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This guide is written exclusively for Prequel Export. To learn more about Prequel Import, see the Prequel Import Guide.
Prequel makes it easy for engineering and product teams to connect to customers’ data warehouses, databases, or object storage and sync data to them. Prequel connects directly to the data stores and efficiently moves data from source to destination. Complexity around high volumes, high reliability, and data integrity, across SQL dialects, data types, and connection modalities, is all abstracted away behind the Prequel API.

Export Quickstart

Set up Prequel and share data with your first customer destination.

API Reference

Every Export API endpoint, with request and response schemas.

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Core concepts

Sources

Where Prequel reads your data from.

Models

Define which data is shared and how it is shaped.

Destinations

Where your customers receive their data.

Recipients

The customers you share data with.

Transfers

How Prequel moves data on a schedule.

Multi-tenancy

Isolate and scope data per recipient.

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Supported destinations

Prequel writes to all major warehouses, databases, object stores, and lakes.

Warehouses

Load fully-typed tables into cloud data warehouses like Snowflake, BigQuery, Redshift, Databricks, and Athena.

Databases

Write to the transactional databases your customers already run, including Postgres, MySQL, MongoDB, Oracle, and SQL Server.

Object storage

Deliver Parquet, CSV, or JSON in Apache Hive-style partitions to S3, Google Cloud Storage, Azure Blob Storage, and SFTP.

Open table format

Get native schema evolution, deduplication, and ACID transactions on your lake with Delta Lake and Apache Iceberg.
SupportQuestions getting started? Contact your Prequel representative. For FAQ and how-to guides on using Prequel Export, see the Prequel Export Knowledge Base.