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Export from Azure to Gremlin

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 Gremlin. It takes only minutes to get started.

Azure
azure
Official
Premium

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

v13.2.0

Type

Source

Platforms
Date Published

Gremlin
gremlin
Official

Gremlin

This plugin is in preview.

This destination plugin lets you sync data from any CloudQuery source to a Gremlin compatible graph database such as AWS Neptune

Publisher

cloudquery

Repositorygithub.com
Latest version

v2.4.11

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 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: "v13.2.0"
  destinations: ["gremlin"]
  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 Gremlin destination plugin

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

kind: destination
spec:
  name: "gremlin"
  path: "cloudquery/gremlin"
  registry: "cloudquery"
  version: "v2.4.11"
  spec:
    endpoint: "ws://localhost:8182"
    # Optional parameters
    # auth_mode: none
    # username: ""
    # password: ""
    # aws_region: ""
    # aws_neptune_host: ""
    # max_retries: 5
    # max_concurrent_connections: 5 # default: number of CPUs
    # batch_size: 200
    # batch_size_bytes: 4194304 # 4 MiB

Step 5. Run Sync

cloudquery sync azure.yml gremlin.yml
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