Your data, where your
analytics need it
Extract from databases and SaaS APIs. Load into BigQuery. Reliable, resumable batch syncing with full operational visibility.
Built for reliability, not feature count
A focused ELT platform that does fewer things well. Extract and load — transforms happen downstream.
Multi-source extraction
Connect to Redshift, Klaviyo, Podium, Google Ads, Facebook Ads, and more. Unified connector interface with automatic schema discovery.
Resumable batch syncing
Checkpoint bookmarks per batch. If a sync fails, it picks up where it left off. No duplicate data, no missed rows.
Operational visibility
Structured logging with correlation IDs across every run. See exactly what happened, when, and why — down to the stream level.
Three steps to reliable data sync
No complex configuration. Connect, configure, sync.
Connect your source
Add a database or SaaS API. StreamFlows discovers your tables, fields, and data types automatically.
Configure your pipeline
Select streams, choose sync modes, map fields to your destination schema. Set a schedule or run manually.
Sync to your warehouse
Data flows into BigQuery via GCS staging. Resumable syncs, checkpoint bookmarks, and automatic retries.
Connect to the tools you already use
Databases, ad platforms, and marketing tools — all syncing to your warehouse.
Built for production workloads
Reliability guarantees that matter when your analytics depend on fresh data.
At-least-once delivery
Every row reaches its destination. Deduplication keys prevent duplicate runs.
Resumable syncs
Checkpoint bookmarks after every batch. Failures pick up where they left off.
Encrypted credentials
AES-256-GCM encryption at rest. OAuth tokens refresh automatically before each sync.
Automatic schema discovery
Tables, columns, primary keys, and data types detected automatically from your source.
Ready to consolidate your data?
Set up your first pipeline in minutes. Connect a source, pick your streams, and start syncing to BigQuery.