# Hevo Data

> No-code managed pipelines billed per row changed

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.

Website: https://hevodata.com

## Use it when

- The team wants pipelines configured in a UI, with a Python escape hatch rather than a codebase.
- Sources are the usual SaaS, database, and storage set; more than 150 connectors cover them.
- Change volume is modest, so per-event billing stays cheap.
- A real free tier matters: up to a million events a month across a subset of connectors.

## Think twice when

- Tables churn heavily; a bill counted per row inserted, updated, or deleted grows with change volume, a different shape from Fivetran's active rows or a flat fee.
- You need self-hosting or connector source access; Hevo is managed-only, where Airbyte can run in your own cluster.
- Sync frequency below 30 minutes is required; faster floors need the Edge plan.
- Enterprise-scale governance and ecosystem depth are the priority; Fivetran targets that end of the market.

## How it runs

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.

## Details

### General

| Attribute | Value |
| --- | --- |
| License | Commercial |
| Deployment | Managed |
| Workload | Batch |
| Operational complexity | Low |
| Pricing | Free, Subscription |
| Documentation | https://docs.hevodata.com |

### Batch ELT

| Attribute | Value |
| --- | --- |
| Authoring model | No-code UI; Python escape hatch for transformations |
| 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 |
| 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 |
| Transformations | Drag-and-drop or Python before load; SQL and dbt models after |
| Scheduling | Built in: pipelines and models scheduled by the platform |
| Billing unit | Events: one per row inserted, updated or deleted at the destination |

## Capabilities

- [Batch ELT](https://matca.io/capabilities/batch-elt)

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Source: https://matca.io/hevo-data
Last updated: 2026-08-31T11:40:48.418Z