Back to source plugin

Export from Airtable to Kafka

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 Kafka. 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

v2.2.0

Type

Source

Platforms
Date Published

Kafka
kafka
Official

Kafka

This plugin is in preview.

This destination plugin lets you sync data from a CloudQuery source to Kafka in various formats such as CSV, JSON. Each table will be pushed to a separate topic

Publisher

cloudquery

Repositorygithub.com
Latest version

v3.3.8

Type

Destination

Platforms
Date Published

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:v2.2.0
  tables: ["*"]
  destinations: ["kafka"]
  # 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 Kafka destination plugin

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

kind: destination
spec:
  name: "kafka"
  path: "cloudquery/kafka"
  registry: "cloudquery"
  version: "v3.3.8"
  write_mode: "append"
  spec:
    # required - list of brokers to connect to
    brokers: ["<broker-host>:<broker-port>"]
    # optional - if connecting via SASL/PLAIN, the username and password to use. If not set, no authentication will be used.
    sasl_username: "${KAFKA_SASL_USERNAME}"
    sasl_password: "${KAFKA_SASL_PASSWORD}"
    format: "json" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # client_id: cq-destination-kafka
    # verbose: false
    # batch_size: 1000

Step 4. Run Sync

cloudquery sync airtable.yml kafka.yml
Subscribe to product updates

Be the first to know about new features.