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This section provides guides and references to use the Oracle connector. Configure and schedule Oracle metadata and profiler workflows from the Collate UI:

Requirements

Note: To retrieve metadata from an Oracle database, we use the python-oracledb library, which provides support for versions 12c, 18c, 19c, and 21c. To ingest metadata from oracle user must have CREATE SESSION privilege for the user.
If you don’t want to create a role, and directly give permissions to the user, you can take a look at an example given below.
Note: With just these permissions, your user should be able to ingest the metadata, but not the Profiler & Data Quality, you should grant SELECT permissions to the tables you are interested in for the Profiler & Data Quality features to work.
You can find further information here. Note that there is no routine out of the box in Oracle to grant SELECT to a full schema.

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

  1. In the left navigation, click Connections.
  2. On the Connections page, click Add New Service.
Add New Service

Step 2: Select a Service and Connector

From the service type dropdown, select Database Services, then click the Oracle connector tile. Select Service

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.
Add New Service Name
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 will execute. Add Name and Select Ingestion Runner

Enter Connection Details

Enter the connection details for Oracle. The right-hand panel in the UI displays inline help for each field. Configure Service Connection
  • 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 in the Host and Port field.
  • Database Name: Optional name to give to the database in Collate. If left blank, we will use default as the database name. It is recommended to use the database name same as the SID, This ensures accurate results and proper identification of tables during profiling, data quality checks and dbt workflow.
  • Oracle Connection Type: Select the Oracle Connection Type. The type can either be Oracle Service Name or Database Schema
    • Oracle Service Name: The Oracle Service name is the TNS alias that you give when you remotely connect to your database and this Service name is recorded in tnsnames.
    • Database Schema: The name of the database schema available in Oracle that you want to connect with.
  • Oracle instant client directory: The directory pointing to where the instantclient binaries for Oracle are located. In the ingestion Docker image we provide them by default at /instantclient. If this parameter is informed (it is by default), we will run the thick oracle client. We are shipping the binaries for ARM and AMD architectures from here and here for the instant client version 19.
  • Use DBA Tables: Enabled by default. When enabled, the connector uses DBA_TABLES to retrieve metadata for all database objects, which requires DBA-level privileges. Disable it to use ALL_TABLES, which only returns metadata for objects accessible to the current user.

Advanced Configuration

Database Services have an Advanced Configuration section, where you can pass extra arguments to the connector and, if needed, change the connection Scheme. This would only be required to handle advanced connectivity scenarios or customizations.
  • Connection Options (Optional): Enter the details for any additional connection options that can be sent to 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.
Tip: When using a Hybrid Ingestion Runner, any sensitive credential fields—such as passwords, API keys, or private keys—must reference secrets using the following format:
This applies only to fields marked as secrets in the connection form (these typically mask input and show a visibility toggle icon). For more information about managing secrets in hybrid setups, see the Hybrid Ingestion Runner Secret Management Guide

Test Connection

Once the credentials have been added, click on Test Connection and Save the changes. Test Connection

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.
Rules match asset names using one of five expressions:
  • contains: matches any name containing the value. For example, sales matches my_sales_data and sales_2024.
  • starts with: matches names beginning with the value. For example, prod_ matches prod_db and prod_schema.
  • ends with: matches names ending with the value. For example, _raw matches events_raw and logs_raw.
  • is exactly: matches the exact name only. For example, analytics matches only analytics.
  • matches regex: matches names using a regular expression. For example, ^prod_.*_v\d+$ matches prod_events_v1.
When both Include and Exclude are set, Exclude takes priority.
Tip: Leave all filter patterns empty to ingest all databases, schemas, and tables available in the source.
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.
Each section provides the following controls:
  • Scan Mode: You can choose between 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.
Tip: If AutoPilot is enabled, usage tracking, data lineage, and other downstream workflows start automatically after the first metadata ingestion completes.

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:
  1. In the left navigation, click Connections and select your service.
  2. Click the Agents tab.
  3. Click Add Agent and select Metadata from the dropdown. Add Metadata Agent For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
  4. On the Configure Ingestion page, do the following and click Next.
    • Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline. Name this Ingestion
    • Agent Setup: Configure core parameters for metadata extraction. The following fields are available: Agent Setup
    • 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. Filter Patterns
    • 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.
      Scope & Behaviour
    • Advanced Config: Optional connector-specific settings such as Include Views and Extract JSON Schema. Advanced Config
  5. 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.
    Schedule Interval
  6. 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.
For more information about reverse metadata ingestion, see Reverse Metadata Application.

Troubleshooting

Oracle Troubleshooting

Learn more about how to troubleshoot common Oracle connector issues and resolve configuration or ingestion errors.