Windsor.ai vs Fivetran: pricing, data sources, and a side-by-side test in Snowflake

✅ Flat plans from $19/mo, with no row limits. Fivetran bills each connection by its monthly active rows. ✅ Send data straight to Google Sheets, Excel, Data Studio, and Power BI, and to Tableau through Google Sheets. Fivetran's connections load warehouses, databases, and data lakes. Its Activations can then sync warehouse tables to apps, including Google Sheets. ✅ Same numbers in our Snowflake test. Windsor.ai and Fivetran loaded the same GA4 sessions and, with Fivetran filtered to web search, the same Search Console clicks. ✅ Claude and ChatGPT on every plan, and they can make changes in Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, and more. ✅ Free forever plan, no credit card.
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Windsor.ai vs Fivetran: feature comparison

Feature
Logo Windsor
Windsor.ai
fivetran logo
Fivetran
Starting price
Logo Windsor$19/moBasic, billed annually ($23 billed monthly): 3 data sources, 75 accounts, and 5 destination tasks
fivetran logo$5 plus $495 per million rowsPer connection on Standard, up to 1 million rows a month
Pricing model
Logo WindsorTiered plansYour plan sets the number of sources and accounts. No plan has row or data volume limits. Your invoice is the plan price
fivetran logoUsage basedEach connection has its own price curve, and rows from different connections cannot be combined for a lower rate. The rate per row falls as a connection grows
Supported data sources
Warehouses and databases
Logo Windsor✅ Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, MySQL, Azure SQL, and more
fivetran logo✅ Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, MySQL, SQL Server, and moreSee Fivetran destinations
BI tools and spreadsheets
Logo Windsor✅ Google Sheets, Data Studio, Excel, Power BI, and moreTableau through Google Sheets
fivetran logoNo direct load from sourcesActivations can sync warehouse tables to Google Sheets. BI tools read from your warehouse
Transformations
Logo WindsorField selection, filters, and custom metricsNo SQL or Python steps. You can run dbt in your warehouse after the load, with dbt packages for Facebook Ads and Salesforce on BigQuery
fivetran logo✅ dbt Core integration5,000 free model runs a month (pricing)
Database replication
Logo WindsorPostgreSQL, MySQL, MongoDB, and Supabase sourcesNo log-based change data capture. Scheduled syncs pull new and updated records where supported
fivetran logo✅ Log-based capture for PostgreSQLEnterprise database connectors from the Enterprise plan
Sending warehouse data to business apps (reverse ETL)
Logo WindsorPartlyNo dedicated reverse ETL tool. BigQuery, Snowflake, and Redshift can be sources, so warehouse tables can go to Google Sheets or Airtable on a schedule. Claude and ChatGPT can make changes in ad platforms with write actions. For syncing tables into a CRM, our ETL and ELT guide names Census and Hightouch
fivetran logo✅ Activations200+ destinations, billed by monthly active rows
Claude and ChatGPT
Logo Windsor✅ Listed in Claude's connector directory and ChatGPT's plugin directoryReads your connected sources directly, on every plan, with no warehouse needed
fivetran logoAgent Context MCP (public preview)In Claude's connector directory and can be added to ChatGPT. Needs a Context Layer on a paid plan, with Snowflake, BigQuery, or Databricks in North America. A separate self-hosted server manages Fivetran connections
Write actions from Claude or ChatGPT
Logo Windsor✅ Meta Ads, Google Ads, TikTok Ads, LinkedIn Ads, Microsoft Ads, and moreSee the full list of write actions
fivetran logoNone in ad platformsIn the docs we checked. The self-hosted server can change Fivetran settings if you turn on write access
Fastest scheduled sync to warehouses
Logo WindsorDaily on Basic, hourly from StandardEvery 15 minutes on Professional
fivetran logo✅ Every 15 minutes on StandardEvery minute on Enterprise
Free plan
Logo Windsor✅ Free forever plan, no credit card1 user, 1 source, 1 account, and 30 days of history
fivetran logo✅ 500,000 monthly active rowsAcross your connections, with Standard plan features

Windsor.ai vs Fivetran: what three example setups cost

  • GA4, Search Console, and Google Ads
  • One account each
  • No data warehouse

You choose...

check
Windsor.ai
The Basic plan sends all three sources to Google Sheets or Data Studio for $23/mo billed monthly ($19 billed annually).
cross
Fivetran
Fivetran can't load these sources straight into Sheets or Data Studio. You would load a warehouse first, then use Activations for Sheets or point Data Studio at the warehouse. The three connections can stay on its Free plan under 500,000 monthly active rows, and Activations under 3,500. You pay for the warehouse.
starKey benefit

Add up to 72 more accounts on the same platforms (75 minus 3) without changing plan.

