Hevo Data is a managed no-code data pipeline platform with over 150 connectors across SaaS applications, databases, and storage, billed by event — each row inserted, updated, or deleted at the destination.
Fully managed: pipelines are configured in the web UI, scheduled by the platform, and synced incrementally, with log-based CDC where the source allows and table mode otherwise. Transformations run drag-and-drop or Python before load, SQL and dbt models after. Billing counts events: one per row changed at the destination.
How Hevo Data answers the questions Batch ELT turns on.
| How it works | |
| Authoring model | No-code UI; Python escape hatch for transformations |
| Incremental sync | Log-based CDC where the source allows; otherwise table mode |
| Sync frequency | 30-minute floor by default; 5 minutes on Edge, via support |
| Schema drift | Auto Mapping; a new field appears on its first non-null value |
| Running it | |
| Scheduling | Built in: pipelines and models scheduled by the platform |
| Connections | |
| Source coverage | SaaS apps, databases, cloud storage, SDKs and streams |
| Destinations | Warehouses, lakehouses, databases and NoSQL targets |
| Custom connectors | REST API and webhook sources; vendor builds on request |
| Transformations | Drag-and-drop or Python before load; SQL and dbt models after |
| Cost | |
| Billing unit | Events: one per row inserted, updated or deleted at the destination |
vs Hevo Data: Source-available · Self-hosted · Managed · Hybrid · Operational complexity: High · Kotlin, Java, Python
vs Hevo Data: Open source (permissive) · Self-hosted · Managed · Python
vs Hevo Data: Source-available · Managed · Self-hosted · Hybrid · Batch · Streaming · Rust