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