  • Google Ads, Meta Ads, GA4, LinkedIn Ads, and TikTok Ads
  • 40 client accounts across the five platforms
  • Hourly syncs to BigQuery

You choose...

check
Windsor.ai
Standard covers 7 sources and 75 accounts with hourly scheduled syncs to warehouses and Sheets for $118/mo billed monthly ($99 billed annually), whatever the row count.
cross
Fivetran
About $396/mo on Standard list rates, with one connection per platform and 150,000 monthly active rows each (about $309/mo with the annual discount of up to 22%). At 1 million rows per connection, about $2,500/mo. If each client account needs its own connection, the same rows cost about $571/mo and $2,675/mo.
starKey benefit

Add 35 more client accounts (75 minus 40) at the same price.

  • Meta Ads, GA4, and Google Ads, about 145,000 monthly active rows in total
  • PostgreSQL replication and dbt models in the same pipeline tool
  • No need for Sheets or AI assistants on the marketing data

You choose...

cross
Windsor.ai
Basic costs $23/mo billed monthly ($19 billed annually) for the three marketing sources. Adding PostgreSQL as a fourth source moves you to Standard at $118/mo ($99 billed annually). You can run dbt in your warehouse after the load. There is no log-based change data capture for PostgreSQL.
check
Fivetran
$0 on the Free plan while the account, PostgreSQL included, stays under 500,000 monthly active rows and 5,000 model runs a month. On Standard, Fivetran's published medians for these three sources add up to about $87/mo, before PostgreSQL. Go over a Free limit in two months out of twelve and you lose the Free plan.
starKey benefit

One tool for the marketing sources, PostgreSQL replication, and dbt models.

Windsor.ai and Fivetran side by side in Snowflake

We connected both tools to the same Snowflake account. On 2 November 2026, we loaded the same five GA4 fields with both tools: sessions and engaged sessions by day, channel, and source. For Search Console, we compared Windsor.ai’s daily clicks with Fivetran’s prebuilt site report. Windsor.ai’s tasks were set up on 30 October and Fivetran’s on 2 November.

Each tool wrote to its own schemas and signed in as the same service user with a key pair. We compared 1 to 28 October 2026, the range of Windsor.ai’s task. Fivetran’s default is 12 months.

Windsor.ai ran on our Enterprise plan, and Fivetran on the free account trial it gives new accounts, which runs on its Business Critical plan. The plan does not change the data either tool loads. This was our first time using Fivetran, and we use Windsor.ai daily.

Test 1: Do the GA4 numbers match?

We added up sessions and engaged sessions for two weeks and worked out the bounce rate (the share of sessions that were not engaged) from each tool’s table.

For 14 to 20 October, each tool’s table held 58 rows with 1,093 sessions and a 78.59% bounce rate. For 21 to 27 October, each held 53 rows with 1,055 sessions and a 76.97% bounce rate.

Snowflake query result with one row per week and tool: Fivetran and Windsor.ai both show 1,093 sessions, 234 engaged sessions, a 78.59% bounce rate, and 58 rows for 14 to 20 October 2026, and 1,055 sessions, 243 engaged sessions, 76.97%, and 53 rows for 21 to 27 October. Captured 2 November 2026.

Test 2: Joining Search Console and GA4 in SQL

We joined each tool’s Search Console clicks to its GA4 sessions from Google organic search, day by day, and flagged days where clicks and sessions differed by more than 20% of sessions.

With Fivetran filtered to web search, both tools returned the same clicks and sessions on every day from 1 to 28 October. Both flagged the same three days, 7, 11, and 20 October, with the same gaps, which shows both tools produce the same join.

Fivetran’s Search Console table splits each day by search type, country, and device. We had to filter to web search to match. Without that filter, image clicks raised the daily total by 1 on 6 of the 28 days. Windsor.ai’s task has no search type field, and its table matched web search clicks on all 28 days. In a separate query through the Windsor.ai connector, adding the search type field returned image clicks too (1 each on the same 6 days as Fivetran). We did not rerun the Snowflake task with that field.

