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Hevo Data

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.

LicenseCommercial
DeploymentManaged
PricingFreeSubscription
Operational complexityLow
WorkloadBatch

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

Compare

How Hevo Data answers the questions Batch ELT turns on.

Batch ELT
How it works
Authoring modelNo-code UI; Python escape hatch for transformations
Incremental syncLog-based CDC where the source allows; otherwise table mode
Sync frequency30-minute floor by default; 5 minutes on Edge, via support
Schema driftAuto Mapping; a new field appears on its first non-null value
Running it
SchedulingBuilt in: pipelines and models scheduled by the platform
Connections
Source coverageSaaS apps, databases, cloud storage, SDKs and streams
DestinationsWarehouses, lakehouses, databases and NoSQL targets
Custom connectorsREST API and webhook sources; vendor builds on request
TransformationsDrag-and-drop or Python before load; SQL and dbt models after
Cost
Billing unitEvents: one per row inserted, updated or deleted at the destination

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