Full disclosure before we start: this is the Mammoth blog. We make one of the tools on this list, and yes, we put ourselves at number one. We’ll also tell you exactly when not to pick us, which is more than most of these roundups will do for you. Deal?
Good. Let’s talk about why you’re here.
You probably didn’t always want to leave Supermetrics. It connected your ad accounts, dropped the numbers into a sheet, and for a while that felt like magic. Then something changed. Maybe the bill. Maybe the fourth time a connector quietly broke and nobody told you. Maybe the realization that you’re still cleaning data by hand at 7pm.
Whatever it was, you’re shopping. Here are the 10 best Supermetrics alternatives in 2026, ranked, priced, and judged honestly.
The 10 Best Supermetrics Alternatives at a Glance (Comparison Table)
Here’s the whole list in one view, so you can find your answer fast. The detailed breakdown of each tool is right below it.
Tool | Transformation? | Pricing from | Best for |
|---|---|---|---|
Mammoth | Yes, full no-code | Free, then $249/mo | Messy data + reporting in one place |
Improvado | Yes, advanced | Custom | Enterprise marketing teams |
Funnel.io | Some | Free tier available | Mid-market collection |
Adverity | Yes, advanced | Custom | Big orgs with data teams |
Windsor.ai | Light | Free, then ~$19/mo | Budget warehouse pipes |
Coupler.io | Light | Low-cost tiers | Sheets-first reporting |
Porter | Light | SMB tiers | Looker Studio / SMBs |
Dataslayer | Minimal | Budget tiers | Cheap PPC reporting |
Whatagraph | Limited | Mid-market tiers | Agency client reports |
Fivetran | After load (dbt) | Usage-based, free tier | Data engineers |
Key Takeaways
- Supermetrics is great at moving data and bad at cleaning it. It extracts and loads. It doesn’t transform. That gap is why most people leave.
- The pricing stacks. Each destination is a separate subscription, extra users and connectors cost more, and the total creeps up fast.
- The right alternative depends on your real problem. Need cheaper pipes? Go connector-tier. Need to fix messy data and build reports without living in spreadsheets? Go platform-tier.
- Our pick for best overall is Mammoth, because it does the part Supermetrics skips: the transformation. (We’re biased. We also think we’re right.)
Why People Leave Supermetrics: 4 Common Reasons
Let’s be specific, because “it’s expensive” is lazy and you deserve better.
The bill grows legs. Supermetrics charges by destination. Want your data in Looker Studio and Google Sheets? That’s two subscriptions. Need a second teammate to log in? More money. Another connector? You get the idea. Supermetrics’ own pricing starts around $39 a month and climbs from there, and the climb is the whole story. Extra users run $39 to $79 a month. Extra connector accounts run $29 to $49. It’s death by a thousand line items.
It won’t clean your data. This is the big one. Supermetrics is a fantastic delivery truck. It is not a kitchen. It drops raw data at your door exactly as the platform gave it to you, which means you’re still the one matching “Facebook” to “facebook,” fixing currencies, and blending sources by hand. Companies spend a scary amount of their analytics time just cleaning data, and Supermetrics doesn’t touch that work.
The connectors break. Ask anyone who’s run it for a year. APIs change, connections fail, and sometimes the data just stops refreshing without so much as a heads-up. When your Monday report is built on Friday’s silently-stale data, trust evaporates.
You hit the spreadsheet ceiling. Supermetrics is happiest piping into a sheet. That’s fine until your data outgrows the sheet, your team outgrows manual reporting, and you need real data transformation and governance. Then you’re stuck.
Every tool below fixes at least one of those. The best ones fix all four.
EL vs ETL: The Difference That Sorts This Whole List
Quick concept, because it splits the entire market into two buckets.
Supermetrics does EL: Extract and Load. It pulls data from the source and dumps it into your destination, untouched.
The real platforms do ETL: Extract, Transform, Load. They pull the data, then clean and blend and standardize it, then load something that’s ready to use. The Transform step is the one Supermetrics skips, and it’s the one that eats your evenings.
If you want the longer version, we wrote a whole piece on ETL vs API for data integration. The short version: connector tools save you from copy-paste. Platform tools save you from the spreadsheet entirely. Keep that split in mind as you read, because it’s the difference between “cheaper Supermetrics” and “you’ll never build a manual report again.”
1. Mammoth: Best Supermetrics Alternative Overall
Here’s our pitch, and then the honest caveat.
Mammoth is the tool for people whose real problem isn’t getting the data, it’s everything that happens after. You connect your sources, and then you transform them: clean, blend, harmonize, dedupe, reshape, all without code and without exporting to a spreadsheet. Then you build dashboards on top, in the same place. It’s the kitchen, not just the truck.
That’s why it’s at number one. Supermetrics hands you raw ingredients. Mammoth hands you the finished meal.