Snowflake query result for 1 to 28 October 2026 with clicks, Google organic sessions, and the gap as a percentage of sessions for Windsor.ai and Fivetran side by side. The two tools show the same values on every day. The gap is more than 20% of sessions on 7 October (30.9%), 11 October (32.8%), and 20 October (37.5%). Captured 2 November 2026.

Test 3: Setup, reload, and cost

We ran each load a second time, then checked for duplicate rows and worked out the cost.

  • Snowflake connection: Fivetran saves the destination once, and every connection reuses it. We uploaded the key file for each Windsor.ai task.
  • Default tables: Fivetran’s GA4 connection selected 50 prebuilt reports, 56 tables in all, and its Search Console connection selected 13. We kept one table on each, because each table you sync can add to your monthly active rows. Windsor.ai loaded only the fields we picked.
  • Custom report: our GA4 report appeared in Fivetran’s table list after we refreshed the schema.
  • First load: at its 12-month setting, Fivetran loaded all the site had, from March 2026: 1,060 GA4 rows and 11,074 Search Console rows. The successful initial syncs took 26 seconds (GA4) and 1 minute 13 seconds (Search Console), each after one automatic reschedule.
  • Second run: neither tool created duplicates. Fivetran’s second sync updated 19 GA4 rows and 174 Search Console rows, and both row counts stayed the same. Windsor.ai reloaded its fixed range, and its row counts stayed at 208 and 28. Both tools still had one row per key when we counted.
  • Run times: Windsor.ai’s second runs took about 8 seconds from Run now to the table load. Fivetran’s second syncs took 19 and 13 seconds. This is not a speed result, because the two clocks measure different things.
  • Cost: initial syncs are free on Fivetran, and new connections get a 14-day free period. After that, a month like October (226 GA4 rows and 2,029 Search Console rows) would stay inside Fivetran’s Free plan. On Standard, it would cost about $11 to $12.50/mo, mostly the $5 base charge per connection. The higher figure allows for rows Fivetran fetches again from the previous month: its GA4 connection rolls back 30 days by default, and Fivetran counts those rows as new for the month. On Windsor.ai, the two sources fit in Basic at $19/mo billed annually ($23 billed monthly). For this small site, Fivetran costs less.

We did not time the setups. We also did not test Fivetran’s Agent Context MCP, because its Context Layer needs a destination in North America and ours is in the EU.

Two Fivetran sync logs for 2 November 2026. GA4: initial sync of 1,060 rows in 26 seconds after a rescheduled first attempt, then a manual sync of 19 rows. Search Console: initial sync of 11,074 rows in 1 minute 13 seconds after a rescheduled first attempt, then a manual sync of 174 rows. The user name is blurred. Captured 2 November 2026.

Snowflake table list showing all four test tables last loaded on 2 November 2026: Fivetran GA_4_SESSIONS with 1,060 rows and SITE_REPORT_BY_SITE with 11,074 rows, and Windsor.ai GA4_SESSIONS with 208 rows and GSC_DAILY with 28 rows. Captured 2 November 2026.

How G2 reviewers rate Windsor.ai and Fivetran

  • Meets Requirements: Windsor.ai 8.8, Fivetran 8.6
  • Ease of Use: Windsor.ai 8.2, Fivetran 9.0
  • Ease of Setup: Windsor.ai 8.1, Fivetran 9.0
  • Ease of Admin: Windsor.ai 8.6, Fivetran 8.8
  • Quality of Support: Windsor.ai 8.9, Fivetran 8.5
  • Good Partner in Doing Business: Windsor.ai 9.2, Fivetran 8.6
  • Product Direction: Windsor.ai 9.2, Fivetran 8.3

Windsor.ai has 4.4 stars from 90 G2 reviews, and Fivetran has 4.3 from 855. G2 reviewers rate Fivetran higher for ease of use, setup, and admin, and Windsor.ai higher in the other four categories. Reviewers report a return on investment after 6 months with Windsor.ai and 12 months with Fivetran, from 12 and 53 responses. Reviewers of both tools report implementation in 1 month, from 16 and 67 responses.

See the G2 comparison of Fivetran and Windsor.ai

G2 comparison page, checked 2 November 2026.

