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Export from Snyk to BigQuery

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

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

Snyk
snyk
Official
Premium

Snyk

The CloudQuery Snyk plugin pulls configuration out of Snyk resources and loads it into any supported CloudQuery destination

Publisher

cloudquery

Latest version

v5.4.0

Type

Source

Platforms
Date Published

BigQuery
bigquery
Official

BigQuery

The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform

Publisher

cloudquery

Repositorygithub.com
Latest version

v3.5.4

Type

Destination

Platforms
Date Published

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 Snyk source plugin

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

kind: source
# Common source-plugin configuration
spec:
  name: snyk
  path: cloudquery/snyk
  registry: cloudquery
  version: "v5.4.0"
  tables:
    - "snyk_audit_logs"
    - "snyk_container_images"
    - "snyk_custom_base_images"
    - "snyk_issues"
    - "snyk_organizations"
    - "snyk_projects"
    - "snyk_sbom"
  destinations: ["bigquery"]

  # Snyk specific configuration
  spec:
    # required
    api_key: "${SNYK_API_KEY}"
    # optional, default: all organizations accessible via `api_key`
    organizations:
      - "<YOUR_ORG_1>"
      - "<YOUR_ORG_2>"
    # optional, default: all projects accessible via `api_key`
    projects:
      - "<YOUR_PROJECT_1>"
      - "<YOUR_PROJECT_2>"

Step 4. Configure BigQuery destination plugin

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

kind: destination
spec:
  name: bigquery
  path: cloudquery/bigquery
  registry: cloudquery
  version: "v3.5.4"
  write_mode: "append"
  spec:
    project_id: ${PROJECT_ID}
    dataset_id: ${DATASET_ID}
    # Optional parameters
    # dataset_location: ""
    # time_partitioning: none # options: "none", "hour", "day"
    # service_account_key_json: ""
    # endpoint: ""
    # batch_size: 10000
    # batch_size_bytes: 5242880 # 5 MiB
    # batch_timeout: 10s

Step 5. Run Sync

cloudquery sync snyk.yml bigquery.yml
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