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Data Seeding for SalesforceOwn from Salesforce

Own Sandbox Seeding is a powerful tool for Salesforce developers and testers, enabling precise data seeding from production or sandboxes to various sandbox types. It offers control over data selection, relationship preservation, and incremental updates. The solution simplifies the seeding process with customizable templates, built-in filters, and instant data previews. It supports data masking for security and allows easy template modifications for changing requirements. The tool ensures efficient sandbox utilization by tracking seed data size and providing sample record reviews. By streaml...

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Own from Salesforce

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Product details

Own Sandbox Seeding is a comprehensive solution designed to streamline the process of creating and maintaining Salesforce sandbox environments. This tool allows users to seed precise, relevant data and metadata from production or other sandboxes to any Developer, Developer Pro, Partial, or Full sandbox. It offers a range of features that give users granular control over the data seeding process, ensuring that developers and testers have access to the most appropriate and up-to-date information for their work.

Key Features

Data Selection and Control Users can precisely control what data is seeded for initial and subsequent projects.

  • Options to add all records, delete existing records and replace them, or update only incremental changes
  • Instant preview of data samples to verify filter effectiveness

Relationship Preservation The tool maintains data integrity by preserving object relationships during seeding.

  • Selection of object level depth (degrees away from a given object)
  • Ability to include related children, grandchildren, and so on

Template Management Efficient template system for recurring seeding tasks.

  • Configure and recycle templates with built-in filters
  • Quickly update templates to accommodate new requirements

Benefits

Time Efficiency Significantly reduces the time spent on sandbox preparation and maintenance.

  • Eliminates time-consuming manual work
  • Allows for quick updates and reseeding based on changing needs

Data Security Ensures the protection of sensitive information during the development and testing process.

  • Data masking functionality to anonymize confidential data
  • Controlled access to subsets of production data

Improved Testing Environment Creates ideal conditions for development and testing with relevant, manageable data sets.

  • Seeding of precise data subsets from production or other sandboxes
  • Easy management of data volume to fit sandbox limitations