Version iteration history
Product Changelog
Last updated: August 2026
v2.4.02026-07-29
OntiCards v2.4.0 Data Quality Inspection & Domestic Database Support
v2.4.0 Changelog (2026-07-29)
New Features
Domestic Database Support: DMBase (Dameng)
OntiCards now supports Wuhan Dameng (DMDB) domestic database.
Supported features:
- Data source connection and testing
- Smart data card generation
- NL2SQL query (aggregated search)
- Adaptive null detection
- Data quality rule execution and report generation
Domestic Database Support: OceanBase (MySQL tenant mode)
OntiCards now supports Ant Group OceanBase in MySQL tenant mode.
Oracle tenant mode coming in a future release.
- Uses standard SQLAlchemy MySQL dialect with OceanBase-specific index DDL compatibility
- Full MySQL-compatible table/column/key/index recognition
Domestic Database Support: KingBase
OntiCards now supports Dianke JinCang (KingBase) domestic database.
- PostgreSQL kernel-based, highly compatible syntax
- Auto-adaptive SQL dialect
Data Governance - Data Quality Inspection
- Rule Library: create by business domain, linked to data source, reusable
- Rule Creation: three modes -- template, AI natural language, manual
- Rule Types: null check, uniqueness, format, range, enum, regex, cross-table, custom SQL
- Batch Execution: auto-collect results, optional null detection and relationship discovery
- Quality Scoring: 5 tiers (Excellent >=95, Good >=85, Fair >=70, Poor >=60, Bad <60)
- Quality Overview: global dashboard with score, trends, distribution, compliance rate
- Quality Reports: Markdown export with AI summary
Improvements
- Interaction optimizations
- Multi-database dialect adaptation (MySQL, PostgreSQL, SQL Server, Oracle, SQLite, Trino, DMBase, KingBase, OceanBase)
- Dark mode adaptation
- Empty state prompts
- Unified quality inspection: basic null detection merged into rule-based system
Bug Fixes
- Fixed component loading state issues
- Improved stability with empty responses
Notes
- Data governance Phase 1 (quality inspection); Phase 2 (actual governance) planned
- Recommend creating rule libraries by business line
- Quality reports: Markdown format (Word/PDF/Excel coming)
- Execute large-scale inspections during off-peak hours
- Ensure no real-time data updates during inspection
For questions about product updates, contact hello@onticards.com