Update | Description | Release Date | Documentation |
Data access | New: Offline Sync: Supports multiple modes such as file sync, single-table sync, and batch sync, covering the unified data ingestion into the lake for structured, semi-structured, and unstructured data. Real-time Sync: Supports synchronization links for full-database multi-table and sharded database/table scenarios, meeting the requirements of real-time data integration. Unified Data Source Management: Provides centralized management for data sources, supporting unified configuration and authentication for 47+ types of mainstream data sources. AI-assisted Source and Task Creation: Quickly creates data sources and sync tasks based on natural language, and automatically completes field mapping and scheduling configurations. Auto Table Creation: Automatically detects source-side schema changes and supports the automatic creation and evolution of target-side table structures. Data Reconciliation and Outbound Service: Provides capabilities for data reconciliation verification upon ingestion and outbound services, ensuring the accuracy and availability of the ingested data. | 2026-08 | - |
Data engineering | New: Studio Integrated Development Environment: Supports multi-language development and debugging with Notebook / SQL / Python, providing a one-stop solution for data engineers' daily R&D. Development Assistance: Provides development efficiency tools such as intelligent code completion and AI Coding, significantly lowering the barrier to SQL/Python development. Git Source Code Management: Studio has built-in Git integration capabilities, supporting code version management and collaborative development. Workflow Orchestration: Supports multiple scheduling trigger methods (periodic/one-time/event-based), task dependency orchestration, and parameter passing. Ops Monitoring and Alerting: Provides production-grade Ops capabilities such as task runtime monitoring, exception alerting, and failure retry. AI Diagnosis: Supports AI-powered intelligent diagnosis for task failures, with 60%+ of common issues capable of being self-healed by AI or receiving repair suggestions. CI/CD Bundle: Provides multi-environment configuration management and Git-integrated automated deployment capabilities, supporting standard DevOps processes. | 2026-08 | - |
Data science | New: Feature Management: Supports the management and synchronization of offline/online feature tables, covering the entire feature engineering lifecycle. Experiment Management: Supports the management of multiple types of experiments, including machine learning, deep learning, large models, and Agents. AutoML: Provides automated machine learning capabilities, lowering the barrier to model development. Model Full Lifecycle: Provides capabilities such as model registration, version management, and lineage tracking. Online Inference Service: Provides production-grade model service capabilities such as AB testing, quality monitoring, and authentication and flow control. | 2026-08 | - |
Data governance | New: Unified Multimodal Management: Provides centralized management for all modalities, including Catalog / Schema / Table / Model / Volume / Function. AI Semantic Search: Provides asset search based on semantic understanding and supports querying data assets using natural language. Data Quality Monitoring: Provides built-in capabilities for quality rule configuration, anomaly detection, and data profiling. Data Security Protection: Covers table-level/row-level permission control, sensitive data identification and protection, and audit logs. AI Ready Semantic Management: Supports metric, dimension, semantic modeling, and ontology modeling, providing accurate and trustworthy data semantics for AI Agents. | 2026-08 | - |
Data applications | New: Dashboard Visual Building: Provides drag-and-drop dashboard building capabilities with built-in rich chart components. AI Natural Language Chart Generation: Supports automatically generating charts and dashboards based on natural language descriptions. BI Product Integration: Can integrate with mainstream foreign BI products such as Power BI. Agent Building Platform: Covers the entire enterprise-grade Agent development lifecycle, including Agent creation, autonomous tuning, deployment and Ops, MCP service integration, and observability. | 2026-08 | - |
Agent | New: Engineering Agent: Covers the full-cycle data engineering capabilities, including requirement understanding, data warehouse solution design, ETL code generation, and intelligent Ops. Governance Agent: Provides intelligent problem discovery and closed-loop governance across multiple dimensions such as data quality, data security, and data lineage, and supports intelligent semantic modeling and semantic governance. Analysis Agent: Integrates the full-cycle analysis capabilities of intelligent data query, root cause analysis, and intelligent dashboard building. Agent Security Protection: Builds a multi-layer security protection system, integrates data security control and Agent protection engines, and supports the trustworthy and controllable deployment of Agents. | 2026-08 | - |
Platform foundation | New: Product Activation and Billing: Supports basic capabilities such as product activation, billing management, and order management. Workspace Management: Provides capabilities such as workspace creation, member management, and resource quota management. Multi-Channel Notification Configuration: Supports notification configuration across multiple channels such as email, WeCom, and Lark. Git Connection Management: Supports workspace-level Git connection configuration and provides source code hosting capabilities for Studio and the CI/CD Bundle. Two-Tier Permission Management: A two-tier user permission management system based on RBAC role permissions and ACL entity permissions. Unified Compute Resource Management: Supports unified management and network connectivity configuration for platform clusters, real-time clusters, Spark job/interactive clusters, Ray clusters, and GPU resources. | 2026-08 | - |
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