Fivetran vs Supermetrics
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentFivetran compared with Supermetrics
Overlapping on marketing sources but built for different buyers. Supermetrics specializes in marketing and advertising data with strong spreadsheet and dashboard destinations, priced for marketing teams. Fivetran is general-purpose infrastructure aimed at data teams loading warehouses. Marketing analysts often prefer Supermetrics for ad platform reporting; data teams standardizing every source prefer Fivetran.
Choose Fivetran if
Data teams that need business-critical pipelines from major SaaS sources and databases to simply work, and would rather pay a premium than staff pipeline maintenance.
Choose Supermetrics if
Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves.
Side by side
13 attributes| Attribute | Fivetran | Supermetrics |
|---|---|---|
| Category | CDP | Analytics |
| Starting price | Free for up to around 500,000 monthly active rows; paid usage from roughly $500 per month at modest volumes (free plan available) | €49 per month (Starter), or €39 per month billed yearly (free plan available) |
| Pricing model | Consumption pricing based on monthly active rows, the count of unique rows inserted, updated, or deleted in a billing month, with per-row rates declining at volume. Free tier for small usage; enterprise agreements quoted annually. | Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees. |
| Free plan | Around 500,000 monthly active rows across connectors | None; the trial is the evaluation path. |
| Free trial | 14-day full-feature trial plus a permanent free tier | 14 days, no credit card required |
| Best for | Data teams that need business-critical pipelines from major SaaS sources and databases to simply work, and would rather pay a premium than staff pipeline maintenance. | Marketing agencies producing recurring client reports, in-house teams who live in Google Sheets or Looker Studio, and any business that wants marketing data in a warehouse without building and maintaining API connectors themselves. |
| Setup time | A connector takes minutes to configure. Initial historical backfills can take hours to days depending on volume, and a complete warehouse foundation including modelling takes weeks. | An hour for a first working report: authorise the sources, install the destination connector, define a query, and schedule the refresh. A full agency reporting template across a dozen clients is a week of design work, most of it in the destination rather than in Supermetrics. |
| Learning curve | Low for the tool itself, which is much of the point. The real learning is downstream: understanding each connector's normalized schema well enough to model it correctly. | Low if you can already build a spreadsheet or a Looker Studio report, since the Supermetrics part is choosing metrics, dimensions, and date ranges. The real skill required is knowing which metric from which platform means what, and that is a marketing analytics skill rather than a product one. |
| Platforms | Cloud service, Hybrid and private deployment options, Terraform provider, REST API | Google Sheets add-on, Looker Studio connectors, Excel and Power BI connectors, Cloud data warehouse destinations, Web hub at hub.supermetrics.com |
| Compliance | GDPR, CCPA, SOC 2 Type II, ISO 27001, HIPAA, PCI DSS on qualifying plans | GDPR, SOC 2, ISO 27001, EU-based company and processing |
| Founded | 2012 | 2013 |
| Headquarters | Oakland, California, United States | Helsinki, Finland |
| Ownership | Private, venture-backed | Venture-backed; privately held and profitable |
Strengths and limitations
Fivetran
Strengths
- Reliability is genuinely the product, and it delivers: schema changes and API updates are handled without operator involvement.
- Documented, stable normalized schemas make downstream modelling predictable.
- Pre-built dbt packages for major sources save weeks of modelling on common systems.
- Log-based change data capture for databases with minimal source impact.
Limitations
- Monthly active row pricing is hard to forecast and escalates in ways that surprise buyers.
- Connector catalogue is narrower than open-source alternatives, particularly in the long tail.
- Little flexibility when a connector's normalization does not match how you want the data shaped.
- Data passes through the vendor unless a private deployment is arranged, which matters for some residency requirements.
Supermetrics
Strengths
- The largest and best-maintained marketing connector library in the category, with the vendor fixing connectors when platforms change their APIs rather than leaving your report broken.
- No data volume fees on any package, so cost is decoupled from how much you spend on ads or how much traffic you get.
