Query Data with Natural Language
Ask Data Questions Without SQL
'Show me the top 10 best-selling products this month' - AI generates the appropriate SQL and returns results. Also manage all organizational data assets in a catalog for discovery and governance.
Core Values
Natural Language Query
Ask data questions in everyday language. No SQL knowledge required.
Data Catalog
Centrally manage all organizational data assets. Find the data you need quickly with search.
Data Lineage
Track where data came from and how it was transformed. Visualize ETL pipeline flows.
Data Governance
Ensure data compliance through sensitive data classification, access control, and quality monitoring.
Key Features
Multi-language NLQ
Query naturally in Korean, English, Japanese, or Chinese.
- Aggregation, comparison, ranking, filter, trend queries
- Synonym/similar expression understanding
- Context retention (follow-up understanding)
Smart Autocomplete
Auto-suggests as you type table names, column names, and values.
- Table/view name suggestions
- Actual data value suggestions
- Recently used queries prioritized
Query History & Saved
Save and reuse previous queries.
- Recent queries auto-saved
- Query sharing (link to teammates)
- Parameterization (variables)
Data Dictionary
Manage descriptions and metadata for all tables and columns.
- Table/column info, relationships
- Stats: row count, null ratio, value distribution
- Auto-detect schema changes
Tagging & Classification
Tag data assets for easier search and exploration.
- Business/data type/sensitivity tags
- Hierarchical classification
- AI-based auto-classification
Data Quality Score
Evaluate completeness, accuracy, and freshness of each dataset.
- Completeness, accuracy, freshness, consistency, validity
- Overall score (0-100) and grade
- Custom quality rules
Use Cases
Self-Service Analytics
Non-technical users (marketers, sales, executives) analyze data directly without IT help.
Data Discovery
Explore hidden data assets. 'Where is customer-related data?' - find at a glance.
Compliance
Auto-identify and classify sensitive data (PII, financial). Manage data access under PIPA (Korea).
New Employee Onboarding
New analysts quickly understand data structure. Data dictionary and sample queries reduce learning time.
Technical Specifications
Start Data Analysis with Natural Language
Anyone can ask data questions and get answers without SQL.