Ingest vs Fivetran
Fivetran syncs what its catalog covers, and your data team runs the rest. Ingest connects any source: AI agents build the connector in days, run it fully managed, and repair it when the API changes. Zero engineering on your side.
Side by side
The short version: Fivetran gives your team power tools. Ingest gives you the finished pipeline: built, run, and healed for you.
| Ingest | Fivetran | |
|---|---|---|
| How connectors get built | AI agents build any connector from the API docs. Live in days, then fully managed. | Fivetran engineers the catalog. Outside it, you build with their custom connector tooling or wait for the roadmap. |
| When an API changes | Agents watch every run and repair breakage, with the Ingest team behind them. Not your job. | Catalog connectors are Fivetran's job. Custom connectors are yours to fix. |
| Engineering required | None. You request sources and describe the tables you want. | A data team to operate the platform, destinations, and dbt. |
| Source coverage | Any source: catalog connectors plus agent-built connectors for niche SaaS, government data, and internal APIs. | Hundreds of pre-built connectors for widely used sources. |
| Transformations | Describe the table you want. Agents build it, check accuracy, and keep it refreshed. | dbt, operated by your team. Fivetran merged with dbt Labs in 2026. |
| Pricing shape | Per GB ingested. Estimate it from the size of your data before you connect anything. | Monthly Active Rows (MAR), billed per connection. Harder to estimate up front. |
| Where data lands | Open Iceberg tables in your warehouse or your own S3 bucket. Yours, queryable from any engine. | A wide range of supported destinations. |
Why teams pick Ingest
- Agents build any connector from the API docs, so coverage never ends at a catalog.
- Connectors are watched and repaired for you. API drift is not your problem anymore.
- Zero engineering: no platform to operate, no SDK, no pipeline code to own.
- Curated, accuracy-checked tables you can talk to, refreshed on your schedule.
- Per-GB pricing you can estimate from the size of your data.
Where Fivetran fits
- Every source you need sits in their catalog and you have a data team to run the rest of the stack.
- You need minute-level syncs and enterprise compliance tiers.
- You want to operate transformations yourself in dbt.
Agents do the pipeline work
The goal is any source to any destination, with agents doing the work in between: building the connector, running it, and repairing it. None of it lands on your team.
Built by agents
Point Ingest at the API docs. Agents handle auth, pagination, rate limits, and schema. No SDK, no YAML, no connector code to own.
Live in days
New connectors go from request to production in days, not quarters. The catalog is a head start, never a limit.
Watched every run
Every run is scheduled, monitored, and retried, with volume stats you can see. Silent failures are the old world.
Healed when APIs change
APIs drift. When something breaks, agents repair the connector, with the Ingest team behind them. Breakage is our problem, not yours.
FAQ
Is Ingest a Fivetran replacement?
For teams that want pipelines as a finished service, yes: Ingest covers popular sources and everything outside the catalog, with agents building new connectors on request. Fivetran remains a fine choice when every source you need is in its catalog and a data team runs your stack.
What does agent-built mean?
Point Ingest at a source. Agents read the API docs and build the connector: auth, pagination, rate limits, and schema. It goes live in days and then runs like every other connector: scheduled, monitored, and repaired when it breaks.
What happens when a source API changes?
Ingest notices, because every run is monitored. Agents repair the connector, with the Ingest team behind them, and the data keeps flowing. Your team does not write fixes.
How is per-GB pricing different from MAR?
Fivetran bills on Monthly Active Rows: the count of rows inserted or updated per connection each month, which is hard to know before you sync. GB ingested is just the size of your data. You can estimate it up front.
Do I need a data team to use Ingest?
No. Ingest lands clean, typed tables in your warehouse, and you describe the curated tables you want in plain language. Agents build them, check accuracy, and keep them refreshed.
See Ingest on your sources
Tell us the first connector you need. If it is not in the catalog, agents will build it.
Early AccessFivetran is a trademark of Fivetran, Inc. Ingest is not affiliated with or endorsed by Fivetran. Comparisons reflect each vendor's public documentation as of August 2026. If something here is out of date, tell us and we will fix it.