The Fivetran alternative
with a bill you can predict

Fivetran's Standard plan works out to $500 per million monthly active rows, and every worked example on its pricing page divides out to that rate. Each connection is metered on its own curve, and connections producing between 1 and 1 million rows carry a $5 minimum charge. So 8 sources totalling 10 million rows a month comes to roughly $4,700, before reverse ETL, which is billed separately at around $200 per destination. The calculator on this page estimates your own figure.

It depends on volume, but the saving comes from the pricing model rather than a discount. A team running 8 sources and 10 million monthly active rows would pay around $4,700 on Fivetran Standard and $719 on Weld Premium, roughly 85% less, with reverse ETL, orchestration and lineage included rather than billed on top. Savings shrink at very low volumes, where Fivetran's free plan or metered pricing can be cheaper than a flat tier.

It depends on what pushed you off Fivetran. Weld is the closest like for like replacement for teams that want one platform and a flat bill: a modular agentic data platform with 300+ connectors, log based CDC, reverse ETL, lineage, orchestration for dbt, Coalesce, SQLMesh and Cube, plus an internal agent, an MCP server and a full API, from $99 a month. Airbyte suits teams that want open source and self hosting. Stitch and Hevo are cheaper on simple ingestion but thinner on transformations and activation. Matillion and Rivery target enterprise teams with dedicated data engineers.

Yes. Weld is a modular agentic data platform: an internal agent is built into the product, and an MCP server and a full API let your own agents and tools run Weld, from creating syncs to triggering models. Each module, from ingestion and transformations to orchestration and reverse ETL, works on its own or together, and orchestration runs dbt, Coalesce, SQLMesh and Cube alongside your syncs.

Yes, and our team does the work at no cost. Weld is reverse compatible with existing Fivetran destination schemas, so the dbt models, dashboards and reports built on top of them keep working. We recreate your connectors and transformations, run both stacks in parallel, and you cut over once the row counts and metrics reconcile.

No. Fivetran publishes 700+ connectors, Weld has 300+, all built and maintained in house rather than through a community catalogue. The count matters less than the coverage, so the practical check is whether the sources you replicate today are on the list. If one is missing you can build it against any API with Weld's custom connector support.

Yes. Migrating from Fivetran is free: our team maps every connector you run, rebuilds it in Weld with the same schemas and table names, runs both side by side and helps you cut over once the numbers match. Beyond the migration, Weld has forward deployed engineers who know the wider data stack, from dbt, Coalesce and SQLMesh to Snowflake, BigQuery and Databricks, and can help you design, build and tune it.