Fast Sandbox seeding for Salesforce
Build a visual seed tree, scope each object, run it — or schedule it. OrgSquirrel remaps lookup & master-detail relationships, masks sensitive data, and records every failed row with the exact Salesforce error — so sandbox refreshes and prod migrations stop being two-day projects.
Salesforce data seeding that survives parent-child relationships and sandbox refreshes
Every feature exists because somebody's sandbox refresh broke at 2am.
Visual seed tree
Grow the tree from the + on any object - parents to the left, children to the right - and every relationship shows the lookup or master-detail field it travels through. Records load parents-first, with each lookup repointed to the new record in the target org.
Scope every object
Put a WHERE filter and a record cap on any object in the tree, not just the root. Pull 100 accounts and their related rows instead of discovering you queried the whole org.
Handles the hard data model
Record types remapped across orgs, Person Accounts, multiple currencies, and Shield-encrypted fields - the edge cases that break a naive copy just work.
Data masking & field mapping
Six masking strategies (null, redact, fake-email, fake-name, fake-phone, hash) plus per-field source→target renames. Encrypted and sensitive fields are auto-suggested for masking. Demo data stays demo data.
Scheduled deployments
Put a seed on a cron schedule and it runs itself - nightly sandbox refreshes with nobody at the keyboard. Production targets take a typed confirmation up front, never at run time.
Built for real volume
Anything over 100 rows routes to Bulk Ingest 2.0 automatically - 100× fewer API calls against your daily limit. Big seeds stream page by page instead of being held in memory, progress ticks up live, and cancelling issues reverse-order DELETEs so the target is never left half-populated.
Three steps from connect to seeded
Connect your orgs
OAuth into your source and target Salesforce orgs. Tokens are encrypted at rest with AES-256 and isolated per-tenant via Postgres RLS.
Build the tree
Pick a root object, branch out to parents and children - the same object can appear more than once, each placement keeping its own relationships. Choose fields, filter and cap each object, rename targets, mask sensitive data, upsert on an external ID.
Run, schedule & watch
Run it now with live per-record progress, or put it on a cron schedule to run automatically. Per-row error capture, CSV export of failures, and one-click re-runs from history.
Watch a seed run end to end
Building the tree, scoping the objects, and running it against a live sandbox — no slides.
Custom pricing, built around your usage
No rigid tiers. You’re quoted on what you actually use - connected Salesforce orgs, team seats, and monthly record volume - over a term that suits you. Every feature is included at any size.
Tell us your volume and team - we’ll send a quote the same day.
Priced on
- Connected Salesforce orgs
- Team members (seats)
- Records migrated per month
- Contract term - monthly, 6-month, or annual
Every quote includes
- Cross-org seeding that preserves lookup & master-detail relationships
- Scheduled, recurring deployments on a cron schedule
- Shared org connections across your team
- Record types, Person Accounts, multi-currency & encrypted fields handled
- Insert or upsert on an Id / External Id
- Data masking & field mapping
- Templates & one-click re-runs
- Live progress, history, cancel & rollback
What it might look like
A few example setups so you know roughly what to expect. Figured at $50 / connected org · $25 / user · $10 per 100,000 records - monthly.
Solo admin
One sandbox to keep fresh.
- 1 connected org
- 2 users
- 100,000 records / month
Growing team
Daily refreshes across a few sandboxes.
- 3 connected orgs
- 8 users
- 500,000 records / month
Large migration
High-volume prod-to-sandbox moves.
- 10 connected orgs
- 25 users
- 3,000,000 records / month
Examples only - figures are illustrative and not a quote. Annual and longer terms are available, and your final pricing is tailored to your usage.
Stop writing one-off migration scripts
Get back the afternoons you spend on data shuffling.