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Export from GCP to Azure Blob Storage

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

The CloudQuery GCP plugin allows you to sync data from GCP to any destination, including Azure Blob Storage. It takes only minutes to get started.

GCP
gcp
Official
Open-core

GCP

The GCP Source plugin for CloudQuery extracts configuration from a variety of GCP APIs and loads it into any supported CloudQuery destination. Some tables are marked as premium and have a price per 1M rows synced.

Publisher

cloudquery

Repositorygithub.com
Latest version

v11.6.2

Type

Source

Platforms
Date Published

Feb 21, 2024

Price per 1M rows

$100 (premium tables)

free quota

1M rows

azblob
Official

Azure Blob Storage

This destination plugin lets you sync data from a CloudQuery source to remote Azure Blob Storage storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v3.5.2

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

Logging in is required to use premium plugins and premium tables in open-core plugins.

cloudquery login

Step 3. Configure GCP source plugin

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

kind: source
spec:
  # Source spec section
  name: "gcp"
  path: "cloudquery/gcp"
  registry: "cloudquery"
  version: "v11.6.2"
  tables: ["gcp_storage_buckets"]
  destinations: ["azblob"]
  spec:
    # GCP Spec
    project_ids: ["my-project"]

Step 4. Configure Azure Blob Storage destination plugin

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

kind: destination
spec:
  name: "azblob"
  path: "cloudquery/azblob"
  registry: "cloudquery"
  version: "v3.5.2"
  spec:
    storage_account: "cqdestinationazblob"
    container: "test"
    path: "path/to/files"

    format: "csv" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # batch_size: 10000
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s

Step 5. Run Sync

cloudquery sync gcp.yml azblob.yml
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