Accelerate innovation with Data Seeding for Salesforce.
of Salesforce developers find the platform increasingly complex.
Inconsistent test data slows releases and lets bugs slip through—especially when production models aren't mimicked in sandboxes. Automated Salesforce data seeding streamlines environment setup and speeds up development.
Unmasked data puts you at risk of violating regulations like GDPR, CCPA, and more—especially when third-parties have access to your customer’s sensitive data.
Manual refreshes stall testing and break environments, hindering developer’s agility and wasting time.
Scalable data masking and anonymization in sandboxes prevents unauthorized access to regulated data.
Seed sandboxes with unlimited parent-child relationships and gain visual targeting across all relationship levels.
Accelerate seeding with optimized API usage and parallelization to scale to millions of records.
Let our team of experts provide you guidance for initial sandbox seeding setup and data seeding job optimization.

Odaseva Data Seeding accelerates innovation by populating sandboxes with precise, representative datasets that maintain complex relationships and protect privacy through automated masking.
Odaseva Data Seeding helps Salesforce teams reduce manual work, prevent errors, and deliver reliable test data faster and more securely.
You can anonymize production data via templates or custom pattern-based masking. This helps prevent unauthorized access to regulated data and supports compliance with regulations like GDPR and CCPA. Learn more about how Odaseva works to keep Salesforce data secure with data seeding.
Yes. Odaseva allows you to automate and schedule seeding processes to keep pace with your development efforts.
Yes. You can transform data on the fly by creating or renaming fields, overwriting values with random data, removing fields, or aggregating values. This ensures that seeded data meets your testing needs and privacy policies.
Yes. Odaseva provides expert guidance to help teams configure initial sandbox seeding, optimize job performance, and tailor data scopes to specific development or QA scenarios.


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