We believe managing databases should be as simple as having a conversation. Datavor makes that possible.
Artificial intelligence is changing how people interact with data. Traditionally, managing databases required deep technical expertise and strong SQL knowledge. Tasks like querying data, comparing schemas, synchronizing systems, or troubleshooting differences were reserved for database specialists.
Instead of navigating complex interfaces or writing manual SQL queries, users simply describe what they want to do. Datavor understands the request and translates it into precise database operations — instantly and reliably.
Datavor combines the power of AI with purposeful visual tools across two generations of features. Version 1.0 delivers the foundation — sync, schema comparison, and database exploration. Version 1.5 adds the pipeline layer — automated scheduling, inline data transforms, and a full sync monitoring dashboard. Version 2.0 expands to five databases with the Multi-Connector and adds an AI knowledge brain through the Context Engine. Together, they cover the complete lifecycle of database operations.
Full, incremental, and partial sync between MySQL and PostgreSQL. Handles all type conversions automatically.
Side-by-side diff of table structures. Highlights missing columns, type mismatches, and index differences.
Browse tables, inspect schemas, and query data in plain English. No SQL required.
Hierarchical view of your entire database structure — tables, columns, row counts at a glance.
Spot data inconsistencies and schema drift across dev, staging, and production environments.
AI-recommended sync order with safety checks. Know exactly what to move and in which sequence.
Automate syncs with plain-English schedules — "every night at 2am". Runs independently of Claude Desktop, 24/7.
Rename columns, cast types, filter rows, remap values — all inline during sync. Preview on real data before committing.
Every sync is recorded automatically. Ask Claude for success rates, rows moved, failure diagnostics, and table history.
SQL Server, SQLite, and Snowflake added. Sync between any combination of all five engines in any direction.
Persistent AI knowledge brain that learns your schema, business rules, and sync patterns — silently, across sessions.
Full macOS, Windows, and Linux support. The universal type engine maps all five databases through a shared canonical layer.
Unlike traditional database tools filled with menus, buttons, and complex workflows, Datavor only surfaces visual information when it is truly useful. The interface stays lightweight while AI handles the complexity behind the scenes — so users can perform advanced operations without memorizing SQL commands or learning complicated interfaces.
Through natural language instructions, users can perform complex database tasks that previously required hours of manual work and deep expertise. Datavor's AI agents interpret requests, analyze the database state, and recommend the safest and most efficient actions.
Version 1.5 extends this further — adding a Scheduler, Transform Pipeline, and Sync Dashboard. Version 2.0 goes further still — five database engines, cloud compatibility (Supabase, AWS RDS, Azure SQL, Aiven, PlanetScale), and a Context Engine that learns your data over time.
With v2.0, syncs now span five database engines. The Context Engine silently accumulates knowledge — remembering schema changes, auto-applying business rules, and surfacing insights on demand. Teams can operate entire data pipelines without writing a line of SQL, across any combination of databases.
Datavor is designed to grow with the needs of data teams. Version 1.0 established core sync and schema tools. Version 1.5 added pipelines — scheduling, transforms, and dashboards. Version 2.0 expanded to five database engines with the Context Engine AI brain. Future versions will bring CDC, dbt, and a visual web dashboard.
Our goal is to build a system where AI and humans collaborate seamlessly to manage data infrastructure — regardless of database type, team size, or technical background.
We are building tools that allow people to interact with complex data systems using simple language — while still maintaining the precision and reliability that enterprise environments demand.
Datavor aims to redefine how databases are managed in the age of AI.
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