ELT That Never Loses a Record

Fault-tolerant data pipelines with checkpointing. Resume from failures, never re-sync.

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terminal 
$ bizon run config.yml

INFO  Pipeline hubspot-to-bigquery started
INFO  Resuming from cursor: page 847 of 1,203
INFO  Loaded 10,000 contacts → bigquery (1.2s)
INFO  Checkpoint saved: page 857
...
✓ Synced 1.2M contacts | 42k rec/min | 0 failures

Simple, declarative pipelines

Define your entire pipeline in YAML. No boilerplate, no complexity.

config.yml 
name: hubspot-to-bigquery

source:
  name: hubspot
  stream: contacts
  sync_mode: incremental
  authentication:
    type: oauth

destination:
  name: bigquery
  config:
    project_id: my-project
    dataset_id: crm_data

engine:
  backend:
    name: postgres  # Checkpoint state
Sources →
Extract from APIs, databases, or Kafka
Destinations →
Load to BigQuery, warehouses, or files
Engine →
Checkpointing, queues, and runners

Why teams choose Bizon

Built for reliability, scale, and visibility—without forcing a specific queue or storage backend.

Checkpoint Recovery

Resume from the last checkpoint when things fail. No full restarts, no re-syncing millions of records.

High Throughput

Designed for billion-record pipelines with lean dependencies and efficient buffering.

Your Infrastructure

Queue agnostic (Kafka, RabbitMQ, Python Queue) with flexible backends (Postgres, BigQuery, SQLite).