Fivetran alternatives: where to go, and how to switch without breaking your models
Seven tools matched to your reason for leaving, what pushed the bill up, and a seven-step migration plan.
The short answer: Airbyte for the broadest catalog and a free self-hosted option, Hevo for Fivetran-like simplicity with a public price list, Estuary for real-time database replication, dlt if your team writes Python, Matillion if transformation outweighs ingestion, Portable for niche long-tail sources in the US, Windsor.ai if you only move marketing data. Before you leave, know this: the jump in your bill often comes from one or two badly tuned connections. The 2025 and 2026 changes (per-connection tiers, a $5 minimum per connection, billable deletes) can be partly undone in settings. We compared these seven tools and read their official pricing pages in 2026.
Some links are affiliate links. The ranking is editorial: a sponsored spot is always labeled on its card, and no affiliate link changes a rating.
Why teams leave Fivetran even though it works
Fivetran's tech is not the problem. Users rate it 4.3 out of 5 in reviews, and its connectors handle schema changes well. What pushes teams out is the bill: its unit, its recent changes and the lack of guardrails. These six reasons come up again and again in public reviews and data engineering threads.
A bill you can't forecast
Fivetran bills monthly active rows (MAR): every distinct row inserted, updated or deleted in a calendar month counts once. Add a table, turn on history, and the bill moves without anyone deciding it. Per-tier rates are not published, so you see the result, not the rule.
Tiers per connection since 2025
Since 2025, volume discounts apply to each connection instead of the whole account. Fivetran says it is a price cut for the vast majority, but admits accounts with many similar-sized connections can pay more. A duplicate staging connection is counted separately too.
A $5 minimum per connection since 2026
Every standard connection generating between 1 and 1 million MAR a month pays at least $5 on Standard. Twenty small marketing connections means $100 a month before any real volume. Only a connection at zero MAR escapes it.
Deletes and history now billed
Since 2026, deletes count as paid MAR, and in history mode every repeated update counts. Users report sharp bill increases, sometimes after a single configuration slip.
No budget cap
You can't automatically pause a connection when it hits a spending limit. A full re-sync of a big table is billed, and reviewers describe waiting months for a credit after an incident. Some CDC tables can't even be deselected.
Connectors with gaps
Some connectors don't bring every field or object a source has. Teams end up maintaining a second homemade connector alongside, and pay twice for the same source.
You're leaving because… go to…
The right Fivetran alternative depends on what is pushing you out. Usually one line applies. Each card links to the full profile below.
Free self-hosted, or capacity-priced in the cloud.
You want the same simplicity at a known priceHevoPublic event tiers, free up to 1 million.
You need database data in secondsEstuaryContinuous CDC, priced per GB.
Your team writes PythondltFree library, the connector is your code.
Your sources are niche SaaS toolsPortableCustom long-tail connectors, US clients only.
You only move marketing dataWindsor.aiAds and analytics from $19 a month.
Seven Fivetran alternatives, and who each one fits
Each card covers why you would move to that tool, who it suits, who it doesn't, its main limit and how to migrate to it. Prices come from each vendor's official pricing page. We compared billing units one by one, because that is where the real difference hides: rows, events, gigabytes, capacity or compute time.
Airbyte: the broadest catalog, cloud or self-hosted
Default pickWhy move to Airbyte. It is the most cited Fivetran alternative, and the reason is simple: the largest open connector catalog plus a choice of how you run it. Airbyte Core is free to self-host. In the cloud, pricing follows the capacity you reserve rather than the rows that changed, and Airbyte pitches it as pricing that stays flat when volume spikes. That is the exact complaint most teams have about Fivetran.
Who it's for. Data teams who want out of row-based billing, and teams with an engineer comfortable running a service on Docker or Kubernetes for the free version.
Who it's not for. Teams that bought Fivetran so nobody would ever touch a pipeline. Self-hosted, breaking connector upgrades are applied by hand; skip them and the connection eventually stops working. The license bill disappears, the operations bill shows up.
Its limit. Schema change handling. When a source column changes type, Fivetran renames the old column and creates a widened one. Airbyte took years to ship automatic schema propagation. Check your least stable sources before switching.
How to migrate. Rebuild each connection into a fresh schema, never on top of the Fivetran tables. The _fivetran_synced and _fivetran_deleted columns go away and some names change, so put a compatibility view layer in place before you repoint dbt.
- Price
- Core free (self-hosted); Standard from $20/mo
- Plus
- $189 to $4,999/mo depending on credits
- Trial
- 14 days, no card
- Limit
- upkeep if self-hosted
Hevo: the closest to the Fivetran experience, with a public price list
Easiest switchWhy move to Hevo. Day to day, Hevo feels like Fivetran: fully managed, no code, pick a source and a destination. The difference is the price list, which is public and tiered by events. The free plan covers 1 million events a month (limited connectors, hourly syncs, 5 users). Starter is $299 a month, or $265 a month billed annually, for 5 to 50 million events. Professional is $849, or $750 annually, for 20 to 100 million.
