Let customers export data to 20+ destinations
without building a single pipeline.
Start sharing data with customers as soon as tomorrow.
Use version controlled schemas to outline your data and set up sharing
Changes to your data model will automatically flow through to destinations
Prequel supports reading from multi-tenant tables or single-tenant schemas
Connect to every major database, data warehouse, and object storage service.
Use version controlled schemas to outline your data and set up sharing.
Prequel replicates data by moving it from one database to another, while ETLs replicate data by scraping APIs.
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.
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. They return a range of information, including potential integrity issues, so that you have full visibility into the process.
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.
Prequel sends billions of rows of data every month.
Prequel is SOC 2 Type II certified and includes everything you’ll need to keep your customer’s data safe, secure, and compliant.
Data is replicated using an ephemeral workers, which reads data from the source and then upserts 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.
Prequel can be deployed privately, on our cloud, or using a private cloud, depending on your requirements.