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Export from Backstage to PostgreSQL

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Backstage plugin allows you to sync data from Backstage to any destination, including PostgreSQL. It takes only minutes to get started.

Backstage
backstage
Official
Premium

Backstage

Sync from Backstage to any destination

Publisher

cloudquery

Latest version

v1.3.1

Type

Source

Platforms
Date Published

postgresql
Official

PostgreSQL

This destination plugin lets you sync data from a CloudQuery source to a PostgreSQL compatible database.

Publisher

cloudquery

Repositorygithub.com
Latest version

v8.2.5

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

cloudquery login

Step 3. Configure Backstage source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  name: "backstage"
  path: "cloudquery/backstage"
  registry: "cloudquery"
  version: "v1.3.1"
  tables: ["*"]
  destinations:
    - "postgresql"
  spec:
    # Required, replace with your Backstage URL
    base_url: "https://demo.backstage.io"

Step 4. Configure PostgreSQL destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "postgresql"
  path: "cloudquery/postgresql"
  registry: "cloudquery"
  version: "v8.2.5"
  # Learn more about the configuration options at https://cql.ink/postgresql_destination
  spec:
    connection_string: "${POSTGRESQL_CONNECTION_STRING}" # set the environment variable in a format like postgres://postgres:pass@localhost:5432/postgres?sslmode=disable
    # you can also specify it in DSN format, which can hold special characters in the password field:
    # connection_string: "user=postgres password=pass+0-[word host=localhost port=5432 dbname=postgres"
    # Optional parameters:
    # pgx_log_level: error
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 100000000 # 100 MB
    # batch_timeout: 60s

Step 5. Run Sync

cloudquery sync backstage.yml postgresql.yml

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