Alpha Features Alpha

Below is a list of features currently in alpha. Reach out to the RudderStack team to get access.

Tracking Plans CLI and git workflow

version: rudder/v0.1
kind: properties
metadata:
  name: mypropertygroup
spec:
  properties:
    - id: product_sku
      display_name: "SKU"
      type: string
      description: "Product SKU"
    - id: category
      display_name: "Category"
      type: string
      description: "Product's category"

We’re actively developing programmatic management of our data governance tools for data quality. Users are currently testing early versions of our CLI, which enables a full, git-based development workflow.

Reach out and our team will show you a demo and give you early access.

Copy tracking plans across workspaces

We’re actively working on a number of features that will help you version control tracking plans within the context of a full development workflow, but in the meantime we’ve built an basic feature you can use to copy tracking plans across workspaces in the UI.

There are two options for how to copy a tracking plan:

1. Copy as a new Tracking Plan: This will copy the tracking plan as a net new plan in the target workspace. Note that any new events and properties will be copied into the the Data Catalog of the target workspace.
2. Copy and replace an existing Tracking Plan: This will replace an existing tracking plan and connect the migrated plan to the same sources. The original Tracking Plan will be kept and renamed.

Use Option 2 with caution. This is an alpha feature and the action cannot be rolled back.

Reach out and the team can enable this feature for you.

Kafka source

Our Kafka Source enables you to ingest messages from a Kafka stream directly into RudderStack. This can be useful for:

• Applying data governance for behavioral event data.
• Streaming Kafka messages to out-of-the-box cloud integrations.

If you’re interested in streaming data from a system like Kafka, RedPanda, or other messaging queues into RudderStack, reach out and our team would love to learn more.

You can test this source today. Check out the Kafka Source documentation for details.

Questions? Contact us by email or on Slack