Export from AWS to BigQuery
CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.
The CloudQuery AWS plugin allows you to sync data from AWS to any destination, including BigQuery. It takes only minutes to get started.
AWS
The AWS Source plugin extracts information from many of the supported services by Amazon Web Services (AWS) and loads it into any supported CloudQuery destination. Some tables are marked as premium and have a price per 1M rows synced.
cloudquery
v25.5.1
Source
Mar 28, 2024
BigQuery
The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform
cloudquery
v3.5.0
Destination
Mar 26, 2024
Table of Contents
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 AWS source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
# Source spec section
name: aws
path: cloudquery/aws
registry: cloudquery
version: "v25.5.1"
tables: ["aws_ec2_instances"]
destinations: ["bigquery"]
spec:
# Optional parameters
# regions: []
# accounts: []
# org: nil
# concurrency: 50000
# initialization_concurrency: 4
# aws_debug: false
# max_retries: 10
# max_backoff: 30
# custom_endpoint_url: ""
# custom_endpoint_hostname_immutable: nil # required when custom_endpoint_url is set
# custom_endpoint_partition_id: "" # required when custom_endpoint_url is set
# custom_endpoint_signing_region: "" # required when custom_endpoint_url is set
# use_paid_apis: false
# table_options: nil
# scheduler: shuffle # options are: dfs, round-robin or shuffle
# use_nested_table_rate_limiting: false
# enable_api_level_tracing: false
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: "v3.5.0"
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 aws.yml bigquery.yml