Export from SharePoint to Gremlin

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

The CloudQuery SharePoint plugin allows you to sync data from SharePoint to any destination, including Gremlin. It's free, open source, requires no account, and takes only minutes to get started.

Ready? Let's dive right in!

Step 1. Install the CloudQuery CLI

The CloudQuery CLI is a command-line tool that runs the sync. It supports MacOS, Linux and Windows.

brew install cloudquery/tap/cloudquery

Step 2. Configure the SharePoint source plugin

Create a configuration file for the SharePoint plugin and set up authentication.

SharePoint is a community plugin, which means that it is maintained by the CloudQuery community. Create a file called sharepoint.yaml, then copy the example and follow the instructions in the SharePoint Plugin Documentation ↗ to fit your needs.

Step 3. Configure the Gremlin destination plugin

Create a configuration file for the Gremlin plugin and set up authentication.

Configuration

Create a file called gremlin.yaml and add the following contents:

This example configures a Gremlin destination, located at ws://localhost:8182. The username and password are stored in environment variables.

kind: destination
spec:
  name: "gremlin"
  registry: "github"
  path: "cloudquery/gremlin"
  version: "v2.2.12"
  spec:
    endpoint: "ws://localhost:8182"
    # Optional parameters
    # auth_mode: none
    # username: ""
    # password: ""
    # aws_region: ""
    # max_retries: 5
    # max_concurrent_connections: 5 # default: number of CPUs
    # batch_size: 200
    # batch_size_bytes: 4194304 # 4 MiB

Fine-tune this configuration to match your needs. For more information, see the Gremlin Plugin ↗ page in the docs.

Step 4. Start the Sync

Run the following command in your terminal to start the sync

cloudquery sync sharepoint.yaml gremlin.yaml

And away we go! 🚀 The sync will run until completion, fetching all selected tables from SharePoint. Any errors will be logged to a file called cloudquery.log.