Features
Full Git-like version control for database tables (branch, merge, diff, commit, push, pull)
MySQL-compatible SQL interface
Connect using any MySQL client (CLI, GUI, ORM)
Time-travel queries and rollback to any commit
Clone, fork, and share databases via DoltHub
Pull request workflow for database changes
Concurrent branching and merging with conflict resolution
Import and export CSV, JSON, Parquet
Built-in diff and log for tables and rows
Works as a versioned MySQL replica
ACID transactions with versioning
Command-line interface identical to Git
DumDb log filters for querying data history (DumboDB)
PostgreSQL-compatible version control (Doltgres, 1.0 Aug 2026)
BranchBench performance benchmarking for agentic SQL workflows
High-fidelity synthetic data generation via TabularARGN
Agentic data science automation for training/sampling
Natural language AI Assistant executing Python code
Mock data generation for safe experimentation and testing
Simulated data for edge-case and what-if modeling
Multi-table synthesis with referential integrity
Time-series support and data rebalancing
Differential privacy with temperature control
Deployment on Kubernetes or Red Hat OpenShift
Open-source Synthetic Data SDK under Apache v2 license
Data connectors for Databricks, AWS, Snowflake, BigQuery
Real-time data access from production systems (e.g., Databricks)
Star schema and nested sequences support
REST API and Python Client for programmatic access
Conditional simulation and seeded generation
