapter-side debugging after choosing that a maintained adapter is not enough.
• Use exasol-bucketfs for BucketFS file upload, download, list, and delete workflows.
• Use exasol-udfs for UDF and Script Language Container implementation details.
• Use exasol-notebook-connector-config and exasol-notebook-connections for notebook-connector configuration and Python connection helpers.
• Use exasol-itde for notebook-connector's local Docker database lifecycle after choosing that development environment.
• Use exasol-text-ai for Text AI Extension deployment, extraction, and validation.
• Use exasol-transformers for Transformers Extension deployment and inference.
• Use exasol-distributed-ml for in-database model training, inference, GPU, and iterative ML workflows.
• Use exasol-setup-personal for guided Exasol Personal deployment.