Hooktopus

ETL

Hooktopus vs Fivetran.

Fivetran pulls. Hooktopus pushes. Webhooks are the opposite shape from their best work.

Hooktopus $19 · Fivetran (MAR-priced, 100k MARs) ~$500–$2k depending on connector

The honest version

When each tool is right.

Use Fivetran

When workflow flexibility matters more than per-event cost.

You're syncing Stripe historical data, your production Postgres, or your Salesforce instance into BigQuery on a 15-min schedule.

Use Hooktopus

When the job is webhook → BigQuery, full stop.

You need real-time webhook arrival — every event, every minute, never batched.

Feature by feature

What each tool ships.

FeatureHooktopusFivetran
Pricing modelTiered, $0–$299/moMAR (Monthly Active Rows) — opaque
Cost predictabilityExact, before signupDepends on row updates
Webhook ingestNative — primary modeNo — pull-only architecture
Latency to warehouseSeconds5–15 min sync windows
Pre-built connectors~30 via Hookdeck (webhooks)700+ (mostly APIs/DBs)
Best forWebhook-shaped sourcesAPI and database sources

The truth

Both tools can be right.

If your source has a stable API and you can poll, Fivetran is excellent. If your source pushes webhooks, you're paying for an architecture you can't use well.

What you get with Hooktopus

The opinionated short list.

Built for the analytics engineer

The buyer we serve is the AE who lives in dbt + BigQuery + Hex/Metabase. Our defaults match that shape.

Tiered, predictable pricing

Plan tiers, not metered. You always know your bill. Hard cap blocks writes but never loses events.

dbt-first, not dbt-bolt-on

Hooktopus generates the SQL and the sources YAML. It's the only competitor where dbt is part of the install, not the support docs.

Switch or evaluate

Migration takes about 15 minutes.

Start a free workspace, paste a Fivetran-compatible URL into your source, and check BigQuery. No migration tools required.