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Fivetran alternative

The Fivetran alternative
without per-MAR pricing.

rsync.ai moves the same data — real-time CDC and SaaS sources — but described in plain English and priced without per-MAR metering. Live on rsync.ai Cloud today; want data residency? Self-host in your own VPC (coming soon).

TL;DR

Fivetran is a fully-managed ELT SaaS billed by Monthly Active Rows, with closed-source connectors. rsync.ai is the plain-English alternative — live as a managed cloud today: pipelines you approve step by step, real-time Postgres/MySQL CDC, generated connectors for any API, and no per-row pricing. Self-hosting in your own VPC (source-available, ELv2) arrives soon, for teams who also need data residency.

  • No per-MAR pricing — start free on a flat plan
  • Plain-English setup with human-in-the-loop approval
  • Real-time CDC for Postgres & MySQL, AI MCP connectors for the rest
  • Self-host in your own VPC — coming soon
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Why teams look for a Fivetran alternative

Three reasons data teams move off Fivetran — and how rsync.ai answers each.

Per-MAR pricing that spikes without warning

Fivetran bills by Monthly Active Rows. A backfill, a chatty source, or a schema change can multiply your bill overnight. rsync.ai has no per-row or per-MAR metering — start free on a flat hosted plan today, or self-host for the cost of your own infrastructure (coming soon).

Cost predictability without lock-in

Fivetran's per-MAR billing makes spend hard to forecast, and its connectors are closed. rsync.ai Cloud gives you flat, predictable pricing today — and soon you'll be able to self-host the whole stack in your own VPC, so source credentials and data never leave your network.

Closed-source connectors you can't audit

When a Fivetran connector misbehaves, you file a ticket. rsync.ai connectors are generated by the AI Tool Generator from any REST or GraphQL docs URL — regenerate one any time — and the connector code will be source-available under the Elastic License 2.0 to read or fork when self-hosting ships (coming soon).

rsync.ai vs. Fivetran

An honest, side-by-side look — including where Fivetran is still ahead.

Featurersync.aiyouFivetran
Plain-English setup, you approve each step
AI-generated MCP connectors from any REST/GraphQL docs
Self-host in your own VPC (coming soon)
Source-available connector code (coming soon)
No per-MAR / consumption-based pricing
Real-time log-based CDC (Postgres, MySQL, SQL Server, MongoDB)
PII detection: mask / hash / drop before write
Human-in-the-loop approval before deploy
Hundreds of pre-built managed connectors
Fully-managed, zero-ops SaaS

When Fivetran is still the right call

We'll be straight with you: if you need hundreds of fully-managed connectors live today, or a zero-ops SaaS where someone else owns every upgrade and on-call rotation, Fivetran is the mature choice and we'd tell you so. rsync.ai is the better fit when you want predictable cost today, with data residency and source-available controlcoming soon — and you'd rather generate an MCP connector from an API's docs in minutes than wait on a vendor roadmap. Plenty of teams run both: rsync.ai for the sources they want in-network, Fivetran for the long tail.

Fivetran alternative — frequently asked

Is rsync.ai a drop-in Fivetran alternative?

For the core ELT and CDC use cases — replicating databases and SaaS sources into a warehouse, lake, or another database — yes. rsync.ai covers verified MCP connectors for PostgreSQL, MySQL, SQL Server, and MongoDB (real-time CDC), Shopify, Google Sheets, Amazon S3, and the BigQuery and Databricks warehouses, with Stripe and GitHub in preview. Where Fivetran is ahead is raw catalog size: it maintains hundreds of managed connectors. rsync.ai closes that gap differently — its AI Tool Generator builds a working MCP connector from any REST or GraphQL API's documentation URL, so you're not blocked waiting for a vendor to add a source.

How does rsync.ai pricing compare to Fivetran's per-MAR model?

Fivetran bills by Monthly Active Rows (MAR) — every unique row touched in a month — which makes costs hard to predict and prone to spikes during backfills or high-churn syncs. rsync.ai has no per-row or per-MAR charge: you're billed on data volume moved (GB) — a monthly GB allowance plus a flat per-GB rate beyond it, starting with a free month (10 GB included) — and pipelines pause at your cap instead of running up a surprise bill. When you self-host (coming soon), you pay only for your own infrastructure.

Does my data leave my network like it does with Fivetran's SaaS?

Today rsync.ai runs as a managed cloud, like Fivetran — but with flat pricing and plain-English setup. The difference comes when self-hosting ships: you'll run the full stack with `docker compose up` inside your own VPC or data center, so source credentials, in-flight rows, and PII never leave your network. If in-network processing is a hard requirement now, request a demo and we'll talk through timing.

Can rsync.ai handle the connectors I rely on in Fivetran?

It depends on the source. Databases (Postgres, MySQL, SQL Server, MongoDB) and Shopify are production-tested today, along with the BigQuery and Databricks warehouses; Stripe and GitHub are in preview. For anything not yet built, the AI Tool Generator can create an MCP connector from the API's docs URL, which covers most REST and GraphQL services. (Fivetran's own AI Connector Agent, in beta, does this for REST APIs too — narrower in scope and newer than rsync.ai's generator.) If your stack depends on a niche connector Fivetran already maintains, run both tools side by side during migration.

What license is rsync.ai?

rsync.ai will be source-available under the Elastic License 2.0 — the only restriction is that you can't repackage it as a competing managed service. The source-available code and the right to run it on your own infrastructure land with self-hosting soon; until then, rsync.ai Cloud is live and free to start.

How hard is it to migrate from Fivetran to rsync.ai?

The usual path: point rsync.ai at the same sources and destinations, describe each pipeline in plain English, and run it in parallel with your existing Fivetran syncs. Because rsync.ai uses log-based CDC for Postgres, MySQL, SQL Server, and MongoDB, the initial snapshot plus change stream mirrors how Fivetran captures data, so the destination tables line up. Once you've validated that row counts match, cut over and pause the Fivetran connector.

Try the Fivetran alternative that keeps your data home.

Start free on rsync.ai Cloud today — self-host the whole stack in your own VPC (coming soon).

Start freeBrowse connectors

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