Extract, transform, and load.
Done well.
End-to-end extraction, transformation, and loading into your analytics warehouse — with dbt-powered transforms, automated scheduling, resumable syncs, and full operational visibility across all your sources.
Everything you need, nothing you don't
A focused feature set built for reliability over feature count.
Multi-source extraction
Connect to Salesforce, Shopify, Google Ads, Stripe, 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.
Automatic schema discovery
Detect tables, columns, primary keys, and data types automatically. No manual configuration for standard sources.
Encrypted credentials
All connector credentials are encrypted at rest with AES-256-GCM. OAuth tokens are refreshed automatically before each sync.
Incremental syncing
Track cursor positions and high-water marks to sync only new or changed data. Minimize warehouse costs and sync time.
Field mapping
Control which fields sync, rename columns, and map source types to destination types with per-pipeline overrides.
Destination auto-provisioning
Tables are created and updated automatically in your destination warehouse. Schema changes are detected and applied without manual intervention.
Scheduling & orchestration
Cron-based scheduling with deduplication. Manual runs, backfills with date ranges, and automatic retry on transient failures.
Observability & Alerts
Live visibility into every sync with actionable alerts when something needs attention.
Ease of Use
Simple setup, intuitive interface. No code required to configure and run pipelines.
Extensibility
Open connector framework — build custom integrations when your use case demands it.
Data Transformations
Define transforms with dbt alongside your pipelines. Model and shape your data with SQL-based logic — clean, tested, and version-controlled.
AI-Assisted Workflows
Early accessAI workflows are rolling out for pipeline setup, failure diagnostics, schema management, and anomaly detection. Designed to make pipelines easier to configure and faster to debug.
How data flows
A clean separation between control plane and data plane.
What happens during a sync
Built for these use cases
Common patterns where StreamFlows replaces fragile scripts and manual exports.
Analytics consolidation
Bring data from multiple sources into a single warehouse for unified reporting and cross-source queries.
Ad performance reporting
Sync Google Ads and Facebook Ads data alongside revenue to calculate true ROAS and build attribution models.
Marketing analytics
Combine HubSpot email data, Marketo campaigns, and ad metrics for a complete view of customer engagement.
Data warehouse migration
Move data between warehouses with automatic schema discovery, field mapping, and incremental syncs.
Ready to simplify your data pipelines?
Set up your first sync in minutes. No complex configuration required.