Skip to content

Release Notes

188.21.0: Knowledge APIs, Workflows, SQL Server, Performance

In this release, we introduce new knowledge-layer APIs, allowing users to create and update dimensions and metrics programmatically in their datasets. We also continue to develop our beta deep research and workflow planning features. We have added a beta connector for Microsoft SQL Server. Finally, we have made numerous performance optimizations that help the application feel more responsive.

186.1.4: Enterprise Administration, Reset Chat, and Removing v1

This is a feature-filled and exciting release for enterprise users. In particular, this release includes our first version of our enterprise admin console, which allows enterprise admins to manage datasets in base account and distribute changes to these datasets to their downstream customers in an organized way. For more details, please visit our freshly published Enterprise Administration Guides. As this is our first version, we know there is room for improvement, so we are looking forward to your feedback.

We also include the ability to "reset" feedback chats and have removed all v1 functionality.

As usual, we also have a large number of bugfixes and performance improvements.

177.52.1

This release introduces the Enterprise admin experience. It also improves guardrails for editing dimension, metrics, data sources and joins and assists in identifying sensitive dimensions and metrics.

177.6.1

This release introduces the concept of "Thinking" messages in Numbers Station AI and fixes a series of bugs.

176.16.14

This release introduces the new Explanations feature for the SQL Query Agent and includes a few bug fixes.

176.16.2

This release fixes issues related to data element display types, enhances admin feedback filtering, and provides a notable performance boost for end users.

176.5.5

This release introduces many improvements for the chats experience, fixes for the admin feedback flow, and fixes for dataset page.

172.18.1

This release introduces new ways to create and manage datasets, along with enhancements to API access.