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DataOps Features in Preview 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. 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 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

Collibra orchestratorInteract with Collibra to publish metadata about the data transformed in a DataOps pipeline. Learn more with examples. orchestratorInteracts with the data catalog to publish metadata about the data transformed in a DataOps pipeline. Learn more with examples.
Monte Carlo orchestratorAllows products to leverage the observability tools within the Monte Carlo platform. Learn more with examples.
Soda orchestratorAllows Soda users to execute automated testing as part of a pipeline, supporting operations provided by Soda SQL. Learn more with examples.
Stage Ingestion orchestratorHelps ingest data from Snowflake stages into tables defined in the Snowflake configuration by SOLE (Snowflake Object Lifecycle Engine). Learn more with examples.

Features in private preview

SOLE for Data ProductsNew framework for SOLE (Snowflake Object Lifecycle Engine) to help you easily build an ecosystem of data products and benefit from greater accuracy and accessibility of data. Learn more with examples.
SOLE for Data Products migrationProvides 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.
Snowpark (Python) orchestratorProvides an intuitive API for querying and processing data in a pipeline. Learn more with examples.
DataOps Development EnvironmentThe DataOps Development Environment (DDE) is a ready-to-code environment that gives you a highly optimized Data Development Experience for key DataOps use cases with no or minimal setup. It has three deployment topologies: cloud, local, or remote. Learn more with examples.