POST /v1/services/databaseServices

from metadata.sdk import configure
from metadata.sdk.entities import DatabaseServices
from metadata.generated.schema.api.services.createDatabaseService import CreateDatabaseServiceRequest

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

request = CreateDatabaseServiceRequest(
    name="snowflake_prod",
    displayName="Snowflake Production",
    serviceType="Snowflake",
    description="Production Snowflake data warehouse",
    connection={
        "config": {
            "account": "xy12345.us-east-1",
            "username": "ingestion_user",
            "password": "***",
            "warehouse": "COMPUTE_WH",
            "database": "ANALYTICS"
        }
    }
)

service = DatabaseServices.create(request)
print(f"Created: {service.fullyQualifiedName}")

import static org.openmetadata.sdk.fluent.DatabaseServices.*;

DatabaseService service = DatabaseServices.builder()
    .name("snowflake_prod")
    .serviceType("Snowflake")
    .connection(snowflakeConnection()
        .account("xy12345.us-east-1")
        .username("ingestion_user")
        .warehouse("COMPUTE_WH")
        .database("ANALYTICS"))
    .create();

curl -X POST "{base_url}/api/v1/services/databaseServices" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "sample_data",
    "serviceType": "BigQuery",
    "description": "Sample data service for BigQuery",
    "connection": {
      "config": {
        "type": "BigQuery",
        "scheme": "bigquery",
        "hostPort": "bigquery.googleapis.com",
        "taxonomyLocation": "us",
        "usageLocation": "us",
        "supportsMetadataExtraction": true,
        "supportsUsageExtraction": true,
        "supportsLineageExtraction": true,
        "supportsDBTExtraction": true,
        "supportsProfiler": true,
        "supportsQueryComment": true
      }
    }
  }'

{
  "id": "fd2193af-fe09-4366-92b7-1e0d01cd8c09",
  "name": "sample_data",
  "fullyQualifiedName": "sample_data",
  "serviceType": "BigQuery",
  "description": "Sample data service for BigQuery",
  "version": 0.1,
  "updatedAt": 1769982650000,
  "updatedBy": "admin",
  "href": "http://localhost:8585/api/v1/services/databaseServices/fd2193af-fe09-4366-92b7-1e0d01cd8c09",
  "connection": {
    "config": {
      "type": "BigQuery",
      "scheme": "bigquery",
      "hostPort": "bigquery.googleapis.com",
      "taxonomyProjectID": [],
      "taxonomyLocation": "us",
      "usageLocation": "us",
      "supportsMetadataExtraction": true,
      "supportsUsageExtraction": true,
      "supportsLineageExtraction": true,
      "supportsDBTExtraction": true,
      "supportsProfiler": true,
      "supportsQueryComment": true
    }
  },
  "owners": [],
  "tags": [],
  "deleted": false,
  "domains": [],
  "entityStatus": "Unprocessed"
}

POST

services

databaseServices

POST /v1/services/databaseServices

from metadata.sdk import configure
from metadata.sdk.entities import DatabaseServices
from metadata.generated.schema.api.services.createDatabaseService import CreateDatabaseServiceRequest

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

request = CreateDatabaseServiceRequest(
    name="snowflake_prod",
    displayName="Snowflake Production",
    serviceType="Snowflake",
    description="Production Snowflake data warehouse",
    connection={
        "config": {
            "account": "xy12345.us-east-1",
            "username": "ingestion_user",
            "password": "***",
            "warehouse": "COMPUTE_WH",
            "database": "ANALYTICS"
        }
    }
)

service = DatabaseServices.create(request)
print(f"Created: {service.fullyQualifiedName}")

import static org.openmetadata.sdk.fluent.DatabaseServices.*;

