Prequel provides an API for data warehouse integrations, enabling applications to securely replicate live data to their customers' chosen databases, data warehouses, and object storage services. The platform manages transfers to over 20 destinations, allowing businesses to offer analysis-ready data without maintaining complex ETL pipelines. It offers a customizable customer experience via an SDK and ensures enterprise-grade security through ephemeral workers and SOC II certification.
Funding
$5.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
SaaS companies often struggle to provide their customers with direct access to their data, leading to reliance on brittle, slow, and error-prone ETL tools. Building and maintaining custom data pipelines for each customer's preferred data warehouse or database is time-consuming and requires specialized engineering expertise. This complexity hinders data accessibility and delays time-to-insight for end-users.
Solution
Prequel offers a data export platform that enables SaaS businesses to provide their customers with seamless, self-service access to analysis-ready data. With a single integration, companies can support data transfers to over 20 major databases, data warehouses, and object storage services. Prequel's React SDK allows developers to embed the platform directly into their product, enabling customers to schedule data syncs and select their preferred destination. The platform utilizes ephemeral workers to replicate data securely, ensuring no data remains on Prequel's servers. By eliminating the need for custom pipeline development, Prequel accelerates time-to-market for data-driven products and reduces engineering overhead.
Target Audience
Prequel is designed for product leaders and engineering teams at SaaS companies who want to provide their customers with easy, secure, and scalable access to their data.
Features
- Support for over 20 destinations, including Amazon Athena, Amazon Aurora, BigQuery, Snowflake, and Databricks.
- React SDK for embedding data export functionality directly into SaaS applications.
- Compatibility with major databases, data warehouses, and object storage services.
- Secure data replication using ephemeral workers, ensuring data privacy.
- Support for transferring up to 100 million rows per destination every 15 minutes.
- Ability to land data directly in customer's S3, GCS, or R2 bucket as Delta tables.
- Optimized compute costs through tools that minimize source query expenses.
- SOC 2 Type II certification.