Fivetran is the go-to tool for moving data into warehouses. Thousands of companies use it to centralize data from SaaS apps, databases, and APIs into Snowflake, BigQuery, or Redshift.
But here's what most marketers discover too late: building Fivetran → Snowflake → dbt → Looker just to see which campaigns drive pipeline takes months and costs thousands per month.
If your goal is simply "I want to see which campaigns are driving deals in my CRM," you don't need a data warehouse. You need a tool that connects your ads to your CRM directly.
What Is Fivetran?
Fivetran is an automated ELT (Extract, Load, Transform) platform. It moves data from source systems into data warehouses—handling schema changes, API rate limits, and sync management without engineering maintenance.
With 700+ connectors—including Google Ads, LinkedIn Ads, Meta Ads, Salesforce, and HubSpot—Fivetran is the default choice for data teams building centralized analytics infrastructure.
Who Actually Needs Fivetran
Data engineering teams
building company-wide analytics
Analytics engineers
who need all business data in one warehouse
Companies combining marketing + finance + product data
for unified reporting
Who Probably Doesn't Need Fivetran
Marketers who want to see campaign performance in their CRM
Teams without data engineers
to build and maintain the stack
Anyone who needs answers in days, not months
The Problem: You Want Answers, Fivetran Gives You Infrastructure
Let's be honest about what happens when a marketer says "I want to see which Google Ads campaigns are driving our Salesforce pipeline."
The Fivetran approach:
Sign up for Fivetran ($100-2,000/mo)
Set up a data warehouse like Snowflake ($100-3,000/mo)
Configure connectors for Google Ads, Salesforce, website data
Hire or allocate a data engineer to model the data
Build transformation layers with dbt
Figure out how to connect anonymous website visitors to CRM contacts
Create dashboards in Looker or Tableau ($100-2,000/mo)
Maintain everything as sources change
Timeline: 3-6 months Cost: $1,000-25,000/month (tools + engineering)
What you get: A data platform you now have to maintain
What you actually wanted: To see which campaigns drive pipeline.
Fivetran's Real Costs for Marketing Data
The Tool Costs
Building a marketing data stack requires multiple paid tools:
Fivetran
— Marketing data is high-volume (ad-level, keyword-level data), pushing costs toward the higher end of their pricing tiers
Data warehouse
(Snowflake/BigQuery/Redshift) — Storage and compute costs scale with data volume
Transformation layer
(dbt Cloud) — Optional but common for modeling
BI tool
(Looker/Tableau/Metabase) — Required to actually see dashboards
For current pricing, check each vendor's website directly: Fivetran Pricing, Snowflake Pricing, Looker Pricing.
The Hidden Cost: Engineering Time
Beyond tool costs, the data stack requires ongoing engineering:
Pipeline maintenance
— Handling schema changes, sync failures, API updates
Data modeling
— Building the tables and transformations you actually need
Identity resolution
— Connecting anonymous visitors to CRM contacts (the hard part)
Dashboard development
— Building and maintaining the reports you want
This often requires 60-120+ engineering hours per month—a significant ongoing investment.
Total Cost of Ownership
When you add tool costs plus engineering time, building a marketing data stack can cost significantly more than purpose-built solutions—and takes 3-6 months before you see any results.
See what users say about Fivetran costs on G2 and Capterra.
The March 2025 Pricing Change Made It Worse
Fivetran now calculates MAR (Monthly Active Rows) per connector instead of workspace-wide. This increased costs 40-70% for multi-connector setups.
Marketing data is particularly expensive because:
Ad data is high-volume
— Keyword and ad-level data generates millions of rows
Multiple platforms
— Google + Meta + LinkedIn = 3x the charges
Frequent updates
— Daily syncs mean constant row activity
Users report that marketing data:with its high row counts from ad-level and keyword-level granularity—can drive significantly higher costs under this new model. See user discussions on G2 for real-world pricing experiences.
The Harder Problem: Connecting Visitors to CRM Contacts
Here's what Fivetran doesn't do: identity resolution.
Your Google Ads data shows clicks. Your Salesforce data shows deals. But how do you connect them?
Fivetran moves data exactly as it exists. It doesn't:
Connect anonymous website visitors to CRM contacts
Track which companies visited your site before becoming leads
Stitch the journey from ad click → website visit → form fill → deal
You need to build all of this yourself. That's the 20-40 hours/month of engineering time in the table above.
