VersionZeroBeta

Collaborative database
schema design at global scale

Multiple engineers. Any timezone. One consistent schema. Backed by Aurora DSQL's multi-region active-active architecture — the only database that makes global schema consistency a database guarantee, not an app workaround.

Conflict Resolution

Optimistic Concurrency Control (OCC) conflicts handled automatically by the Aurora DSQL engine.

Active-Active Writes

Collaborators write to their local region. Strong consistency ensures the final canvas is perfectly synced.

Presence Cursor Layer

High-throughput cursor tracking using DynamoDB with TTL expiration. View your team in real time.

One-Click SQL Export

Export production-ready DQL statements optimized with UUID keys, matching DSQL engine specifications.

Append-Only Audit Log

Every column added, table renamed, or relationship deleted is safely recorded in an immutable change list.

Offline-First Resilience

Gracefully switches to local databases when cloud networks are slow. Re-syncs schemas when online.

Why VersionZero?

How DSQL multi-region consistency overthrows traditional web workarounds.

FEATURE
TRADITIONAL CANVAS TOOLS
VERSIONZERO (DSQL)
Consistency
Application-level WebSockets with race conditions. Hard lockouts or overrides.
✓ Database-enforced Strong Consistency. No locks; OCC rollback-on-commit resolves duplicates automatically.
Region Latency
Centralized database. Latency spikes for users editing in distant regions.
✓ Active-active globally. Read and write locally with local database speeds.
State Storage
Heavy JSON document updates (prone to structural corruptions).
✓ Atomic relational rows (No JSONB dependencies) conforming to DSQL constraints.
Audit Trails
Computed periodically or snapshot-based (hard to restore granular changes).
✓ Immutable, append-only changes recorded inside transaction scopes.

The Collaborative Lifecycle

Follow a single schema change as it journeys across the global active-active pipeline.

1

User Action triggers local canvas update

Next.js Client Actions

An engineer in Tokyo drags a table card or adds a primary key. The frontend hooks fire immediate local calculations, updating the local UI state without waiting for a database roundtrip.

2

Live Cursor synchronization via DynamoDB

Amazon DynamoDB (Presence Layer)

Simultaneously, the movement client triggers cursor update writes. Because presence is high-frequency but temporary, it goes to DynamoDB with a 30-second TTL. If the user disconnects, their cursor automatically self-expires.

3

OCC schema transaction commits to local region

AWS Aurora DSQL (OCC Transactions)

The schema state modification hits the serverless API which wraps the queries in a withDSQLRetry loop. The transaction runs locally in the nearest active-active AWS endpoint without lock delays.

4

Global Consensus replication

Active-Active Multi-Region Replication

AWS distributes the database state updates globally. If another user in New York edited the same table at the exact same millisecond, DSQL detects the conflict at commit time, rolls back the loser, and automatically runs a retry loop, serving a consistent design canvas to all users.

VersionZeroAurora DSQL + DynamoDB + Vercel