Key features
- 25+ no-code transforms, available on every plan including the free one. You’re not paying extra to clean your own data.
- A real transformation layer with AI Insights and a Data Quality Score that flags problems before they wreck your report.
- Dashboards built in, with unlimited viewers on every tier. Nobody pays per person just to look at a chart.
- Handles serious scale. One customer (Starbucks) runs over a billion rows a month across 17 countries on it.
- File, web, JSON, and standard database connectors on the free plan; cloud warehouses (Snowflake, BigQuery, Databricks) on Pro.
Limitations
- If all you want is to pipe raw numbers into a Google Sheet and never touch them again, Mammoth is more than you need. A pure connector will be cheaper and that’s genuinely fine. We earn our keep when the data needs work.
- It’s a data-prep and reporting platform, not a 500-connector marketing-only firehose. Connector breadth is growing but it’s not the headline.
Pricing
- Free to start, forever, no credit card. Paid plans begin at $249/mo (Starter). Pro is normally $199/mo, and you get a 21-day Pro trial to try the good stuff first. The proof customers cite: one team cut a 20-day reporting cycle down to hours and saved 1,200 hours a year. That’s the ROI math that matters.
Best for: teams drowning in messy, manual data prep who want to clean it and report on it in one place.
Start free or book a demo if you’d rather we show you.
2. Improvado: Best for Enterprise Marketing Teams
Improvado is the heavyweight. It’s a full end-to-end marketing data platform with 500+ connectors, a serious transformation layer, governance, and an AI agent for natural-language queries. If you’re a big marketing org or an agency with a dedicated data team, it’s a legitimately strong pick.
Key features
- 500+ marketing and sales connectors, including niche ad platforms.
- No-code transformation, AI data mapping, pre-built cross-channel models.
- Marketing Data Governance that flags broken UTMs and weird CPC swings in real time.
- A managed data warehouse, so you’re not running your own.
Limitations
- Built for the enterprise, priced for the enterprise. Overkill for a small team.
- Marketing-focused, so it’s less of a general-purpose data platform.
Pricing: custom, contact sales. No public number, which tells you something about the segment.
Best for: mid-market to enterprise marketing teams that need the whole pipeline governed.
3. Funnel.io: Best for Mid-Market Data Collection
Funnel sits in a nice middle spot. 500+ connectors, a central Data Hub, and some transformation: enough to map, group, and clean common stuff, but not as deep as a full platform.
Key features
- Huge connector library (500+).
- Data Hub to standardize incoming data before it ships out.
- Native dashboards for the basics.
Limitations
- Transformation is real but shallow. Complex logic still goes manual.
- Pricing climbs as data volume grows.
Pricing: Free, Starter, Business, and Enterprise tiers. You’ll talk to sales for the bigger ones.
Best for: mid-market teams that want broad collection with light cleanup baked in.
4. Adverity: Best for Large Orgs With Data Teams
Adverity is the other enterprise option. Enormous connector library (600+, by some counts north of 1,000), a robust transformation engine, and an AI co-pilot for the gnarly stuff.
Key features
- One of the largest connector libraries on the market.
- Strong transformation and enrichment.
- Built-in data quality monitoring.
Limitations
- Genuinely enterprise. You want a data team to run it well.
- Not a casual or cheap starting point.
Pricing: custom, contact sales.
Best for: large organizations with the headcount to operate a powerful platform.
5. Windsor.ai: Best Budget Supermetrics Alternative
Windsor.ai is the value play, and it earns it on one feature alone: warehouse destinations on every plan, even the free trial. Most competitors lock that behind Pro or Enterprise. Windsor doesn’t.
Key features
- A genuine free plan, paid from around $19/mo.
- Warehouse and data-lake destinations on all plans (rare and great).
- Wide connector coverage for the price.
Limitations
- It’s a connector at heart. Transformation is light.
- The cheap tiers have row and refresh limits you’ll feel as you scale.
Pricing: free plan, paid from ~$19/mo.
Best for: budget-conscious teams that want data in a warehouse without the enterprise invoice.
6. Coupler.io: Best for Spreadsheet-First Reporting
Coupler.io is for the Google Sheets and Excel crowd. It pulls data into spreadsheets and BI tools cleanly, with some light transformation and scheduling, at a friendly price.
Key features
- Strong spreadsheet integrations.
- Light data transformation on import.
- Pre-built dashboard templates.
Limitations
- Spreadsheet-centric by design, so not a heavy-duty platform.
- Source library is smaller than the giants.
Pricing: affordable tiered plans, with a low entry point.
Best for: teams that live in Sheets and want reliable, scheduled pulls.
7. Porter: Best for Looker Studio and SMBs
Porter (Portermetrics) is built for Looker Studio and small-to-mid marketing teams. Affordable, focused, and refreshingly honest about what it is.
Key features
- Tight Looker Studio integration.
- Solid set of marketing connectors.
