January 30, 2026 Lakehouse Studio Product Update Release Notes

This release (Release 2026.01.30, v2.0) introduces a series of new features, enhancements, and fixes. Please note that these updates will be rolled out in phases to the following regions, and are expected to be completed within one to two weeks from the release date, depending on your region.

• Tencent Cloud Shanghai
• Tencent Cloud Beijing
• Tencent Cloud Guangzhou
• Alibaba Cloud Shanghai
• Alibaba Cloud Singapore
• AWS Singapore
• AWS Beijing

Breaking Changes

• None

Major Updates

• Data Agent Grand Launch (Trial Edition)
  • AI empowers the full data development lifecycle — no complex coding required. Simply input natural language to automatically generate data development tasks.
  • When an instance fails, root causes are diagnosed in real time, significantly reducing manual development and operations time and lowering the barrier to entry.
• MCP Server Now Available
  • Equipped with standardized MCP protocol interfaces, it easily connects with third-party AI applications and can directly invoke platform capabilities such as Lakehouse SQL execution, task development, data integration, and operations diagnostics, breaking down ecosystem barriers and expanding usage boundaries. For specific tool capabilities, refer to the MCP Server Manual.
• Enterprise-Grade Model Management
  • Model Management is an enterprise-grade "unified model invocation and governance hub," with built-in core capabilities including rate limiting, runtime monitoring, permission isolation, and cost control. It supports aggregating "cloud service provider hosted models" and "enterprise-owned external models," enabling standardized model invocation, visualized resource governance, and granular cost attribution across multiple scenarios.

New Features

Comprehensive Expansion of Data Sync Scenarios

• New Target Data Sources for Multi-Table Real-time Sync: Added PostgreSQL and MySQL as target data source types.
• New Source Support for Multi-Table Real-time Sync: Added support for reading data from TiDB and writing to Lakehouse.
• Incremental Sync for Multi-Table Batch Sync: Added support for incremental sync based on WHERE conditions.

Improvements

• Data Sync:
  • Dirty data error details have been upgraded, enabling precise identification of failed fields and causes for more efficient troubleshooting.
  • Full sync batching strategy has been optimized, resulting in significantly improved sync speed.
• Workspace: List sorting rules have been optimized to directly display workspaces you have permission for, making information viewing clearer.

Bug Fixes

• None

Known Limitations

• None