DatabaseService service = DatabaseServices.builder()
    .name("snowflake_prod")
    .serviceType("Snowflake")
    .connection(snowflakeConnection()
        .account("xy12345.us-east-1")
        .username("ingestion_user")
        .warehouse("COMPUTE_WH")
        .database("ANALYTICS"))
    .create();

curl -X POST "{base_url}/api/v1/services/databaseServices" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "sample_data",
    "serviceType": "BigQuery",
    "description": "Sample data service for BigQuery",
    "connection": {
      "config": {
        "type": "BigQuery",
        "scheme": "bigquery",
        "hostPort": "bigquery.googleapis.com",
        "taxonomyLocation": "us",
        "usageLocation": "us",
        "supportsMetadataExtraction": true,
        "supportsUsageExtraction": true,
        "supportsLineageExtraction": true,
        "supportsDBTExtraction": true,
        "supportsProfiler": true,
        "supportsQueryComment": true
      }
    }
  }'

{
  "id": "fd2193af-fe09-4366-92b7-1e0d01cd8c09",
  "name": "sample_data",
  "fullyQualifiedName": "sample_data",
  "serviceType": "BigQuery",
  "description": "Sample data service for BigQuery",
  "version": 0.1,
  "updatedAt": 1769982650000,
  "updatedBy": "admin",
  "href": "http://localhost:8585/api/v1/services/databaseServices/fd2193af-fe09-4366-92b7-1e0d01cd8c09",
  "connection": {
    "config": {
      "type": "BigQuery",
      "scheme": "bigquery",
      "hostPort": "bigquery.googleapis.com",
      "taxonomyProjectID": [],
      "taxonomyLocation": "us",
      "usageLocation": "us",
      "supportsMetadataExtraction": true,
      "supportsUsageExtraction": true,
      "supportsLineageExtraction": true,
      "supportsDBTExtraction": true,
      "supportsProfiler": true,
      "supportsQueryComment": true
    }
  },
  "owners": [],
  "tags": [],
  "deleted": false,
  "domains": [],
  "entityStatus": "Unprocessed"
}

Create a Database Service

Create a new database service connection to a platform such as Snowflake, BigQuery, or PostgreSQL.

Body Parameters

string

required

Name of the database service. Must be unique across all database services.

string

required

Type of database service (e.g., Snowflake, BigQuery, PostgreSQL, MySQL, Redshift, Databricks).

string

Description of the database service in Markdown format.

string

Human-readable display name for the database service.

object

Connection configuration specific to the service type.

Show properties

object

Service-specific connection configuration (e.g., account, warehouse, database for Snowflake).

array

Array of owner references (users or teams) to assign to the service.

Show properties

string

UUID of the owner entity.

string

Type of owner entity (e.g., user, team).

string

Name of the owner entity.

string

Fully qualified name of the domain to assign for governance purposes.

array

Array of classification tags to apply to the database service.

Show properties

string

required

Fully qualified name of the tag.

string

Type of label (e.g., Manual, Derived, Propagated).

string

State of the tag (e.g., Suggested, Confirmed).

POST /v1/services/databaseServices

from metadata.sdk import configure
from metadata.sdk.entities import DatabaseServices
from metadata.generated.schema.api.services.createDatabaseService import CreateDatabaseServiceRequest

configure(
    host="https://your-company.open-metadata.org/api",
    jwt_token="your-jwt-token"
)

request = CreateDatabaseServiceRequest(
    name="snowflake_prod",
    displayName="Snowflake Production",
    serviceType="Snowflake",
    description="Production Snowflake data warehouse",
    connection={
        "config": {
            "account": "xy12345.us-east-1",
            "username": "ingestion_user",
            "password": "***",
            "warehouse": "COMPUTE_WH",
            "database": "ANALYTICS"
        }
    }
)

service = DatabaseServices.create(request)
print(f"Created: {service.fullyQualifiedName}")

import static org.openmetadata.sdk.fluent.DatabaseServices.*;

DatabaseService service = DatabaseServices.builder()
    .name("snowflake_prod")
    .serviceType("Snowflake")
    .connection(snowflakeConnection()
        .account("xy12345.us-east-1")
        .username("ingestion_user")
        .warehouse("COMPUTE_WH")
        .database("ANALYTICS"))
    .create();

curl -X POST "{base_url}/api/v1/services/databaseServices" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "sample_data",
    "serviceType": "BigQuery",
    "description": "Sample data service for BigQuery",
    "connection": {
      "config": {
        "type": "BigQuery",
        "scheme": "bigquery",
        "hostPort": "bigquery.googleapis.com",
        "taxonomyLocation": "us",
        "usageLocation": "us",
        "supportsMetadataExtraction": true,
        "supportsUsageExtraction": true,
        "supportsLineageExtraction": true,
        "supportsDBTExtraction": true,
        "supportsProfiler": true,
        "supportsQueryComment": true
      }
    }
  }'