- SMB-friendly pricing.
Limitations
- Narrower focus than the platforms.
- Less transformation muscle.
Pricing: SMB-priced tiers.
Best for: small marketing teams reporting in Looker Studio.
8. Dataslayer: Best Cheap PPC Connector
Dataslayer is the budget PPC pick: Google Sheets, Looker Studio, and BigQuery connectors aimed at ad reporting, at a low price.
Key features
- Cheap and quick for PPC data.
- Sheets, Looker, and BigQuery support.
- Easy setup.
Limitations
- Essentials only. Don’t expect a platform.
- Best for advertising data specifically.
Pricing: budget-tier, low monthly cost.
Best for: PPC folks who want cheap, reliable ad-data pulls.
9. Whatagraph: Best for Agency Client Reporting
Whatagraph leans into reporting, not just piping. Cross-channel reports, real-time visuals, and the kind of client-facing polish agencies need.
Key features
- Automated cross-channel reporting.
- Real-time, presentation-ready visuals.
- Built for sharing with clients.
Limitations
- Reporting-first, so transformation is limited.
- Per-feature add-ons can nudge the price up.
Pricing: tiered, mid-market.
Best for: agencies that need slick, automated client reports.
10. Fivetran: Best for Developers and Data Engineers
Fivetran is the developer’s answer. Automated ELT into your warehouse, deep and reliable, but built for people who are comfortable with SQL and the modern data stack. If that’s you, you probably already knew that. If it’s not, this isn’t your tool. (We compared it to the field in our Fivetran alternatives and Fivetran pricing guides.)
Key features
- Rock-solid automated pipelines into warehouses.
- Huge connector catalog, schema handling done for you.
- Built for the modern data stack.
Limitations
- Transformation happens after load (usually in dbt), so it’s not for non-technical folks.
- Usage-based pricing can get unpredictable at volume.
Pricing: usage-based (MAR), free tier for low volumes.
Best for: data engineering teams loading into a warehouse.
How to Choose the Right Supermetrics Alternative
Don’t overthink it. Answer one question: what’s your real problem?
“I just want cheaper pipes into a sheet or warehouse.” Go connector-tier. Windsor.ai if you want warehouse access cheap, Coupler.io if you live in Sheets, Dataslayer if it’s purely PPC, Porter if it’s Looker Studio.
“I have a dedicated data team and enterprise budget.” Improvado or Adverity. Both are powerful, both are priced for it.
“I’m an agency that needs to impress clients.” Whatagraph for the reports, Funnel for the collection underneath.
“I’m technical and I’m loading a warehouse.” Fivetran, and you knew that already.
“My real problem is that my data is a mess and I’m sick of fixing it by hand.” That’s us. That’s the whole reason Mammoth exists. Clean it, blend it, report on it, in one place, starting free.
If that last one is you, start free (you get a 21-day run at Pro, normally $199/mo, no card required) or book a demo and we’ll show you your own messy data getting un-messy in about ten minutes. We’re pretty confident about this one.
Frequently Asked Questions
Is there a free Supermetrics alternative?
Yes, a few. Mammoth has a free plan that includes the full transformation toolkit (not a stripped-down trial version). Windsor.ai and Fivetran both offer free tiers for low volumes, and Funnel.io has a free entry plan too. Supermetrics itself has no free plan, just a 14-day trial, so “free forever” is genuinely a point of difference here.
What is the cheapest Supermetrics alternative?
For pure connector needs, Windsor.ai is the value leader, starting around $19/mo with warehouse access on every plan. Dataslayer and Coupler.io are also budget-friendly. If your problem is data cleanup rather than just piping, Mammoth’s free plan beats all of them at $0, since it does the transformation work the cheap connectors skip.
Why is Supermetrics so expensive?
The model stacks. Each destination (Google Sheets, Looker Studio, BigQuery) is a separate subscription, and extra users, extra connector accounts, and faster refresh rates are all add-ons. A setup that looks like $39/mo on the tin can land much higher once you add the pieces a real team needs.
Does Supermetrics transform data?
Not really. Supermetrics extracts and loads (the “EL” of ETL). It moves raw data to your destination but doesn’t clean, blend, or standardize it. If you need that step automated, you want a platform like Mammoth, Improvado, or Adverity rather than a connector.
What’s the best Supermetrics alternative for agencies?
Depends on the job. For polished, automated client reporting, Whatagraph is purpose-built for it. For the data collection and harmonization underneath those reports, Funnel.io or Mammoth handle the heavy lifting, with Mammoth adding per-client data separation and unlimited free dashboard viewers.
Can I replace Supermetrics with a single tool?
Often yes, and that’s the point. Supermetrics usually needs a separate cleanup step (you, in a spreadsheet) and a separate reporting tool. A platform-tier alternative like Mammoth folds extraction, transformation, and dashboards into one place, so you’re not stitching three tools together to get one report.