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About Windsor.ai

Windsor.ai has no-code connectors that pull data from 350+ marketing, sales, CRM, e-commerce, and accounting apps. You can send that data to Claude, ChatGPT, spreadsheets, BI tools, and data warehouses, and schedule syncs to keep warehouses and Sheets up to date.

About this comparison

Windsor.ai publishes this page, and we sell one of the two tools compared here. We know Windsor.ai better than Fivetran. On 2 November 2026, we ran the tests above on one GA4 property and its Search Console site, with both tools loading into one Snowflake account. The same day, we checked G2’s comparison page, both pricing pages (windsor.ai/pricing and fivetran.com/pricing), and Fivetran’s consumption table and docs. Check both pricing pages again before you buy, because plans change.

Our customer success stories

All Data Sources
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Facebook Ads
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LinkedIn Page
Shopify
Amazon SP
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Google Analytics 4
Bing Ads
LinkedIn Ads
Google Search Ads 360
Google DV360
Campaign Manager 360
Apple Search Ads
Adjust
Taboola
Branch
Instagram
X
Pinterest Ads
Criteo
Datadog
Google Sheets Connector
TikTok Organic
Facebook Page Insights
Zoho CRM
Yahoo Japan
Salesforce
CJ Affiliate
Amazon Seller Central
Reddit Ads
Google Search Console
Omnisend
SendGrid
Rakuten
Commission Factory
Outbrain
Mailchimp
Adobe Analytics
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Data sources:
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How Ranking Online saves €21,600 per year on reporting and optimizes lead-gen campaigns in real time with Windsor.ai + Claude

Saved per year on reporting

€21,600

Hours saved per week

15+
Data sources:
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Destinations:
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How Grain Group built an AI-ready data stack and reduced BigQuery costs by 90% after switching from Supermetrics to Windsor.ai.

Reduced BigQuery cloud compute costs by

90%

Saved hours of manual historical data reconciliation

up to 40
Data sources:
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Destinations:
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How The Wanamaker Project replaced Funnel.io with Windsor.ai to build a scalable ELT pipeline for Google Sheets and BigQuery while avoiding a 400% forced price increase.

Prevented an unexpected connector plan price hike

400%

Automated daily reporting in Google Sheets across multiple accounts

30+
Data sources:
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Destinations:
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How Omnicom Media Group Hong Kong replaced Supermetrics with Windsor.ai to accelerate omnichannel reporting through Google-native pipelines.

Annual budget saved after migrating from Supermetrics’ premium connectors

$36K+

Hours saved per week by automating data extraction and retiring CSV- and script-based workflows

40+
Data sources:
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Destinations:
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How Kueski replaced fragmented, manual reporting with Windsor.ai’s automated data integration into BigQuery and improved attribution accuracy with algorithmic MTA.

Hours saved per week from manual data gathering and reporting

15+

Created a single source of truth in BigQuery for all marketing channels

14+
Data sources:
logologologologologo
Destinations:
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How kreativkarussell replaced fragmented, manual reporting processes with a scalable, automated data pipeline by implementing Windsor.ai's native Looker Studio connectors.

Hours saved per week from manual data aggregation, transformation, and reporting

25+

Refresh interval for Looker Studio dashboards fed automatically from multiple platforms

12 hrs
Data sources:
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Destinations:
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How a Finnish digital agency connected all its marketing and CRM data into a single BigQuery warehouse and real-time Tableau dashboards with Windsor.ai.

Connected several data sources in a single BigQuery project

5

Reduced reporting time through a fully automated ELT pipeline by

80%
Data sources:
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Destinations:
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How a renowned resort company in the Asia Pacific region boosted ROI by uncovering the hidden power of upper-funnel media channels with Windsor.ai.

Data-backed media allocation increased ROI by

28%

Ad channels connected for cross-platform insights

5+
Data sources:
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Destinations:
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How a global retail giant centralized web and app data across all stores to automate reporting, boost productivity, and enhance campaign performance.

Unified distributed marketing data from global stores

1647

Hours of manual work saved every week

40+
Data sources:
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Destinations:
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How a Danish engineering giant boosted marketing ROI by unifying media, analytics, and CRM touchpoints in a centralized BigQuery data warehouse and Power BI dashboards using Windsor.ai ELT platform.

