Prequel Zero Data Exports for Compliance

This points to compliance as a product wedge, not just a security checkbox. Prequel moves customer data from a SaaS vendor into the customer’s own warehouse with ephemeral workers and no permanent storage on its own systems, which directly fits GDPR pressure to minimize and limit retention of personal data, while also fitting the EU Data Act push for portable, machine readable data export and easier switching between providers.

• Prequel’s setup is concrete. A SaaS buyer opens an in app wizard, connects Snowflake, BigQuery, Redshift, Databricks, S3, or GCS, picks tables and sync frequency, and Prequel pipes data straight through without keeping a durable copy. That shrinks the amount of infrastructure in scope for audits, DPAs, and retention policies.
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• This is where Prequel differs from horizontal ETL tools. Fivetran and others are built to aggregate many sources for the customer, often with broad connector catalogs and consumption pricing. Prequel instead helps the SaaS vendor ship a native export feature, with per destination pricing and deployment choices from shared cloud to private cloud and self hosted.
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• Europe also has the warehouse footprint for this to matter. Snowflake supports multiple EMEA regions for customers that need EU or local storage, and the same pattern exists across major cloud warehouses. That means Prequel does not need to convince buyers to adopt a new data home, it plugs into the one they already use for residency and governance.
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The next step is turning compliance fit into regional distribution. If Prequel adds regional hosting, residency controls, and more self hosted deployment paths, it can become the default way European SaaS companies satisfy enterprise requests for raw data access without building and operating a full export stack themselves.