Who it's for. Teams that want to leave Fivetran without changing how they work, and who would rather know their tier upfront than discover what each source did this month.
Who it's not for. Teams that manage pipelines as code with review and CI/CD; reviewers regularly flag the lack of GitOps. Very large volumes also get expensive at a per-event rate.
Its limit. An event is an insert, an update or a delete. A table that rewrites itself often burns through your tier, and overages are billed. The initial historical load can also consume events, so estimate it before you start.
How to migrate. Hevo offers a contract buyout eligibility check for an existing ETL contract. If you still have months left on a Fivetran commitment, ask before you sign. Then run both in parallel, connection by connection, starting with the least critical sources.
- Price
- Free 1M events; Starter $299/mo ($265 annually)
- Unit
- event (insert, update, delete)
- Trial
- 14 days, no card
- Limit
- costly on very active tables
Estuary: real-time CDC, priced per gigabyte
Real timeWhy move to Estuary. If you pay for Fivetran Enterprise mainly to get below 15-minute syncs, Estuary is built for continuous change data capture from your databases. The price fits on one line: $0.50 per GB moved, plus $100 a month per connector for the first six, then $50. The Developer plan is free with no card and no time limit, up to 10 GB a month and 2 connectors.
Who it's for. Teams replicating Postgres, MySQL or SQL Server into a warehouse that want data in seconds without paying for every update as an active row.
Who it's not for. Anyone with twenty small SaaS sources: at $100 per connector the bill climbs while the volume stays tiny.
Its limit. Volume is counted twice, on the way in and on the way out, so 100 GB from Postgres to Snowflake is billed as 200 GB. That case comes to roughly $250 to $300 a month depending on how the vendor calculates it, $200 of which is for the two connectors. Users also mention hard-to-read logs and a learning curve.
How to migrate. Use the 30-day trial to replicate your biggest database alongside Fivetran, then compare row counts table by table before cutting over.
- Price
- $0.50/GB + $100/mo per connector (first 6)
- Free
- 10 GB/mo, 2 connectors
- Trial
- 30 days
- Limit
- data billed in and out
dlt: Python pipelines with no license fee
For developersWhy move to dlt. dlt is not a platform. It is an Apache 2.0 Python library, free to use. You write pipelines as code, run them wherever you like (Airflow, a cron job, a serverless function) and pay only for compute. The connector is your code: a missing field is a one-line fix instead of a support ticket.
Who it's for. Teams with at least one data engineer at home in Python and a handful of well-known sources. One European company described its path publicly: Fivetran at tens of thousands a year, then Airbyte Cloud, then self-hosted Airbyte, and finally dlt, with the last migration done in five working days on a small stack.
Who it's not for. Teams without developers, or with forty SaaS sources to keep alive. You trade an invoice for maintenance time.
Its limit. You own everything: source API changes, retries, monitoring. The commercial dltHub offer exists but targets another budget: $12,000 a month with a 12-month minimum.
How to migrate. Start with one simple, high-volume source, the one that weighs most in MAR. Write the pipeline, load into a separate schema, compare, move on. Keep Fivetran on the complex connectors until you have time to rewrite them.
- Price
- free (Apache 2.0)
- Paid offer
- dltHub $12,000/mo, 12-month min.
- Best for
- Python-fluent teams
- Limit
- you maintain the code
Matillion: when transformation matters more than ingestion
TransformationWhy move to Matillion. Fivetran is an ingestion tool first, with transformation handled by dbt. Matillion starts at the other end: it builds heavy transformation pipelines inside your warehouse through a visual designer, and ingests too. You pay for pipeline execution time in credits, and you can buy it through the AWS, Azure and Snowflake marketplaces, which helps if you have cloud commit to burn.
Who it's for. Enterprise data teams that spend more time transforming than loading, and prefer a visual tool to a dbt project.
Who it's not for. A small team that only wants to copy SaaS data into BigQuery. It is too much tool for that job.
Its limit. Price visibility. The Developer (1 user), Teams (5 users) and Scale plans are listed without amounts, and the bill depends on compute time. Get your real workload priced during the free trial.
How to migrate. Keep your Fivetran connectors while you rebuild transformations in Matillion, then move ingestion source by source. It is the longest migration on this list.
- Price
- no public rates, billed on execution time
- Plans
- Developer, Teams, Scale
- Buy via
- AWS, Azure, Snowflake marketplaces
- Limit
- hard to forecast
Portable: long-tail connectors built for you
Long tailWhy move to Portable. The usual reason to keep Fivetran is that one niche source nobody else supports. Portable focuses on exactly that long tail, and its Pro offer includes custom connectors built on request. Pricing is a flat monthly fee, not rows.
