All integrations

Snowflake

Custom connection

Send quality and operational data to your data warehouse.

Put this connection to work Read the platform connection docs
Illustration of a seal beside a benchtop bioreactor and a laptop displaying culture trends.

Connect the relevant records to this work in Seal.

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Agree the records and transfer direction for this job, then connect the evidence to the work your team needs to review.

Snowflake

What you get

Connected work record

  • The selected records and their source references
  • Missing or unmatched information
  • Next steps for your team to review

What’s connected.

Connect your Snowflake data warehouse with a 1-click integration. Simply send an invite link to your data team to establish a secure, compliant data pipeline. Push validated quality and operational data from Seal to Snowflake for enterprise-wide analytics and reporting, leveraging its powerful cloud data platform while maintaining full data integrity and audit trails.

Connection setup and permissions

Use Seal’s APIs or scripting engine for a connection tailored to your process. Agree the data mapping, access and direction of transfer before implementation.

Before it goes live.

Access and write-back

Reading records and writing back are separate decisions. Define which records are in scope, whose permissions apply and which changes require approval.

Data and failure handling

Agree the field mapping, identifiers, units and source of record. Test missing or duplicate data, interrupted transfers and recovery before relying on the connection.

Verification and release

Review the configured connection for its intended use. Keep the requirements, checks and evidence with the change, and approve the release through your team’s controls.

Read the assurance detail