Understanding CRM revenue contribution down to a keyword and ad level helped to increase the ROI by

35%

Aggregated data from multiple marketing channels and business tools

5+
Data sources:
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Destinations:
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How a British loudspeaker manufacturer boosted ROI by aligning media costs with revenue across all channels using Windsor.ai data integration software.

Connecting marketing costs to attributed revenue across channels helped boost ROAS by

32%

Identifying ineffective campaigns and reallocating budgets to high-performing channels reduced waste by

79%
Data sources:
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Destinations:
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How an Australian Google Premier Partner integrated performance marketing and CRM data using Windsor.ai to cut cost per opportunity and drive more qualified leads for clients.

Decreased the CPA of clients’ campaigns by

19%

Cut time spent on media reporting and optimization by

50%
Data sources:
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Destinations:
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How iProspect connected CRM and analytics data with Windsor.ai to unlock full-funnel attribution and cut reporting time in half.

Got operational savings just two weeks after deployment, equal to

1 FTE

Reduced manual data aggregation, transformation, and reporting tasks by over

50%
Data sources:
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Destinations:
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How one of Indonesia’s top coffee e-commerce brands unified all marketing data using Windsor.ai to achieve complete transparency into ad spend and performance.

Reduced time spent on manual data integration and reporting by over

50%

Improved conversion tracking accuracy by

85%
Data sources:
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Destinations:
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How the global leader in creative media education used Windsor.ai to connect analytics and CRM data to map the full customer journey, reducing cost per enrollment and boosting lead volume.

Reduced cost per enrolment by

22%

Increased lead volume by

25%
Data sources:
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Destinations:
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How a popular Swiss credit card issuer unified siloed marketing data and cut the cost per lead by half with Windsor.ai data connectors.

Optimized cost per lead by

47%

Unified all marketing spend and performance data

100%
Data sources:
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Destinations:
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How a leading Singaporean ISP maximized ROI by accurately evaluating channel efficiency and reallocating budget to top-performing campaigns with Windsor.ai.

Increased the number of signups by more than

45%

Reduced the overall cost per signup by

48%
Data sources:
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Destinations:
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How the maker of the original Swiss Army Knife connected all their marketing data with Windsor.ai, cutting wasted spend and boosting global sales.

Gained full ROI visibility across multiple channels

5+

Return on ad spend has increased by

67%
Data sources:
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Destinations:
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How a global school brand connected cross-channel data using Windsor.ai and more than doubled student online applications in just one year.

The quality of leads increased in the range of

21-28%

The annual number of student applications grew

2x
Data sources:
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Destinations:
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How a popular German home improvement online shop used Windsor.ai to integrate multi-channel data for product-level ROAS measurement and data-driven budget optimization across EU markets.

Unified ROAS view across multiple marketing channels

6+

Reduced manual time spent calculating true ROAS by

25%
Data sources:
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Destinations:
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How Windsor.ai helped a global investment firm unify cross-channel data, eliminate attribution bias, and reduce cost per acquisition through centralized, real-time marketing analytics.

Reduced overall marketing CPA by

41%

Automated data refresh latency minimized to

1 hr
Data sources:
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Destinations:
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How comprehensive data integration through Windsor.ai empowered a top Swiss culinary brand to optimize marketing ROI by over 16%.

Data-driven insights increased ROI by

16%

End-to-end ELT pipeline that automatically syncs cross-channel data every

12 hrs
Data sources:
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Destinations:
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How a top Swiss car importer unified CRM and web analytics data with Windsor.ai, eliminating data silos and unlocking cross-channel insights.

Unified fragmented data from multiple platforms

5+

Cut attribution reporting time by

60%
Data sources:
logologologologo
Destinations:
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How a global online travel agency group unified affiliate marketing data streams and streamlined financial reporting using Windsor.ai data integration platform.

Unified all affiliate data sources

100%

Reduced reporting workload by

60%

FAQs

Why choose Windsor.ai over Fivetran?

Windsor.ai fits marketing teams that want their ad, analytics, and SEO data in Google Sheets, Data Studio, Power BI, Claude, or ChatGPT, as well as in a warehouse. Its plan price also stays the same when your row count grows.

Try Windsor.ai free on your own accounts

Free forever plan, no credit card. Paid plans from $19/mo. To see the setup first, read how to send marketing data to Snowflake or how to connect your marketing data to Claude.

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