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Export from Airtable to Microsoft SQL Server

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

The CloudQuery Airtable plugin allows you to sync data from Airtable to any destination, including Microsoft SQL Server. It takes only minutes to get started.

Airtable
airtable
Official

Airtable

This plugin is in preview.

The CloudQuery Airtable plugin pulls data from Airtable and loads it into any supported CloudQuery destination

Publisher

cloudquery

Repositorygithub.com
Latest version

v2.1.0

Type

Source

Platforms
Date Published

Feb 13, 2024

Price

Free

mssql
Official

Microsoft SQL Server

This plugin is in preview.

This destination plugin lets you sync data from a CloudQuery source to a Microsoft SQL Server compatible database. This includes both Microsoft SQL Server and Azure SQL Server.

Publisher

cloudquery

Repositorygithub.com
Latest version

v4.4.1

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Configure Airtable source plugin

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

kind: source
# Common source-plugin configuration
spec:
  name: airtable
  registry: docker
  path: docker.cloudquery.io/cloudquery/source-airtable:v2.1.0
  tables: ["*"]
  destinations: ["mssql"]
  # airtable-specific configuration
  spec:
    access_token: "${AIRTABLE_ACCESS_TOKEN}" # required
    # endpoint_url: "https://api.airtable.com" # Optional, defaults to `https://api.airtable.com`
    # concurrency: 10000 # Optional, defaults to `10000`

Step 3. Configure Microsoft SQL Server destination plugin

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

kind: destination
spec:
  name: "mssql"
  path: "cloudquery/mssql"
  registry: "cloudquery"
  version: "v4.4.1"
  spec:
    connection_string: "server=localhost;user id=SA;password=yourStrongP@ssword;port=1433;database=cloudquery;"
    # Optional parameters:
    # auth_mode: ms
    # schema: dbo
    # batch_size: 1000 # 1K entries
    # batch_size_bytes: 5242880 # 5 MiB
    # batch_timeout: 20s

Step 4. Run Sync

cloudquery sync airtable.yml mssql.yml
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