When You Actually Need Fivetran
Fivetran makes sense when:
✅ You're building company-wide analytics (marketing + finance + product + ops)
✅ You have data engineers to build and maintain the stack
✅ You need complete customization over your data models
✅ You're already invested in a warehouse and BI stack
✅ Marketing data is just one piece of a larger analytics platform
When You Don't Need Fivetran
You probably don't need Fivetran when:
❌ Your main question is "which campaigns drive pipeline"
❌ You don't have (or want) a data warehouse
❌ You don't have data engineering resources
❌ You need answers in days, not months
❌ You want to see campaign performance in your CRM—that's it
Top 5 Fivetran Alternatives in 2026
Tool | Best For | Pricing Model |
Spectacle | Seeing which campaigns drive your CRM pipeline—no warehouse needed | Predictable subscription |
Airbyte | Teams who need data pipelines but want open-source flexibility | Free (self-hosted) or cloud |
Funnel.io | Agencies aggregating data from 50+ client ad accounts | Flexpoint-based |
Hightouch | Teams with warehouses who want to push data back to tools | Tiered subscription |
Stitch | Simpler, cheaper pipelines for basic use cases | Volume-based |
1. Spectacle — See Which Campaigns Drive Your CRM Pipeline
If you just want to know what's working—which campaigns, keywords, and ads are actually driving deals in your CRM—you don't need to build a data stack. Spectacle connects your ads to your CRM directly and shows you what's driving pipeline.
What Spectacle Actually Does
Connects your ad platforms to your CRM:
Google Ads
→ See which campaigns, keywords, and ads drive Salesforce/HubSpot pipeline
LinkedIn Ads
→ See which campaigns drive deals, including impressions (not just clicks)
Meta Ads
→ Connect Facebook/Instagram campaigns to CRM opportunities
Microsoft Ads
→ Track search ads through to closed deals
Shows campaign performance where it matters—in revenue:
Connect to
Stripe, Chargebee, or Recurly
to see actual subscription revenue, not just "conversions"
See which campaigns drive real paying customers, not just form fills
Identifies companies on your site:
Lens
reveals which companies are browsing your site—even before they fill out a form
See when target accounts from your ad campaigns visit your pricing page
Works with your CRM:
Native
HubSpot
and
Salesforce
integration
See campaign data alongside your deals and pipeline
Why Marketers Choose Spectacle Over Building a Data Stack
Building with Fivetran | Using Spectacle |
3-6 months to first insights | Days to see what's working |
Multiple tools + engineering time | Predictable monthly pricing |
Need data engineers to build and maintain | No engineering required |
Need warehouse + transformation + BI tools | No warehouse, no BI tool |
Build identity resolution yourself | Built-in: connects ads → visits → CRM |
Ongoing maintenance forever | Just works |
What Spectacle Doesn't Do
Let's be clear about what Spectacle isn't:
Not a general data warehouse
— If you need marketing + finance + product data combined, you need Fivetran
Not for e-commerce
— Built for B2B, PLG,SLG and B2C with longer sales cycles and could leverage CRM-based sales
Not 600+ connectors
— Focused integrations that go deep, not broad
When to Choose Spectacle
Choose Spectacle if:
You want to see which campaigns drive CRM pipeline
You don't have (or don't want) a data warehouse
You need answers in days, not months
You want to connect ads to revenue without building infrastructure
Choose Fivetran if:
You're building company-wide analytics beyond marketing
You have data engineers to build and maintain
You need complete customization
Marketing is one piece of a larger data platform
See how Spectacle works — connect your ads and CRM in minutes, not months.
2. Airbyte — Open-Source Data Pipelines
If you genuinely need data pipelines but want more control than Fivetran, Airbyte is the leading open-source alternative.
What Airbyte Does Well
Open-source
— Run free on your own infrastructure
400+ connectors
— Covers most SaaS apps and databases
Predictable pricing
— Capacity-based, not MAR
Full control
— No vendor lock-in
The Trade-off
20-40 hours/month maintenance
— You're trading cost for engineering time
Still just data movement
— You still need to build everything on top
Connector quality varies
— Community connectors may be less reliable
Pricing
Airbyte offers a free self-hosted option, with cloud pricing based on data volume. See Airbyte Pricing for current rates.
