Fivetran
Dev Tools Verified May 2026
Automated data pipelines from 500+ sources to your warehouse
- 500+ pre-built connectors maintained by Fivetran — no pipeline code to write or maintain
- Automated schema change handling adapts when source systems change
- Incremental sync minimizes data transfer costs
- dbt integration makes transformations a first-class part of the pipeline
How Fivetran scored 59/100
6 weighted criteria, each scored out of 10 and published with its reasoning. Featured placements never move a score.
Deal Strength
3.0 /10There is no coupon and no exclusive rate — just the public free tier, which covers 500,000 monthly active rows so you can validate a pipeline before paying. That is access to a free plan, not money off.
Value for Money
5.0 /10Billing is usage-based on rows synced, with a free tier at the bottom. Costs are hard to predict and climb steeply at volume, though you are buying back engineering time — priced about where managed ELT normally sits.
Capability
8.0 /10Managed ELT with hundreds of prebuilt connectors, automatic schema mapping, deduplication, incremental sync, dbt integration and Hybrid Deployment for data that cannot leave your network. Connector breadth is its strongest card, with few real gaps.
Time to Value
8.0 /10Connect a source, point it at your warehouse and Fivetran builds the schema and backfills history for you. With the free tier you can have a working pipeline the same day, no engineering sprint required.
Trust & Reliability
8.0 /10Pfizer and NAB are among the enterprises running production pipelines on it, and connectors are maintained for you when source APIs change. Fivetran publishes no uptime SLA figure or independent review counts, so reliability rests on that track record.
Flexibility & Exit
5.0 /10Billing runs monthly on usage, with custom Enterprise contracts and annual pricing you can negotiate, which implies commitment. Cancellation terms and export specifics are not published, so confirm both before you standardise on it.
About Fivetran
Quick answer
Automated data pipelines from 500+ sources to your warehouse
Fivetran, in 30 seconds
Fivetran is managed ELT — it pulls data out of your SaaS apps, databases and event streams and lands it in your warehouse with the schema already mapped, deduped and incremental. You stop writing and maintaining ingestion pipelines and start arguing about transformation models instead. The trade is price: Fivetran bills on monthly active rows, and at scale it can become the most expensive line in your data stack.
How Fivetran actually works
You connect a source (Salesforce, Stripe, Postgres, Kafka, hundreds of others), point it at a destination warehouse (Snowflake, BigQuery, Databricks, Redshift), and Fivetran builds the schema, syncs historical data, and then keeps it in sync incrementally. dbt Core is integrated, so you can run transformations in the same tool. There is also Hybrid Deployment for teams that need the data plane to stay inside their own VPC for compliance reasons.
Pricing reality
Fivetran charges by Monthly Active Rows (MAR) with volume tiers across Free, Starter, Standard, Enterprise and Business Critical plans. The Free plan covers up to 500,000 MAR a month — useful for tiny teams or proof-of-concept work. After that, prices climb steeply: a typical mid-market connector portfolio (Salesforce, NetSuite, HubSpot, Stripe, a couple of databases) lands somewhere between 1,500 and 6,000 dollars a month, sometimes much more.
The line in the sand is whether the engineering time you save outweighs the bill. For most companies past Series A, it does. For seed-stage teams syncing a handful of small sources, Airbyte (open-source or Cloud) or hand-written Python jobs are still cheaper.
Fivetran vs the alternatives
| Tool | Strength | Weakness |
|---|---|---|
| Fivetran | Connector reliability, incremental sync, support | MAR-based bill grows with your data |
| Airbyte | Open source, cheaper at high volume | More edge-case maintenance, smaller support footprint |
| Stitch | Cheap, simple, owned by Talend/Qlik | Connector list and roadmap have stagnated |
| Hevo | Better unit economics for some volumes | Smaller connector library, less enterprise polish |
Buy if / skip if
Buy if you
- Have engineers who should be working on product and analytics, not maintaining connectors.