{
  "id": "fd2193af-fe09-4366-92b7-1e0d01cd8c09",
  "name": "sample_data",
  "fullyQualifiedName": "sample_data",
  "serviceType": "BigQuery",
  "description": "Sample data service for BigQuery",
  "version": 0.1,
  "updatedAt": 1769982650000,
  "updatedBy": "admin",
  "href": "http://localhost:8585/api/v1/services/databaseServices/fd2193af-fe09-4366-92b7-1e0d01cd8c09",
  "connection": {
    "config": {
      "type": "BigQuery",
      "scheme": "bigquery",
      "hostPort": "bigquery.googleapis.com",
      "taxonomyProjectID": [],
      "taxonomyLocation": "us",
      "usageLocation": "us",
      "supportsMetadataExtraction": true,
      "supportsUsageExtraction": true,
      "supportsLineageExtraction": true,
      "supportsDBTExtraction": true,
      "supportsProfiler": true,
      "supportsQueryComment": true
    }
  },
  "owners": [],
  "tags": [],
  "deleted": false,
  "domains": [],
  "entityStatus": "Unprocessed"
}

Returns

Returns the created database service object with all specified properties and system-generated fields.

Response

string

Unique identifier for the database service (UUID format).

string

Database service name.

string

Fully qualified name of the service.

string

Human-readable display name.

string

Description of the database service in Markdown format.

string

Type of database service (e.g., Snowflake, BigQuery, PostgreSQL).

object

Connection configuration for the service.

Show properties

object

Service-specific connection configuration.

array

List of owners assigned to the database service.

Show properties

string

UUID of the owner entity.

string

Type of owner entity (e.g., user, team).

string

Name of the owner entity.

string

Fully qualified name of the assigned domain.

array

Classification tags applied to the database service.

Show properties

string

Fully qualified name of the tag.

string

Type of label (e.g., Manual, Derived, Propagated).

string

State of the tag (e.g., Suggested, Confirmed).

number

Version number for the entity (starts at 0.1).

Create or Update (PUT)

Use PUT /v1/services/databaseServices instead of POST to perform an upsert. If a database service with the same fullyQualifiedName already exists, it will be updated; otherwise, a new service is created. The request body is the same as POST.

curl -X PUT "{base_url}/api/v1/services/databaseServices" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '{ ... same body as POST ... }'

PUT will not return a 409 conflict error if the entity already exists — it will update the existing entity instead.

Bulk Create or Update (PUT)

Use PUT /v1/services/databaseServices/bulk to create or update multiple database services in a single request. The request body is an array of create request objects.

curl -X PUT "{base_url}/api/v1/services/databaseServices/bulk" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json" \
  -d '[
    { "name": "service_one", "serviceType": "Snowflake", "connection": { "config": {} } },
    { "name": "service_two", "serviceType": "BigQuery", "connection": { "config": {} } }
  ]'

Error Handling

Code	Error Type	Description
`400`	`BAD_REQUEST`	Invalid request body or missing required fields
`401`	`UNAUTHORIZED`	Invalid or missing authentication token
`403`	`FORBIDDEN`	User lacks permission to create database services
`409`	`ENTITY_ALREADY_EXISTS`	Database service with same name already exists (POST only)

API Reference

Data Assets

AI SDK

SDK

Discovery

Lineage

Data Contracts

Teams And Users

Data Governance

Data Quality

Main Concepts

Create a Database Service

Create a Database Service

Body Parameters

Returns

Response

Create or Update (PUT)

Bulk Create or Update (PUT)

Error Handling

​Create a Database Service

​Body Parameters

​Returns

​Response

​Create or Update (PUT)

​Bulk Create or Update (PUT)

​Error Handling

Create a Database Service

Body Parameters

Returns

Response

Create or Update (PUT)

Bulk Create or Update (PUT)

Error Handling