Fivetran alternative

The Fivetran alternative that
runs on your own stack.

rsync.ai moves the same data — real-time CDC, SaaS sources, warehouses — but self-hosted, source-available, and priced without per-MAR metering. Describe the pipeline in plain English; your rows never leave your network.

TL;DR

Fivetran is a fully-managed ELT SaaS billed by Monthly Active Rows, with closed-source connectors. rsync.ai is a source-available, self-hosted alternative: plain-English pipelines, real-time Postgres/MySQL CDC, AI-generated connectors for any API, and no per-row pricing. Best for teams who want cost predictability and data residency without giving up automation.

No per-MAR pricing — self-host or flat hosted plans
Data stays in your VPC — source-available, ELv2
Plain-English setup with human-in-the-loop approval
Real-time CDC for Postgres & MySQL, AI connectors for the rest

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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 — self-host for the cost of your own infrastructure, or pick a flat hosted plan.

Your data flows through their cloud

Fivetran's core is a managed SaaS, so by default your rows transit Fivetran-operated infrastructure. rsync.ai is self-hosted: the pipeline runs inside your VPC, and 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 source-available under the Elastic License 2.0 — read them, fork them, or regenerate them with the AI Tool Generator from any REST or GraphQL docs URL.

rsync.ai vs. Fivetran

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

Feature

rsync.aiyou

Fivetran

Plain-English / agentic pipeline setup

AI-generated connectors from any REST/GraphQL docs

Self-hosted — data never leaves your network

Source-available connector code (auditable)

No per-MAR / consumption-based pricing

Real-time log-based CDC (Postgres & MySQL)

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, data residency, and source-available control— and you'd rather generate a 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 connectors for PostgreSQL and MySQL (real-time CDC), Shopify, Google Sheets, and Amazon S3, with more in beta. 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 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. When you self-host, you pay only for your own infrastructure; the hosted app uses flat plans. The same pipeline that triggers a usage spike on Fivetran costs the same on rsync.ai whether it moves a thousand rows or a billion.

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

No. Fivetran's core product is a managed cloud service, so by default your rows are processed on Fivetran-operated infrastructure (its Hybrid Deployment option keeps processing in your environment, but that's a specific configuration). rsync.ai is self-hosted by design: you run the full stack with `docker compose up` inside your own VPC or data center. Source credentials, in-flight rows, and PII never leave your network.

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

It depends on the source. Databases (Postgres, MySQL) and Shopify are production-tested today; common SaaS sources like Stripe, HubSpot, GitHub, Slack, and Notion are in beta. For anything not yet built, the AI Tool Generator can create a connector from the API's docs URL, which covers most REST and GraphQL services. If your stack depends on a niche connector Fivetran already maintains, run both tools side by side during migration.

Is rsync.ai open source?

rsync.ai is source-available under the Elastic License 2.0. You can read, audit, modify, and self-host all of it for free — the only restriction is that you can't repackage it as a competing managed service. That's different from a permissive OSI license like MIT, but for an end user it means full transparency and the right to run and change the software on your own infrastructure.

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 and MySQL, 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.

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Also weighing the open-source route? See rsync.ai vs. Airbyte →