Who it's for. US companies with many small, niche SaaS sources that the big catalogs cover badly or not at all.
Who it's not for. Anyone outside the United States: Portable only supports US-based clients. And small teams, since the entry price is a $1,800 monthly minimum.
Its limit. The floor. At $1,800 a month you need several painful sources to justify it; for two or three mainstream connectors, Hevo or Airbyte cost far less.
How to migrate. List the sources Fivetran covers poorly (missing fields, second homemade connector) and ask Portable to quote those first. Keep mainstream sources on a cheaper tool.
- Price
- $1,800/mo minimum
- Included
- custom connectors on Pro
- Availability
- US-based clients only
- Limit
- high entry price
Windsor.ai: marketing data from $19
MarketingWhy move to Windsor.ai. Plenty of Fivetran accounts exist only to pull ad platform and analytics data into BigQuery or Looker Studio. In Fivetran's own pricing example, Facebook Ads, GA4 and Google Ads already add up to $86.61 a month. Windsor.ai covers that job from $19 a month billed annually ($23 monthly), with a forever-free plan for one source and one account after a 30-day trial.
Who it's for. Marketing teams and agencies consolidating campaign data without a data engineer.
Who it's not for. Anyone replicating production databases. That is not what it does.
Its limit. Scope. Plans go up to $99 annually for Standard ($118 monthly), $299 for Plus and $598 for Professional. If you keep Fivetran for your databases, you run two tools.
How to migrate. Move the marketing connectors out of Fivetran first. They are often the ones paying the $5 minimum without carrying much volume. Connect them to Windsor.ai, rebuild your reports, then pause the Fivetran connections.
- Price
- Basic $19/mo annually ($23 monthly)
- Free
- 1 source, 1 account after trial
- Trial
- 30 days
- Limit
- no production databases
Fivetran and its alternatives compared
Watch the units: each tool counts something different. An active row on Fivetran, an event on Hevo, a gigabyte on Estuary, capacity on Airbyte, compute time on Matillion. A table updated ten times in a month counts once on Fivetran and ten times on Hevo. Always compare on your own usage, never on the entry price.
| Unit and entry price | What changes versus Fivetran | |
|---|---|---|
| FivetranStarting point | MAR; Free up to 500,000 MAR; $5 minimum per standard connection | 15-min syncs on Standard, 1-min on Enterprise |
| AirbyteOpen source or cloud | Core free; Standard from $20/mo; Plus $189 to $4,999 | Capacity pricing; you run it if self-hosted |
| HevoManaged | Events; free 1M; Starter $299/mo | Public tiers; every update counts |
| EstuaryReal time | $0.50/GB + $100/mo per connector | Continuous CDC; data billed in and out |
| dltPython code | Free (Apache 2.0) | No license; all code is yours to maintain |
| MatillionTransformation | Execution time, no public rates | Strong visual transformation; cloud marketplace billing |
| PortableLong tail | $1,800/mo minimum | Custom connectors; US clients only |
| Windsor.aiMarketing | Basic $19/mo annually; free 1 source | Ads and analytics only |
| StitchNot ranked | Standard from $100/mo; 14-day trial | Uncertain roadmap inside Qlik |
Entry prices as listed by each vendor in US dollars, subject to change. Fivetran does not publish its per-tier MAR rates.
Leave Fivetran in seven steps, without breaking a dashboard
An ELT migration is won or lost on history, column names and the dbt models reading your tables, not on the tool you pick. Plan two to eight weeks depending on the number of sources; a small stack can switch in a week.
Measure what costs money, connection by connection
FirstOpen Fivetran's usage tab and sort connections by MAR. Usually one or two connections (a CRM, an ad platform, a database) drive most of the bill. In Fivetran's own pricing example, Marketo alone is $424.54 of $511.15, more than 83% of the total.
Then clean up: drop tables nobody reads, and check which tables run in history mode. Since 2026, every repeated update there counts. Switching a table back to soft delete stops that. Sometimes this cleanup is enough and you no longer need to leave.
- Time
- half a day
- Output
- the connections to migrate first
Read your contract and its end date
MoneyOn an annual contract, unused commitment expires at the end of the term. Leaving mid-term does not refund it. Note the renewal date and aim to switch just before. The 2026 pricing changes apply at renewal for annual contracts, and from early 2026 for monthly accounts with no commitment, so renewal is a natural time to compare.
- Time
- one hour
- If missed
- a balance paid for nothing
Check every connector on the target
For each source, confirm the target has a connector that exposes the same objects and fields. Two connectors with the same name can expose different objects. Also write down the sync frequency you really need: entry plans sometimes sync only daily or hourly.
