Welcome to the Propel docs
Propel is an Analytics Platform as a Service for developers to effortlessly ship embedded analytics, data-serving APIs, and usage metering into their applications.
It provides developers with:
- Built-in pipelines for ingesting data from data warehouses, databases, webhooks, or event streams.
- Serverless ClickHouse to serve data blazingly fast without managing any infrastructure.
- Data serving APIs and React UI components to build customer-facing analytics experiences.
- Access Control policies to securely serve data to authenticated users in multi-tenant environments.
Quickstart
Get started in 5 minutes. No credit card required. Sample data included.
Architecture overview​
Propel connects to your data sources, ingests data to its Serverless ClickHouse Data Pools, transforms and aggregates the data, and then serves it securely via SQL and a GraphQL API, all in real-time.
Propel has the following attributes:
- Fast: Get sub-second query latencies at any scale, even with billions of records.
- Convenient: Sync data with no ETL or data engineering required.
- Flexible: APIs and UI components to build a broad set of use cases.
- Fully managed: Get started, develop, and scale with ease. We run and scale for you.
- Secure and compliant: SOC2, GDPR, and CCPA compliant.
- Usage-based pricing: Pay for what you use, nothing more.
Use cases​
Propel is useful for a broad set of customer-facing analytics use cases. The following are some of the most common:
- Customer dashboards and reports: Build insights as part of your product experience.
- Data Serving APIs: Expose and share your analytics data via self-service APIs.
- Usage metering: Measure, report, and alert on product usage.
- LLM analytics: Track token usage, latency, and feedback of LLM applications.
Get started​
Try Propel for free to get a production-ready analytics backend service up and running in minutes.