Give your AI features live data, not 15 mins or 1hr old data. Stream every database change to BigQuery under 100ms — no brokers or complex setup.
Stream every database change to BigQuery, Kafka, or files in real time. One binary between your database and your destinations — no brokers, no pipelines to maintain.
A single statically linked binary. Drop it anywhere — local, Docker, or Kubernetes. Zero runtime dependencies.
The edge cases that break other pipelines at 2am. We've already solved them.
No duplicate rows. No silent data loss. Every change lands in BigQuery exactly once — no deduplication logic needed downstream.
Add a column to Postgres? BigQuery gets it on the next batch. Nanosync detects and applies schema changes without restarts or manual intervention.
Stop the pipeline. Restart it an hour later. It picks up from the exact WAL offset where it stopped — no re-snapshot, no data loss, no manual recovery.
No broker to babysit. No consumer group lag to monitor. No topic retention to tune. One binary does what Kafka + Debezium + a connector would — without the operational surface.
Logical replication reads the WAL after commits. No query overhead, no table locks, no polling your primary. Your database doesn't know nanosync exists.
From WAL commit to BigQuery insert in under 100ms. Most tools say "near real-time" and mean minutes. We mean milliseconds — benchmarked, not estimated.
Prove the latency. All sources and sinks included. Get started in minutes with no credit card.
Multi-node HA, RBAC + SSO, WASM transforms, schema drift approval, 90-day history, custom alerts. Self-hostable, air-gap ready.
The autonomous layer. Anomaly detection, natural language pipelines, self-tuning, PII masking, compliance packs, data catalog integration.