- Deliverable
- a source, objects, frequency sheet
Price the historical backfill
The first sync on the target re-reads all history. Fivetran does not bill that initial load; the target may (events on Hevo, gigabytes on Estuary). Estimate it before you press go.
Fivetran's history mode, which keeps every version of a row, cannot be recreated elsewhere for the past. Keep the Fivetran tables frozen and read-only as an archive.
- Trap
- paying for the backfill twice
Build a compatibility view layer
The _fivetran_synced and _fivetran_deleted columns disappear and some column names change. Instead of rewriting every dbt model, create views that expose the old names on top of the new tables. dbt packages written for Fivetran schemas will not work as-is on another tool, so list the ones you use.
- Tip
- one view schema per source
Run both tools in parallel
Must doLoad the target into a separate schema, run both tools for one to two weeks, then compare each table: row counts, sums of amounts, latest date. Fivetran gives 14 days of free usage on each new connection, not on the ones you keep, so the parallel run costs on both sides. Do it in batches of connections.
- Time
- 1 to 2 weeks per batch
- Checks
- rows, sums, latest date
Cut over, pause, then delete
Point dbt at the compatibility views, check dashboards, then pause the Fivetran connections. A connection with zero MAR in a month does not pay the $5 minimum. Delete them after a full clean cycle.
- Rule
- pause first, delete later
Is your tool missing from this page? Email us: hello@hackceleration.com
What makes a Fivetran exit go wrong
The same mistakes show up in data team write-ups. Few are technical. Most are about units, contracts and the order of operations.
Leaving before tuning Fivetran
If the jump comes from a table in history mode or a duplicate staging connection, fixing it takes an hour. A migration takes weeks. Clean up first, decide second.
Comparing different units
A MAR, an event and a gigabyte don't compare. Take one real month of usage per connection and recompute it in each target's unit.
Forgetting the backfill cost
Fivetran didn't bill the initial historical load. The target may. On a large database, that first load can outweigh several months of normal usage.
Overwriting the Fivetran tables
Loading the target into the same tables mixes two formats and destroys history mode data. Always a fresh schema, old tables kept as an archive.
Repointing dbt without compatibility views
Changing every model on cutover day is a reliable way to get empty dashboards. Views keep the old names and buy you time.
Underestimating self-hosting
A free tool you host needs upgrades, monitoring and retries. A team that left Fivetran to save time can lose it. For what happens after loading, see our n8n review or our ranking of automation platforms.
- MAR usage per connection is recorded
- The contract end date is noted
- Every source exists on the target with the same objects
- Backfill cost is estimated
- Compatibility views are ready
- Both tools ran in parallel and counts match
Fivetran alternatives: frequently asked questions
Why is Fivetran so expensive?
Because the bill follows monthly active rows, and three changes stacked up. In 2025, volume tiers moved from the account to each connection, so many mid-sized connections can pay more. In 2026, every active standard connection pays at least $5 a month, deletes count as paid MAR, and so do repeated updates in history mode. Check usage per connection: one or two usually explain the jump.
What is the cheapest Fivetran alternative?
On license cost, self-hosted Airbyte Core and dlt are free; you pay for servers and engineering time. On managed tools, Hevo's free plan covers 1 million events a month and Estuary's covers 10 GB. For marketing data only, Windsor.ai starts at $19 a month billed annually.
Is there an open source Fivetran alternative?
Yes: Airbyte (its Core edition) and dlt, an Apache 2.0 Python library. Meltano is a third, smaller open source option. Open source removes the license, not the work: upgrades, monitoring and broken connectors become yours.
Is Airbyte better than Fivetran?
Not better, different. Fivetran is more polished on schema changes and needs no operations. Airbyte wins on price (free self-hosted, capacity-based in the cloud) and on the freedom to patch a connector. If nobody on your team wants to run a service, a managed tool like Hevo fits better.
Is Fivetran ETL or ELT?
ELT. Fivetran extracts and loads raw data into your warehouse, and transformation happens there, usually in dbt. Since the Fivetran and dbt Labs merger closed in 2026, both pieces sit in the same company. Matillion is the alternative most focused on transformation.
Does Fivetran have a free plan?
Yes. The Free plan covers up to 500,000 MAR a month across your connections and 5,000 model runs, and the $5 per-connection minimum does not apply. Before migrating a small project, check whether it fits there.
Will my dbt models break if I leave Fivetran?
Yes, if you prepare nothing. Fivetran's system columns disappear, some names change, and dbt packages built for Fivetran schemas will not run as-is. A view layer that keeps the old names on top of the new tables lets models keep working while you adapt them.
What happens to unused Fivetran credits if I leave?
They expire at the end of the commitment term, with no carryover or refund. Time the switch for renewal and use the remaining months for the parallel run. If you want help planning it, our data agency can help plan the migration.
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