When to Choose Airbyte
Airbyte makes sense if you need general data pipelines, have engineering resources, and want to reduce costs vs. Fivetran. But for seeing campaign performance in your CRM, you still need to build everything on top.
3. Funnel.io — Marketing Data Aggregation
Funnel.io is a marketing data hub that aggregates data from 600+ ad platforms, analytics tools, and CRMs.
What Funnel.io Does Well
600+ marketing connectors
— Deepest coverage in the space
Data normalization
— Harmonizes metrics across platforms automatically
No-code modeling
— Clean data without SQL
Flexible exports
— Send to warehouses or BI tools
The Trade-off
Flexpoint pricing can be confusing
— Users report needing to monitor usage carefully. See
for user experiences
Still need BI tools
— Funnel aggregates data; you build reports on top
No CRM connection
— Doesn't connect campaigns to pipeline/revenue
No free tier
— Minimum commitment required
Pricing
Funnel.io uses a flexpoint-based pricing model. See Funnel.io Pricing for current rates.
When to Choose Funnel.io
Funnel.io is right for agencies managing 50+ client data sources who need normalized exports. For seeing campaign performance in your CRM, it's only part of the solution.
4. Hightouch — Reverse ETL
Hightouch solves the opposite problem: getting data out of your warehouse and into tools like ad platforms and CRMs.
What Hightouch Does Well
Reverse ETL leader
— Sync data from warehouse to 250+ destinations
Audience activation
— Push segments to Google, Meta, LinkedIn, Salesforce
Fast setup
— 20 minutes to first sync
The Trade-off
Assumes you have a warehouse
— You need Fivetran (or similar) first
Doesn't analyze data
— Moves it, doesn't tell you what's working
Pricing
Hightouch offers a free tier with paid plans for additional features. See Hightouch Pricing for current rates.
When to Choose Hightouch
Hightouch is right if you already have marketing data in a warehouse and want to activate it. It complements Fivetran rather than replacing it.
5. Stitch — Budget-Friendly Pipelines
Stitch is a simpler, lower-cost alternative to Fivetran for basic data integration.
What Stitch Does Well
More affordable
— Generally lower cost than Fivetran for similar use cases
Simple setup
— Less complex than Fivetran
100+ connectors
— Covers major sources
The Trade-off
Fewer connectors
— May not have niche sources
Less enterprise features
— Limited governance and support
Still just data movement
— You build analytics on top
Pricing
Stitch offers volume-based pricing, typically lower than Fivetran for similar data volumes. See Stitch Pricing for current rates.
When to Choose Stitch
Stitch is right for smaller teams who need basic pipelines at lower cost. But like Fivetran, it's infrastructure—not insights.
The Real Question: Do You Need a Data Platform or an Answer?
If you're building a data platform — combining marketing, finance, product, and operations data for company-wide analytics — then yes, consider Fivetran. Budget 3-6 months and significant ongoing costs for tools and engineering.
If you just want to see which campaigns drive your CRM pipeline — you don't need a data platform. You need a tool that connects your ads to your CRM and shows you what's working.
That's what Spectacle does. No warehouse. No data engineers. No months of setup.
Just connect your ad platforms and CRM, and see which campaigns actually drive pipeline and revenue.
Try Spectacle free or book a demo to see the difference.
FAQs
Do I need a data warehouse to see which campaigns drive pipeline? No. Tools like Spectacle connect your ad platforms directly to your CRM and show you campaign performance without requiring a warehouse, BI tool, or data engineering resources.
How much does Fivetran cost for marketing data? Marketing data can be expensive in Fivetran due to high row volumes from ad-level and keyword-level data. Add warehouse costs, BI tools, and engineering time, and the total cost of ownership can be significant. See Fivetran Pricing and user experiences on G2 for real-world perspectives.
What's the fastest way to see ad performance in my CRM? Spectacle connects in minutes and shows you which campaigns drive HubSpot or Salesforce pipeline. No warehouse setup, no data modeling, no months of implementation.
Can I connect Google Ads to Salesforce without Fivetran? Yes. Spectacle connects Google Ads (and LinkedIn, Meta, Microsoft) directly to Salesforce and HubSpot, showing you which campaigns, keywords, and ads drive deals—without building a data stack.
Is Fivetran worth it for marketing analytics? Fivetran is worth it if you're building company-wide analytics infrastructure and have data engineering resources. For marketers who just want to see campaign performance in their CRM, purpose-built tools are faster and more cost-effective.