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Propel

Propel

Propel is a real-time analytics data platform powered by Serverless ClickHouse, built to accelerate AI and analytics applications. It delivers a fully managed service with built-in data pipelines, query APIs, and embeddable UI components so teams can run fast, large-scale queries and add analytics without operating ClickHouse clusters.
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serverless clickhousereal-time analytics platformquery APIembedded analyticsdata ingestion pipelineembeddable UI componentsmulti-tenant analyticssemantic metricslow-latency query APIanalytics for SaaS

Features of Propel

Fully managed Serverless ClickHouse analytics database — no cluster provisioning, scaling or maintenance required.
Built-in data ingestion pipelines to sync and consolidate data from warehouses, databases and real-time streams.
Multiple pre-built query APIs (counters, data grids, leaderboards, time series, etc.) for rapidly building data-driven features.
Fine-grained access controls with column-level and row-level policies to support secure multi-tenant applications.
A semantic layer for defining metrics once and querying them consistently via API across products.
A library of embeddable UI components (time series charts, pie charts, leaderboards, etc.) to integrate analytics into your app.
Integrates with data connectors like Fivetran and Airbyte to simplify data onboarding.
Secure GraphQL and SQL APIs for flexible, developer-friendly querying and data access.

Use Cases of Propel

Enable SaaS product teams to quickly build and embed in-product analytics dashboards.
Create real-time leaderboards, counters and interactive data features for apps such as games or e‑commerce.
Build customizable real-time dashboards for IoT or operations teams to monitor devices and business metrics.
Allow analysts and product managers to query key KPIs across teams using a unified semantic layer.
Provide isolated, secure analytics views for different customers or internal departments in multi-tenant environments.
Embed advanced analytics charts and components into existing web applications to increase product value.
Deploy low-latency query APIs from sources like Kafka, Snowflake or S3 to power personalized recommendations and real-time features.

FAQ about Propel

QWhat is Propel?

Propel is a real-time analytics data platform built on Serverless ClickHouse. It provides a fully managed service with data ingestion pipelines, query APIs and embeddable UI components to help developers quickly build and integrate analytics features.

QWhat are Propel's main capabilities?

Propel offers a Serverless ClickHouse database, built-in data ingestion pipelines, multiple pre-built query APIs, fine-grained access controls, a semantic metrics layer, and an embeddable UI component library.

QDo I need to manage a ClickHouse cluster to use Propel?

No. Propel is a fully managed Serverless offering — you don’t need to provision, scale or operate ClickHouse clusters or handle underlying infrastructure.

QWhat data sources can Propel ingest from?

Propel supports ingestion from real-time streams, data warehouses (e.g. Snowflake), databases, and integrates with ETL/connectors like Fivetran and Airbyte for syncing data.

QHow is Propel priced?

Propel follows a subscription-based model with Serverless, pay-as-you-go billing and published starter pricing. For exact plans and costs, refer to Propel’s official pricing page.

QWho is Propel best suited for?

Propel is aimed at development teams that need to embed real-time analytics into their products, SaaS companies building customer dashboards, and product or data teams who want fast insights without heavy ops work.

QHow does Propel secure data access?

Propel provides mechanisms such as scoped API credentials, column-level and row-level access control policies to help securely manage data access in multi-tenant applications.

QWhich front-end frameworks do Propel's embeddable UI components support?

Propel offers a complete UI toolkit (for example, <TimeSeries>, <PieChart> components) that integrates with its APIs and is designed for modern front-end development. Check the technical documentation for specific framework compatibility and integration guides.

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