- Destination-agnostic by design, so you keep Sheets, Looker Studio, Power BI, or your warehouse rather than being pushed into another vendor's dashboard.
- Warehouse destinations and transformation tooling turn it into a genuine marketing data pipeline rather than just a reporting connector.
Limitations
- It does no attribution whatsoever: the numbers it delivers are each platform's self-reported claims, so double-counting flows straight through into your report unchallenged.
- Accounts-per-source allowances are the real constraint for agencies, and they are hit far sooner than the data source counts suggest.
- Seat counts are low at one, two, and three users, with additional seats costing €37 to €124 a month each.
- One core destination per self-serve plan means teams wanting both a spreadsheet and a BI dashboard need to check whether that is an add-on.
Pricing compared
Fivetran
Consumption pricing based on monthly active rows, the count of unique rows inserted, updated, or deleted in a billing month, with per-row rates declining at volume. Free tier for small usage; enterprise agreements quoted annually.
- Free$0
- Standard and EnterpriseConsumption-based, commonly from several hundred dollars
- Business CriticalQuoted
Fivetran is expensive and the case for it is straightforward arithmetic: if pipeline maintenance consumes a meaningful fraction of a data engineer's time, the subscription is cheaper than the salary, and it is far cheaper than a business decision made on stale data because a job failed silently. Where the arithmetic fails is breadth: syncing many marginal sources at high change rates produces bills disproportionate to the value of that data. The mature pattern is Fivetran for pipelines that matter and something cheaper for the rest.
Supermetrics
Subscription tiered by the number of connected data sources, accounts per source, user seats, and refresh frequency, with one core destination per self-serve plan and explicitly no data volume fees.
- Starter€49
- Growth€199
- Pro€499
- EnterpriseCustom
Judged against the labour it replaces, Supermetrics is easy to justify: €199 a month is a fraction of the cost of the two or three days a month an agency currently spends assembling reports by hand, and the maintained connectors mean nobody has to fix a broken API integration on a Sunday. The absence of data volume fees is a real structural advantage over dashboard tools that meter usage. What makes the pricing feel expensive is the allowance structure: low seat counts, one core destination, and accounts-per-source ceilings that agencies hit quickly, all of which push a genuinely small team from €49 to €199 faster than the tier list suggests. Price your actual account count before comparing against Databox, and be clear that you are buying plumbing rather than answers.
Editorial verdict on each
Fivetran
Fivetran sells the disappearance of a problem, and it delivers on that better than anything else in the category: connectors that survive API changes, schemas that stay documented, and failures that resolve without anyone being paged. For pipelines the business depends on, that reliability is worth the premium, and the pre-built dbt packages meaningfully shorten the path from raw tables to usable models. The unavoidable objection is the meter. Monthly active rows track change rate rather than value, which makes forecasting hard and makes broad coverage of marginal sources expensive. The sensible posture is selective: put the pipelines that matter on Fivetran, put the rest somewhere cheaper, and review consumption by connector every quarter rather than at renewal.
Read the full Fivetran profileSupermetrics
Supermetrics is infrastructure, and the right way to judge it is by the labour it removes rather than the features it lists. If your team currently loses days each month exporting from Meta, Google, LinkedIn, and GA4 into a template, €199 a month buys those days back and hands connector maintenance to someone else, with no data volume fees so your bill does not grow with your ad spend. The connector library is the deepest in the category and the company is the most established, which matters when a platform changes an API on a Friday. Two things to be clear about before buying: this does no attribution at all, so it faithfully reproduces the double-counted conversion numbers the ad platforms report, and the allowance structure around accounts per source and seats will push a small agency from €49 to €199 faster than the price list implies. Buy it as plumbing, pair it with an attribution tool if you need answers rather than numbers, and compare it directly against Databox if what you actually want is a dashboard.
Read the full Supermetrics profileFivetran profile last reviewed 2026-08-22; Supermetrics last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.