# Let customers sync your data to their warehouse

Replace shared warehouse access, service-account key handoffs, CSV sends, and one-off export builds with an embedded export feature. Fully white-labeled, your customers never know we exist.

[Book a demo](https://www.prequel.co/request-product-demo)

## Product leaders choose Prequel for data warehouse integration

Zuora, LaunchDarkly, Gong, Iterable, Webflow, Stripe, Drata, Postscript, Orb, Kevel, Pendo, LogRocket, Quantum Metric, Modern Treasury

## Setup Prequel in a day

Start sharing data with customers as soon as tomorrow.

- **Data schema** — Use version controlled schemas to outline your data and set up sharing.
- **Schema evolution** — Changes to your data model will automatically flow through to destinations.
- **Multi-tenant by design** — Every query Prequel runs against your source is filtered by recipient ID, auditable in your own query logs.

Resources:

- [Quick start](https://docs.prequel.co/docs/quickstart-guide-export)
- [Set up your source](https://docs.prequel.co/docs/sources-overview)
- [Configure your data model](https://docs.prequel.co/export/concepts/models)
- [Multi-tenancy](https://docs.prequel.co/docs/multi-tenancy)
- [Schema evolution](https://docs.prequel.co/docs/schema-evolution)

## Send data anywhere

Connect to every major database, data warehouse, and object storage service.

- **Easy onboarding** — Use version controlled schemas to outline your data and set up sharing.

Resources:

- [Available connections](https://www.prequel.co/connections)
- [Connection modalities](https://docs.prequel.co/docs/connection-modalities)

## You don't have to be the data warehouse expert

Prequel tracks every change across 20+ data platforms so your team doesn't have to.

- **Auth migrations handled** — When Snowflake deprecated password authentication, Prequel customers shipped the key-pair migration to their users without writing code.
- **New destinations appear automatically** — When Prequel launches a new destination, it shows up in your app through the same SDK. No roadmap item, no new UI to build.
- **Stable SDK** — Versioned semantics and no breaking changes. Style the components; we keep them working as the platforms evolve.

## 1000x faster than an ETL

Prequel replicates data by moving it from one database to another, while ETLs replicate data by scraping APIs.

## Efficient, fault-tolerant data transfers

1. **Full transfer** — During the initial sync, all historical data for a given recipient is loaded into the destination. Users can also trigger a full refresh to reset their data at any time.
2. **Incremental transfer** — After the initial sync, Prequel transfers any new data to the destination. Prequel records the most recent updated_at value transferred and uses it as a starting point for the next transfer.
3. **Windowed transfers** — Users can split large transfers into a series of smaller transfers, allowing some data to be used before the full transfer is completed.
4. **Custom queries** — To reduce the compute costs, users can refine the query Prequel uses to read from the source without changing the schema configuration.

### Defensively engineered

Our transfer process is designed to handle edge cases that may come up working with a wide range of databases. For instance, our platform supports eventual consistency by default. When our system initiates a transfer, it creates a look-back window to capture any data that might arrive out of order.

### Data integrity checks

One of Prequel's core promises is the guarantee that data in the source will be accurately replicated in the destination. Every row will be transferred, no row will be dropped, and the destination will get all changes to existing rows. Data integrity checks compare the data in the source to the data in the destination.

### Webhooks & alerts

Use webhooks to receive events from Prequel. Webhook endpoints created using the POST /webhooks endpoint can subscribe to any of Prequel's Event Types and configure delivery via HTTPS, Slack, or Pagerduty.

## Leaders trust Prequel

Prequel sends trillions of rows of data every month.

| Company | Case study | Person | Role |
| --- | --- | --- | --- |
| Kevel | [Prequel Helps Kevel Scale Enterprise Data Exports](https://www.prequel.co/customers/kevel) | Dylan Hulser | VP of Retail Media |
| Postscript | [How Postscript powers data exports](https://www.prequel.co/customers/postscript) | Allen Cunningham | Data Engineering Lead |
| Zuora | [Build vs. Buy: Why Zuora Chose Prequel](https://www.prequel.co/customers/zuora) | Kevin Suer | Director, Product Development |

## Built in security compliance

Prequel is SOC 2 Type II certified and includes everything you need to keep your customer's data safe, secure, and compliant. No data is ever stored or retained on Prequel infrastructure.

- **Ephemeral servers** — Data is replicated using ephemeral workers, which read data from the source and then upsert that data into the destination. Data is reformatted in flight so that it's compatible with the destination. No data remains on Prequel's servers once the data is transferred.
- **Multiple deployment options** — Prequel can be deployed privately, on our cloud, or using a private cloud, depending on your requirements.

[Explore security](https://www.prequel.co/security)