What's Datascale
Getting started
Release history
Data Modeling
SQL Productivity
- Organizing queries
  - A Second-brain for SQL
  - SQL notes
- Parameterized query
Collaboration
- Share anyone with link
- Invite team members
troubleshooting
- Limitations
Links

Powered by GitBook

On this page

The single-source of truth for your data assets.
1. AI Query Analysis
2. Data Modeling
3. Automated Catalog

Getting started

PreviousWhat's Datascale NextRelease history

Last updated 5 months ago

The single-source of truth for your data assets.

📝 DDL/SQL notes, 🕵️ Query analysis, 🧬 Metadata management, and 🔭 Catalog & Modeling.

1. AI Query Analysis

Extract metadata and understand SQL queries with natural language interpretation.

2. Data Modeling

Reverse engineering data models from DDLs, views, and SQL queries into Lineage and ER diagram.

3. Automated Catalog

Give query usage context for your datasets (available in Business plan)