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Export from Azure to S3

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

The CloudQuery Azure plugin allows you to sync data from Azure to any destination, including S3. It takes only minutes to get started.

Azure
azure
Official
Open-core

Azure

The CloudQuery Azure source plugin extracts information from many of the supported services by Microsoft Azure 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

v12.1.1

Type

Source

Platforms
Date Published

Mar 26, 2024

S3
s3
Official

S3

This destination plugin lets you sync data from a CloudQuery source to remote S3 storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.1.1

Type

Destination

Platforms
Date Published

Mar 26, 2024

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 Azure source plugin

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

kind: source
spec:
  # Source spec section
  name: "azure"
  path: "cloudquery/azure"
  registry: "cloudquery"
  version: "v12.1.1"
  destinations: ["s3"]
  tables: ["azure_compute_virtual_machines"]
  spec:
    # Optional parameters
    # subscriptions: []
    # cloud_name: ""
    # concurrency: 50000
    # discovery_concurrency: 400
    # skip_subscriptions: []
    # normalize_ids: false
    # oidc_token: ""
    # retry_options:
    #   max_retries: 3
    #   try_timeout_seconds: 0
    #   retry_delay_seconds: 4
    #   max_retry_delay_seconds: 60

Step 4. Configure S3 destination plugin

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

kind: destination
spec:
  name: "s3"
  path: "cloudquery/s3"
  registry: "cloudquery"
  version: "v5.1.1"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    region: "region-name" # Example: us-east-1
    path: "path/to/files/{{TABLE}}/{{UUID}}.parquet"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # athena: false # <- set this to true for Athena compatibility
    # test_write: true # tests the ability to write to the bucket before processing the data
    # endpoint: "" # Endpoint to use for S3 API calls.
    # endpoint_skip_tls_verify # Disable TLS verification if using an untrusted certificate
    # use_path_style: false
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s # 30 seconds

Step 5. Run Sync

cloudquery sync azure.yml s3.yml
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