Canonical entities and grains
Metric Hive models accounts, sources, campaigns, ads, orders, order lines, products, customers, and dates as explicit business entities with defined reporting grains.
Quick take
Both platforms model marketing data. Metric Hive makes the contract inspectable.
Funnel now describes a built-in semantic layer and has the larger, more mature connector and destination footprint. Metric Hive's case is different: the semantic layer is the product contract, with public source mappings and explicit grain, aggregation, date, currency, query, export, and readiness behavior shared across marketing and commerce workflows.
| Decision area | Metric Hive | Funnel |
|---|---|---|
| Architecture | Semantic-layer-first marketing and commerce intelligence with canonical entities, grains, metrics, guarded query datasets, and public source contracts. | Mature marketing data hub with a built-in semantic layer for collecting, storing, modeling, harmonizing, reporting, exporting, and measuring marketing data. |
| Pricing model | Published monthly line items: $1.25 per source and $30 for Google Sheets produce the public $33.75/month three-source example. Price does not prove account readiness. | Starter starts at $300/month and Business at $600/month, both billed annually. Plans require at least 400 Flexpoints; Enterprise and some measurement behavior are custom or quote based. |
| Data trust | Core Data Health is included and surfaces freshness, failures, schema drift, row movement, semantic queryability, export status, and readiness warnings. | Funnel markets a governed data foundation, connector maintenance, harmonization, and consistent transformations across historical data. |
| AI and MCP | A hosted, account-scoped OAuth MCP endpoint exposes approved semantic discovery, query, Data Health, decision, prompt, and resource workflows with explicit boundaries. | Funnel MCP is available on all plans without Flexpoint consumption and provides read-only access to Funnel data and definitions from compatible clients. |
| Measurement | MMM and MTA have substantial implementation, but remain non-sellable and limited to educational readiness or a controlled pilot until release gates pass. | Measurement is not available on Starter and is listed as request-quote or add-on behavior in public pricing. |
| Exports | Destination adapters and registry-eligibility rules exist, but live customer exports require a readiness review and successful destination smoke test. | Warehouse exports are documented as raw-style exports for some cases; formula custom metrics cannot be exported to a warehouse. |
Semantic layer
The difference is how far the semantic contract travels
Funnel's built-in model, field mapping, smart fields, business rules, naming conventions, currency conversion, and custom metric aggregation are substantial. Metric Hive differentiates on an inspectable contract that every connector, lake table, governed query dataset, export, UI, API, MCP tool, and commerce-derived model must preserve.
Metric aggregation behavior
Metrics carry additive, derived, or non-additive behavior so ROAS, MER, CAC, margin, revenue, spend, and contribution profit are not blindly rolled up.
Query-safe datasets
Frontend pages select approved fields, filters, views, and export modes. Table names, joins, tenant identity, and semantic relationships stay in backend contracts.
Export contract and eligibility
Destination adapters are designed to preserve modeled meaning, but registry eligibility is not proof that a live customer export is enabled. Availability is confirmed per destination and account.
Data Health with the model
Freshness, failures, schema drift, row movement, queryability, exports, and product readiness provide operational trust evidence for the same account-scoped data.
Governed API and MCP workflows
Compatible clients discover approved fields and invoke account-scoped tools through backend authorization. They do not supply table names, tenant identity, arbitrary joins, or raw SQL.
Inspect the public Semantic Contract Library, see how the semantic layer works, or review the Metric Hive MCP security and tool boundaries.
Pricing
A modern data model at a much lower published entry point
Metric Hive's public micro-brand example totals $33.75/month for Shopify, Meta Ads, Google Ads, and Google Sheets. Funnel Starter begins at $300/month billed annually. The Metric Hive example is $266.25/month—or 88.75%—below Funnel's advertised entry price. This is a comparison of published entry points, not equivalent bundles: Funnel has greater product maturity and broader established coverage.
Metric Hive: $33.75/month example
Three connected sources cost $3.75 at $1.25 each. Google Sheets costs $30/month, including up to 10 active exports and two scheduled runs per day, subject to current destination and account readiness.
Funnel: $300/month starting price
Starter is billed annually, so its advertised starting rate is $3,600/year. Business starts at $600/month billed annually; Funnel's pricing also combines plan functionality with a minimum of 400 Flexpoints of capacity.
$266.25/month entry-point difference
The specific $33.75 Metric Hive example is 88.75% below Funnel's $300 starting price. Verify the exact sources, destination, refresh, volume, and readiness you need before treating that arithmetic as your quote.
See the complete Metric Hive price book for every source, destination, included limit, module, and additional-usage line item.
Fit
When to choose Metric Hive or Funnel
The right answer depends on whether you need a mature data hub now or want to evaluate an inspectable semantic contract with explicit readiness boundaries.
Choose Metric Hive when
You want a modern semantic-layer-first architecture, public source mappings, declared grains and metric behavior, governed marketing and commerce datasets, operational Data Health, API/MCP workflows, and transparent line-item pricing.
Choose Funnel when
You primarily need an established marketing data hub with a very large connector catalog, mature agency workflows, and enterprise services attached to a plan and quote model.
Metric Hive is not right when
You need broadly enabled destinations, production-ready MMM or MTA, turnkey commerce-profit workflows, or a mature agency portal today and cannot accept a controlled pilot or readiness gate.
Explore the Metric Hive data hub architecture and the explicit readiness model behind Commerce Intelligence.
FAQ
Questions buyers ask about a cheaper Funnel.io alternative
The short answers retain the pricing caveat and the product-maturity tradeoff.
Is Metric Hive cheaper than Funnel.io?
Metric Hive publishes a $33.75 monthly example for three data sources and Google Sheets. Funnel Starter starts at $300/month billed annually. The example is $266.25/month, or 88.75%, below Funnel's advertised starting price, but the packages and maturity are not identical.
What is the main difference?
Funnel is a mature marketing data hub with a large catalog. Metric Hive is semantic-layer-first: grain, aggregation, dates, currency, query rules, readiness, and source provenance stay attached across governed datasets and workflows.
When should I choose Funnel?
Choose Funnel when you need its broader established connector and destination catalog, mature agency workflows, enterprise services, or production-ready measurement now. Some Metric Hive outputs still require readiness confirmation or a controlled pilot.
Source notes
Refresh these sources before publishing changes
Competitor pricing and packaging can change. Re-check these public pages before major copy edits or paid search campaigns.
Inspect the contract before comparing access
Review the public semantic contracts first, then confirm connector, destination, commerce, and measurement readiness for the account you would actually use.