Coming soon — Data Migration Agent: agentic data migration, done in weeks, not months See how it works

BLUNOX DATA

Every database change, in your warehouse within a second.

Blunox Data Sync is real-time replication. It snapshots the tables you choose, then streams every insert, update and delete from the database log, with no triggers and no polling.

HOW IT WORKS

Connect, choose tables, start.

Set up a sync from the console. Data Sync runs the capture, the snapshot handover and the retries.

  1. 01

    Add two connections

    A source and a sink, each tested before you save. Credentials are Blunox-managed or your own.

  2. 02

    Pick tables and map columns

    Rename, drop, derive and fan in. Override a primary key where the source has none.

  3. 03

    Snapshot, then stream

    A parallel snapshot loads what is there, then the stream takes over from the log without a gap.

IN THE CONSOLE

Watch it run, and decide what it can’t.

Status, lag and run history for every sync, with alerts when something needs you. When the source changes shape, your policy decides: widen the sink, wait for approval, or stop.

  • Lag measured per sync, end to end
  • Run history, logs and exported metrics
  • Breaking schema changes held for approval
orders → analytics.orders
  1. Connected to Postgres through logical replication
  2. Snapshot loaded into BigQuery
  3. Streaming every insert, update and delete · lag 0.3s
  4. Column dropped on orders: breaking change heldNeeds you
source: postgres.orders · sink: bigquery.analytics.orders
CORRECTNESS

Built to land every change once.

  • Log-based capture

    Reads committed changes from the database log: logical decoding on Postgres, CDC on SQL Server, change streams on Spanner and MongoDB.

  • Replay from a checkpoint

    Idempotent writes at the sink plus replay from the last durable checkpoint. The docs state the delivery guarantee for each sink.

  • Schema changes on your terms

    Each change is classified. Widen the sink, hold it for approval, or fail the sync: you set the policy.

  • Managed, BYOC or air-gapped

    Run it on Blunox, or put the runner in your own cloud. Runners only make outbound connections.

  • Credentials kept safe

    Envelope-encrypted credentials, role-based access, tenant isolation and an audit log.

  • Re-snapshot on demand

    Start, stop and restart a sync, or re-snapshot a table, without rebuilding anything.

CONNECTORS

From the databases you run to the warehouse you use.

Sources

  • PostgreSQL
  • SQL Server
  • MySQL
  • MongoDB
  • Cloud Spanner
  • Elasticsearch
  • Amazon DynamoDB
  • Cloud Bigtable
  • Apache Kafka
  • Google Pub/Sub
  • Amazon S3
  • Google Cloud Storage

Sinks

  • Google BigQuery
  • ClickHouse
  • PostgreSQL
  • Cloud Spanner
  • AlloyDB
  • Cloud SQL for PostgreSQL
  • Apache Iceberg
  • Apache Kafka
  • Google Pub/Sub
  • Amazon S3
  • Google Cloud Storage
  • Azure Blob Storage
Every connector, field by field →

Stream your first table today.

Connect a database and a warehouse, and watch the snapshot hand over to the stream.