Supported Authentication Types:
- Basic Auth: Username and password authentication
- IAM Auth: AWS IAM-based authentication with automatic temporary credential retrieval (supports both Provisioned Clusters and Serverless Workgroups)
- Requirements
- Metadata Ingestion
- Query Usage
- Data Profiler
- Data Quality
- Lineage
- dbt Integration
- Enable Security
- Troubleshooting
Requirements
Before configuring the Redshift connector, make sure the following requirements are in place.Metadata
Redshift user must grantSELECT privilege on table SVV_TABLE_INFO to fetch the metadata of tables and views. For more information visit here.
The Redshift connector supports both Amazon Redshift Provisioned (cluster) and Amazon Redshift Serverless starting from release 1.11.5. The connector automatically detects the deployment type during ingestion and uses the appropriate system views for query and lineage extraction. No additional configuration changes are required.
Profiler & Data Quality
Executing the profiler workflow or data quality tests will require the user to haveSELECT permission on the tables/schemas where the profiler/tests will be executed. The user should also be allowed to view information in SVV_TABLE_INFO for all objects in the database. For system-level profiling metrics on Provisioned Clusters, the user also needs:
Usage & Lineage
For the usage and lineage workflow, the user will needSELECT privilege on the following system tables:
For Provisioned Clusters:
Stored Procedures
For stored procedure lineage extraction, the user needsSELECT privilege on:
For Provisioned Clusters:
IAM Authentication
To use IAM authentication instead of basic username/password, ensure the IAM role or user has the following permissions: For Provisioned Clusters:The connector automatically detects whether your Redshift endpoint is Provisioned or Serverless based on the hostname pattern and uses the appropriate API for credential retrieval.
Metadata Ingestion
To ingest metadata from Redshift, you need to create a service connection. The service connects Redshift with OpenMetadata. Once you create a service, OpenMetadata automatically starts ingesting metadata.Step 1: Add New Service
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Navigate to Settings > Services.

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Click Add New Service.

Step 2: Select a Service and Connector
From the service type dropdown, select Database Services, then click the Redshift connector tile.
Step 3: Add Service Name and Description
- Enter a unique, descriptive Service Name. OpenMetadata identifies services by their service name. Enter a name that distinguishes this deployment from other Redshift 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 your source credentials and verify the connection.Enter Connection Details
Enter the connection details for Redshift. The right-hand panel in the UI displays inline help for each field.
- Username: Specify the User to connect to Redshift. It should have enough privileges to read all the metadata.
- Auth Type: Choose the authentication method:
- Basic Auth: Use username and password for authentication.
- Password: Password to connect to Redshift.
- IAM Auth: Use AWS IAM for authentication. This retrieves temporary credentials automatically.
- AWS Region: AWS region where your Redshift cluster/workgroup is located (for example,
us-east-1). - AWS Access Key ID (Optional): Access key for the IAM user/role. If not provided, the connector uses the default AWS credentials chain (environment variables, instance profile, and so on).
- AWS Secret Access Key (Optional): Secret key corresponding to the Access Key ID.
- AWS Session Token (Optional): Session token for temporary credentials.
- Assume Role ARN (Optional): ARN of a role to assume for cross-account access.
- Assume Role Session Name (Optional): Session name when assuming a role.
- AWS Region: AWS region where your Redshift cluster/workgroup is located (for example,
- Basic Auth: Use username and password for authentication.
- Database: The database of the data source is an optional parameter, if you would like to restrict the metadata reading to a single database. If left blank, OpenMetadata ingestion attempts to scan all the databases.
SSL Configuration
In order to integrate SSL in the Metadata Ingestion Config, the user will have to add the SSL config under connectionArguments which is placed in the source.SSL Modes
There are a couple of types of SSL modes that Redshift supports which can be added to ConnectionArguments, they are as follows:- disable: SSL is disabled and the connection is not encrypted.
- allow: SSL is used if the server requires it.
- prefer: SSL is used if the server supports it. Amazon Redshift supports SSL, so SSL is used when you set sslmode to prefer.
- require: SSL is required.
- verify-ca: SSL must be used and the server certificate must be verified.
- verify-full: SSL must be used. The server certificate must be verified and the server hostname must match the hostname attribute on the certificate. For more information, you can visit Redshift SSL documentation
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.
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 OpenMetadata 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. OpenMetadata 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. OpenMetadata 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.
- Database: Controls which databases OpenMetadata 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: 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.
Step 6: Create & Deploy
Click Create & Deploy to deploy the agent and start the first metadata ingestion run. OpenMetadata 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 Settings > Services 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 OpenMetadata catalog in sync. It powers discovery, lineage, and governance across your data assets. When you click Create & Deploy, OpenMetadata 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:-
Navigate to Settings > Services and select the service type.

- Click the service you have added.
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Select the Agents tab and click Add Agent > Metadata.
For some services, the dropdown is not available and clicking Add Agent takes you directly to the agent configuration page.
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On the Configure Ingestion page, do the following and click Next.
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Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.

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

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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 6: Configure Ingestion Options.

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

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

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Name this Ingestion: Enter a unique recognizable name for this ingestion pipeline.
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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.
Securing Redshift Connection with SSL in OpenMetadata
To establish secure connections between OpenMetadata and a Redshift database, you can configure SSL using different SSL modes provided by Redshift, each offering varying levels of security. UnderAdvanced Config, specify the SSL mode appropriate for your connection, such as prefer, verify-ca, allow, and others. After selecting the SSL mode, provide the CA certificate used for SSL validation (caCertificate). Note that Redshift requires only the CA certificate for SSL validation.

Related
Usage Workflow
Learn more about how to configure the Usage Workflow to ingest Query information from the UI.
Lineage Workflow
Learn more about how to configure the Lineage from the UI.
Profiler Workflow
Learn more about how to configure the Data Profiler from the UI.
Data Quality Workflow
Learn more about how to configure the Data Quality tests from the UI.
dbt Integration
Learn more about how to ingest dbt models’ definitions and their lineage.