A streaming engine for database migration and synchronization. Zero middleware. VPC-Native. Zero volume tax.
Production Ready Connectors
Traditional ETL tools charge you for volume and slow you down with middleware.
Synq runs on your metal, at your speed.
Open Source Engine
Container Platform
SaaS Provider
Competitors spawn a new Docker container for every connector, creating massive OS overhead. Synq compiles connectors as Go Libraries directly into the binary.
Data structures are mapped in memory. We avoid the JSON marshal/unmarshal tax that kills Java/Python ETL tools.
Synq builds a topological graph of your schema. Foreign keys are resolved automatically by insertion order.
Memory is allocated once and recycled instantly. This eliminates Garbage Collection spikes even at 100M+ rows.
Define your pipelines in simple YAML. Version control your ETL. Deploy with a single command. No dragging-and-dropping boxes.
Schema validation happens at build time, not runtime.
Updates propagate in milliseconds without restarting the daemon.
synq run --dry-run lets you simulate migrations safely.
version: "v1" pipeline: source: type: postgres connection: ${PG_URI} tables: - users - orders transform: mask_pii: true batch_size: 5000 destination: type: snowflake warehouse: compute_wh # Auto-creates schema if missing auto_schema: true
Don't just move data—inspect it. Synq includes a native PII scanner to detect exposed sensitive data before it leaves your source. Apply deterministic masking on the fly.
Stop paying for row volume. Start paying for compute.
Synq is MIT licensed. No feature gating. No row limits.
Run it on your laptop, your server, or your cloud.