DataOps Features in Preview
DataOps.live offers pre-release features and gives them a status with a Preview tag. They are provided for evaluation and testing purposes and are not meant to be used in production under any circumstances.
DataOps.live notifies customers of available previews through different means, including emails, webinars, or newsletters. Preview features are always identified in our documentation and release notes by adding the Preview tags.
Preview types
Preview features can be either private or public and are released on a “Preview” basis with the below tags so customers can get early access and provide feedback:
- Private preview - Describes features still in development and may only be released to a few customers. You must not use such features in DataOps pipelines on your production branches. You can use them for testing in feature branches.
- Public preview - Describes actively developed features that may be released to a few or all customers. These features should not change significantly when fully released, but we do not recommend you use them in main production branches.
Features currently in preview
The following topics list all DataOps.live release features in public and private previews to help you discover our features in development but not yet delivered and generally available.
Features in public preview
| Orchestrators | Description |
|---|
| Data Product orchestrator | Helps run pipelines to build, test, deploy, and update data products in your DataOps project. Learn more with examples. |
| data.world orchestrator | Interacts with the data.world data catalog to publish metadata about the data transformed in a DataOps pipeline. Learn more with examples. |
| Stage Ingestion orchestrator | Helps ingest data from Snowflake stages into tables defined in the Snowflake configuration by SOLE (Snowflake Object Lifecycle Engine). Learn more with examples. |
| SOLE | Description |
|---|
| SOLE for Data Products migration | Provides information on how to migrate/update your current Snowflake object configuration to match the new structure of SOLE for Data Products. In the new structure, object definitions are split into separate files allowing their organization into type-specific or domain-specific files. Learn more with examples. |
| Applications | Description |
|---|
| DataOps.live Create | DataOps.live automates data product building, management, and deployment. It offers Gen AI assistance and lets you get instant answers to your questions while you iterate and refine the data product. Learn more with examples. |
| DataOps.live Assist | DataOps.live incorporates an AI-driven copilot that improves your user experience within the data product platform. Instant answers to questions in natural language expedite the iteration and refinement of data products across DataOps projects. Learn more with examples. |
| Platform | Description |
|---|
| Data Products | They leverage data as the source and, with the data product platform, you build pipelines to process and transform data into data products that allow consumers to connect, explore, and consume the data. Learn more with examples. |
| DataOps Runner for Snowpark Container Services | The DataOps runner deployed and operated inside Snowflake as alternative to a deployment via Docker or Kubernetes. Learn how to set it up |
Features in private preview
| Platform | Description |
|---|
| Private Docker Registry | The setup for using a private Docker Registry hosted on the same set of IP addresses that already need to be allowlisted for the DataOps.live platform. Learn more with examples. |
| Admin API | The new admin REST API for customer organizations to administrate there DataOps.live environment. Learn more. |