Recognized by the People Who Use Us
Rated by Real Users on G2
Enterprise IT teams consistently rate Sesame Software for best support, highest user adoption, and fastest implementation.
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An empty sandbox only tests the easy cases. Sesame Software populates your data-only sandbox from production — so the edge cases that only exist in real data don't surface for the first time in a live release.
Production Salesforce environments contain years of complex, high-volume data — deeply nested hierarchies, custom objects, edge cases that only accumulate over time. Sesame Software loads all of it into your sandbox in the correct sequence so your team isn't testing against a simplified version of your business.
See how Sesame Software populates a Salesforce sandbox from production data — end to end — in a 30-minute technical walkthrough.
30 minutes · No commitment · Response within 1 business day
Data Governance and Chain of Custody
Sesame Software seeds your sandbox from your existing backup database — not directly from production. The data moves through a controlled, auditable path using infrastructure already governed and secured in your environment. No new exposure paths are created, and your live environment is never touched during the seeding process.
Why Sandbox Data Quality Matters
An empty or thinly populated sandbox isn't just an inconvenience — it's a source of risk. The edge cases that cause production failures are almost always the ones that only exist in real data.
Complex hierarchies, high-volume record sets, and unusual field combinations only exist in production data. Testing against a sparse sandbox means these cases go untested — until a release breaks in production.
Workflows, validation rules, triggers, and automation behave differently at scale. A release that passes testing against thin data can still fail when it encounters the full complexity of your production environment.
Compliance validation must reflect actual data structures, volumes, and relationships to be defensible. Testing against a sandbox that doesn't mirror production produces results that won't withstand audit — and creates exposure you may not discover until it's too late.
When developers and QA teams can't trust their test environment, they add manual checks, run extra validation cycles, and hesitate to move quickly. Realistic sandbox data removes that friction.
What Is Sandbox Seeding
When Salesforce provisions a data-only sandbox, it contains only metadata and User accounts. No records, no history, no relationships. Your development and QA teams need production-quality data to test against — and manually recreating that data is not viable at enterprise scale.
Sesame Software loads your full production dataset into the sandbox in the correct parent/child hierarchical sequence, handles recursive relationships automatically, and prevents API exceptions through a structured SQL preparation step.
Step-by-Step Procedure
The complete procedure for seeding a Salesforce data-only sandbox from your production environment. For most teams, the full process takes a few hours depending on data volume. The most common points of failure are load ordering and recursive relationships — both are handled by the procedure below.
systemmodstamp cannot be created — set to null, not omittedSalesforce Backup and Recovery
Sesame Software's Backup and Recovery product is the source of the database used for sandbox seeding — and delivers complete enterprise-grade Salesforce data protection alongside it.
Automated backups as frequently as every 5 minutes. The same backup database that protects your production data is also the source for sandbox seeding — always current, always controlled.
Restore any Salesforce record, field, or parent/child hierarchy to any point in its history. Minutes to recover from user error, bad imports, or failed integrations — without IT involvement.
Patent-pending history tracking captures a complete pre-change image of every record before it is updated or deleted. Every change, every deletion, fully logged and queryable.
Back up your Salesforce org configuration — fields, flows, layouts, page components. The visual compare makes change tracking straightforward for compliance and change management teams.
Deploy on your own AWS, Azure, or on-premise infrastructure. Your backup data and sandbox seed data never pass through or are stored on Sesame servers. Full data sovereignty.
Populate data-only Salesforce sandboxes from your production backup. Correct hierarchical load order, recursive relationship handling, and SQL prep guidance — all built into the same platform.
Recognized by the People Who Use Us
Enterprise IT teams consistently rate Sesame Software for best support, highest user adoption, and fastest implementation.
Trusted by Enterprise IT Teams
"The Sesame Software tool was helpful during the recovery process, especially for converting attachments to files. Whenever a new field is created, it is automatically included for data retrieval and backup."
"I love how you can include or exclude certain objects, fields and even record types. Audits allow us to detect schema changes."
"Custom objects added in Salesforce are automatically added as new tables in the replicated database. Custom fields added in Salesforce are automatically added as new columns in the replicated database."
Common Questions
Salesforce sandbox seeding is the process of populating a data-only Salesforce sandbox — which initially contains only metadata and User accounts — with data from your production environment. Sesame Software automates this process so QA and development teams can test against realistic production-quality data.
Testing against empty or synthetic data misses the edge cases that only exist in real production data — complex hierarchies, unusual field combinations, high-volume record sets. Sesame Software seeds your sandbox from your actual production backup, ensuring test results accurately reflect what will happen in your live environment.
Sesame Software uses your existing backup database as the seed source. The data follows a controlled, auditable path from production to backup to sandbox — with no new data exposure paths created. Your production environment is never touched during the seeding process.
Sesame Software manages the parent/child load sequence through its configuration file. Run the global check command to generate a warning report identifying ordering issues. Re-sort objects in the configuration until the report is clean, then proceed with the load.
As frequently as you need. Because Sesame Software's backup runs every 5 minutes, your seed source is always current. You can re-run the seeding procedure at any time — after a major data change, before a compliance test cycle, or on a regular schedule tied to your release cadence. The procedure is repeatable without any changes to your configuration.
When error flagging is enabled in your configuration, records with errors are flagged as Insert Error so they are easy to find. Reset those records back to Insert status before re-running. It is recommended to leave error-flagging off until the full load is complete, then investigate remaining errors.
Sesame Software populates your Salesforce data-only sandbox from your production environment — with a controlled, auditable data path and zero exposure to live data. See the complete procedure in a 30-minute technical walkthrough.
See the Full Procedure in a Demo →