This section provides guides and references to use the Oracle connector.
Configure and schedule Oracle metadata and profiler workflows from the Collate UI:
- Requirements
- Metadata Ingestion
- Data Profiler
- Data Quality
- Lineage
- dbt Integration
- Troubleshooting
- Reverse Metadata
Requirements
Note: To retrieve metadata from an Oracle database, Collate uses thepython-oracledb library, which provides support for versions 12c, 18c, 19c, and 21c.
To ingest metadata from Oracle, the user must have CREATE SESSION privilege.
SELECT permissions on the tables to include in profiling and data quality checks.
Metadata Ingestion
To ingest metadata from Oracle, you need to create a service connection. The service connects Oracle with Collate. Once you create a service, Collate automatically starts ingesting metadata.Step 1: Add New Service
- In the left navigation, click Connections.
- On the Connections page, click Add New Service.

Step 2: Select a Service and Connector
From the service type dropdown, select Database Services, then click the Oracle connector tile.
Step 3: Add Service Name and Description
- Enter a unique, descriptive Service Name. Collate identifies services by their service name. Enter a name that distinguishes this deployment from other Oracle services you are ingesting metadata from.
- Optional: Enter a Description for the service.

Note: The service name cannot be changed after it is set.
Step 4: Configure Connection Options
Specify where ingestion runs, provide your source credentials, and verify the connection.Select Ingestion Runner
Select an Ingestion Runner: the runner where the ingestion pipeline executes.
Enter Connection Details
Enter the connection details for Oracle. The right-hand panel in the UI displays inline help for each field.
- Username: Specify the User to connect to Oracle. It should have enough privileges to read all the metadata.
- Password: Password to connect to Oracle.
- Host and Port: Enter the fully qualified hostname and port number for your Oracle deployment.
- Database Name: Optional name for the database in Collate. If left blank, Collate uses a default database name. Use the same name as the SID to ensure accurate results and proper identification of tables during profiling, data quality checks, and dbt workflows.
- Oracle Connection Type: Select the Oracle Connection Type. The type can either be
Oracle Service NameorDatabase Schema.- Oracle Service Name: The TNS alias used to connect remotely to the database. Oracle records this service name in
tnsnames.ora. - Database Schema: The name of the database schema available in Oracle to connect with.
- Oracle Service Name: The TNS alias used to connect remotely to the database. Oracle records this service name in
- Oracle instant client directory: The directory pointing to where the
instantclientbinaries for Oracle are located. In the ingestion Docker image, Collate provides them by default at/instantclient. If this parameter is set (it is by default), Collate runs the thick Oracle client. Collate ships instant client version 19 binaries for the AMD64 architecture and the ARM64 architecture. - Use DBA Tables: Enabled by default. When enabled, the connector uses
DBA_TABLESto retrieve metadata for all database objects, which requires DBA-level privileges. Disable it to useALL_TABLES, which only returns metadata for objects accessible to the current user.
Advanced Configuration
Database Services include an Advanced Configuration section for passing extra arguments to the connector and, if needed, changing the connection scheme. This is only required for advanced connectivity scenarios or customizations.- Connection Options (Optional): Enter the details for any additional connection options that can be sent to the database during the connection. These details must be added as key-value pairs.
- Connection Arguments (Optional): Enter the details for any additional connection arguments such as security or protocol configs that can be sent during the connection. These details must be added as key-value pairs.
Test Connection
Once the credentials have been added, click on Test Connection and Save the changes.
Step 5: Configure Ingestion Options
In the What to Ingest step, use filter patterns to control which assets Collate ingests from your database service. Filter patterns use regular expressions applied to asset names.How Filter Patterns Work
- Include: Add one or more comma-separated regular expressions. Collate ingests only assets whose names match at least one expression. Leave blank to include all assets.
- Exclude: Add one or more comma-separated regular expressions. Collate skips any asset whose name matches an expression. Leave blank to exclude nothing.
- contains: matches any name containing the value. For example,
salesmatchesmy_sales_dataandsales_2024. - starts with: matches names beginning with the value. For example,
prod_matchesprod_dbandprod_schema. - ends with: matches names ending with the value. For example,
_rawmatchesevents_rawandlogs_raw. - is exactly: matches the exact name only. For example,
analyticsmatches onlyanalytics. - matches regex: matches names using a regular expression. For example,
^prod_.*_v\d+$matchesprod_events_v1.
Filter Options
The Database, Schema, Table, and Stored Procedure sections each include the following filter options:- Database: Controls which databases Collate ingests from the source.
- Schema: Controls which schemas within the ingested databases are included.
- Table: Controls which tables and views within the ingested schemas are included.
- Stored Procedure: Controls which stored procedures are included in metadata ingestion.
- Scan Mode: Choose one of the following scan modes:
- Scan all: Ingests every asset of that type the connector can access. This is the default.
- Only specific: Enables include rules so only assets matching at least one rule are ingested.
- Exclude system toggle: Use this toggle to automatically filter out system-reserved names defined by the connector—for example, Exclude system databases for the Databases section.
- Always exclude: Add permanent exclusion rules (shown in red). Assets matching these rules are never ingested, regardless of include rules.
- Preview: Shows a real-time summary of what will be in scope based on your current rules.
- Include rules (available only in Only specific mode): Click + Add to define a rule. Added rules appear as chips. An asset is included if it matches any rule.
Step 6: Create & Deploy
Click Create & Deploy to deploy the agent and start the first metadata ingestion run. Collate saves the service configuration and immediately begins pulling metadata from the source. To monitor ingestion progress or view the service you just added, go to Connections in the left navigation and select your service.Configure Metadata Agent and Schedule Ingestion
The Metadata Agent extracts schemas, tables, columns, and other structural metadata from your source and keeps your Collate catalog in sync. It powers discovery, lineage, and governance across your data assets. When you click Create & Deploy, Collate automatically deploys a Metadata Agent for this service and triggers the first ingestion run. View its status and run history from the Agents tab on the service detail page. To configure the additional Metadata Agent and schedule ingestion, follow these steps:- In the left navigation, click Connections and select your service.
- Click the Agents tab.
-
Click Add Agent and select Metadata from the dropdown.
For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
-
On the Configure Ingestion page, do the following and click Next.
-
Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.

-
Agent Setup: Configure core parameters for metadata extraction. The following fields are available:

-
Filter Patterns: Apply include or exclude rules to scope which databases, schemas, tables, and stored procedures this agent ingests. For more information about various filter options, see Step 5: Configure Ingestion Options.

-
Scope & Behaviour: Control how the agent handles metadata during ingestion. Toggle each option on or off based on your needs:
Note: Available toggles vary by connector. Stored procedure options only appear for connectors that support stored procedures.

-
Advanced Config: Optional connector-specific settings such as Include Views and Extract JSON Schema.

-
Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.
-
On the Schedule Interval page, set when the agent runs:
- Schedule: Choose a preset interval (Hourly, Daily, Weekly, Monthly) or enter a custom cron expression.
- On-Demand: No automatic schedule; trigger the agent manually when needed.

- Click Add to deploy the agent.
Reverse Metadata
-
Description Management: Oracle supports description updates at the following levels:
- Table level
- Column level
- Owner Management: Owner management is not supported for Oracle.
- Tag Management: Tag management is not supported for Oracle.
-
Custom SQL Template: Oracle supports custom SQL templates for metadata changes. The template is interpreted using python f-strings.
Here are examples of custom SQL queries for metadata changes:
The list of variables for custom SQL can be found here.
Troubleshooting
Oracle Troubleshooting
Learn more about how to troubleshoot common Oracle connector issues and resolve configuration or ingestion errors.