- Need connectors for awkward enterprise sources (NetSuite, SAP, Workday) where reliability really matters.
- Run a regulated workload and need Hybrid Deployment to keep customer data inside your VPC.
- Already pay for Snowflake, BigQuery or Databricks and are scaling analytics quickly.
Skip if you
- Have only a handful of small sources and a strong data engineer happy writing ingest in Python.
- Are very price-sensitive and your row counts are growing fast.
- Can self-host Airbyte and are comfortable patching the occasional connector.
What's included
- 500+ pre-built connectors reduce engineering lift
- Automatic schema detection prevents pipeline breaks
- Incremental sync reduces cloud warehouse costs
- Supports 6+ major cloud warehouses
- SaaSTweaks-verified affiliate deal
- Vendor-direct activation flow
- Editorial pros + cons review
- Tracked savings claim with refresh date
Fivetran pricing
Verified May 2026. Vendor's published rates at the time we checked — always confirm at checkout.
| Plan | Price | Term | What you get |
|---|---|---|---|
| Free | $0 | up to 500K Monthly Active Rows | Core connectors · 500K MAR/mo · Basic transformations · Community support |
| Starter | Usage-based | $0.35/MAR over free tier | All core connectors · Incremental sync · Priority support · dbt transformations |
| Standard | Usage-based | $0.40/MAR | Everything in Starter · Custom connectors · Column-level security · Role-based access |
| Enterprise | Custom | annual contract | Volume discounts · Unlimited MAR · Dedicated support · Custom SLA · SSO |
Getting started
4 steps. The last one is the part most people skip.
- 1
Open Fivetran through the link on this page
It carries our referral tag. The price you pay is identical either way, and it never changes the score on this page.
- 2
Compare the tiers against what you actually use
The pricing table on this page lists what each plan includes. Match it to real usage rather than the tier the vendor highlights.
- 3
Start on the smallest plan that fits
Most vendors let you move up mid-cycle and bill the difference, so starting low costs you nothing but starting high does.
- 4
Check the renewal terms before you commit
Note the renewal date and the rate it reverts to, so the second invoice is not a surprise. Annual plans are usually cheaper per month but harder to exit.
Where Fivetran wins and loses
What works
- 500+ pre-built connectors maintained by Fivetran — no pipeline code to write or maintain
- Automated schema change handling adapts when source systems change
- Incremental sync minimizes data transfer costs
- dbt integration makes transformations a first-class part of the pipeline
What doesn't
- Monthly Active Row pricing can escalate quickly for high-volume data sources
- Free tier 500K MAR limit hit quickly by moderately active tables
- No self-serve connector building — limited to Fivetran's connector catalog
- Connector quality varies — some have known limitations and sync delays
The bottom line
Fivetran is a highly capable, reliable managed ELT platform with a steep usage-based pricing model and an access-only free tier as its primary deal.
Yes — the Free plan covers up to 500,000 Monthly Active Rows a month with a limited connector set. It's genuinely useful for proofs of concept and small startups.
Airbyte wins on price and openness, particularly self-hosted. Fivetran wins on reliability, breadth of enterprise connectors and the amount of maintenance you don't do. Many teams use both — Fivetran for tier-one sources and Airbyte for the long tail.
Yes — log-based change data capture is supported for Postgres, MySQL, SQL Server, Oracle and others, with various log readers depending on your setup.
Hybrid Deployment lets the data plane run inside your VPC while Fivetran's control plane handles orchestration and metadata. This is what makes it acceptable in many regulated environments.
All the major ones: Snowflake, BigQuery, Databricks, Redshift, Synapse, plus Postgres and a few others. Lakehouse formats (Delta, Iceberg) on Databricks and BigQuery are first-class destinations.
Yes — dbt Core models can be scheduled and run from Fivetran Transformations. Heavier dbt Cloud-style needs (CI, semantic layer) still call for dbt Cloud separately.
