What it sells
The leader in automated data movement
Business model breakdown
Buyer: who owns the budget?
UnverifiedData/analytics engineering leaders and IT/data platform teams (Contact Sales for Enterprise).
Trigger: what makes them buy now?
UnverifiedNeed to feed analytics and AI/ML with centralized data without engineers maintaining pipelines; cloud/SAP modernization.
Workflow: what inputs become what output?
Pick source connector, authorize, choose destination, automated schema-managed syncs (1 to 15 min), optional dbt-style transformations, then push warehouse data back to business tools.
Economics: what it saves and how it charges
Usage-based on monthly active rows (MAR) and model runs; claims annual contract saves up to 22%; customer claims e.g. NAB cut data costs 50%, Okta saved 1,000 engineering hours.
Distribution: how it reaches customers
Self-serve free plan signup plus Contact Sales for enterprise; cloud partners (AWS, Databricks, BigQuery, Azure, Snowflake).
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Winter 2013 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.