Semantic & metrics layers · Propel

Propel

GraphQL metrics API platform for embedding customer-facing analytics and reports directly into a product.

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Propel is an API platform for building customer-facing analytics: instead of a warehouse-facing semantic layer for internal BI, it targets product teams who need to expose metrics, time series and leaderboards inside their own application. Engineers define metrics against a connected data source (a Data Pool built on ClickHouse under the hood), then query them through a single GraphQL endpoint that returns counters, time series or grouped leaderboard results with built-in filtering, pagination and sorting. Propel manages ingestion, storage and query performance so a product team does not have to stand up and scale a ClickHouse cluster themselves. It is a fully managed, cloud-only service, positioned less as a BI layer for analysts and more as embeddable analytics infrastructure for developers shipping dashboards inside a SaaS product.

At a glance

Vendor Propel
Pricing model Quote only
Free tier —
Deployment Cloud
Open source No
Best for Product engineering teams embedding fast, customer-facing metrics and reports into their own application.

Pricing

Propel does not publish self-serve pricing; plans are scoped through a sales conversation.

Pricing has not been verified yet — see the vendor's site.

Features

  • Single GraphQL endpoint for counters, time series and leaderboard queries
  • Managed ClickHouse-backed Data Pools for storage
  • Built-in filtering, pagination and sorting on queries
  • Metric Report API for building tabular reports quickly
  • Pre-defined and inline metric definitions
  • Designed for embedding analytics inside a product UI

Integrations

Profile last reviewed September 21, 2026

Alternatives

MetricFlow Open-source engine that compiles YAML metric definitions into SQL, and powers the dbt Semantic Layer. Honeydew Snowflake-native semantic layer that compiles governed metric and dimension definitions for BI tools and AI agents.

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Terms to know

Embedded analytics Charts, reports or dashboards built directly into another application instead of a separate BI tool. Data pipeline The automated sequence of steps that moves data from source systems to a destination, transforming it along the way. Semantic layer A layer that defines business metrics and dimensions once, centrally, so every tool and report uses the same numbers.

Related guides

How to choose a semantic layer Semantic layers differ by where they sit relative to the warehouse and who they serve — one BI tool, every BI tool, an app, or an AI agent.