
Mockaroo
Smock-it
Replica
Data Creator
Generate Data
MockDataGenerator
Generate realistic Salesforce test data with proper relationships and record types in minutes! Direct upload to sandboxes—no CSV wrangling, no production data risks.

Supabase
Datomic
Vercel
MarkLogic Server
Valentina Server
Firestore
Datahike
The last database you'll ever need. Go from idea to IPO.

Which is more popular?
Based on our record, PlanetScale seems to be more popular. It has been mentioned 105 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | universaldatagenerator.com | planetscale.com |
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| Company | Startup from the United States · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Universal Data Generator creates realistic test data directly in your Salesforce sandbox. Connect via OAuth, select objects, and generate records with proper parent-child relationships - no CSV exports or Data Loader required. Easy! Fast! Done! Key features: - Salesforce integration via OAuth 2.0...
No description of PlanetScale yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
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Walkthroughs and reviews on video.
Universal Data Generator
PlanetScale Beta - Release Radar
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Universal Data Generator and PlanetScale.
Universal Data Generator's answer
UDG is the only test data generator that combines three critical features: direct Salesforce OAuth integration, automatic parent-child record relationships, and schema awareness - all through a no-code web interface. Unlike generic tools that export CSV files, UDG reads your org's metadata (custom objects, record types, picklist values) and creates records directly in your sandbox with proper referential integrity. You select objects, set record counts, and click generate - no Data Loader, no field mapping, no CSV gymnastics.
Universal Data Generator's answer
UDG vs Mockaroo: Mockaroo is NOT Salesforce specific! It exports CSV files that you then have to load into Salesforce manually. UDG connects directly via OAuth and creates records with linked relationships - no intermediate steps.
UDG vs Snowfakery: Snowfakery requires Python, CLI knowledge, and YAML configuration files. UDG offers the same Salesforce-native benefits through a simple web UI that any admin can use.
USG vs Smock-it: UDG works instantly in any browser. Salesforce CLI, Node.js, and plugin installation needed - just sign up and connect your org. UDG reads your org's metadata automatically - just select objects and click generate. No JSON files needed. UDG automatically detects your custom objects, record types, and picklist values via OAuth. Smock-it requires manual template setup or using the promptify command. UDG automatically detects your custom objects, record types, and picklist values via OAuth. No manual template setup or using the promptify command needed.
UDG vs Data Loader: Data Loader requires you to prepare CSV files, map fields manually, and manage parent-child ID relationships yourself. UDG handles all of this automatically.
Universal Data Generator's answer
Salesforce professionals who need realistic test data without the technical overhead, fast! - Salesforce Admins populating sandboxes after refresh for testing or training - Salesforce Developers who need data for feature development and QA - Consultants preparing demo environments for client presentations - QA Teams building comprehensive test scenarios with related records The common thread: people who are tired of spending hours manually creating test records or wrestling with CSV files and Data Loader.
Universal Data Generator's answer
UDG was built by a Salesforce consultant with 10+ years of experience who lived this problem daily. Every sandbox refresh meant hours of tedious work: manually creating Accounts, then Contacts, then Opportunities - or worse, preparing CSV files, mapping fields in Data Loader, and managing ID relationships across multiple imports. Existing tools either required coding skills (Snowfakery), exported to CSV instead of loading directly (Mockaroo), or were expensive AppExchange packages. There was no simple, affordable solution that just worked. UDG was built to solve that specific pain point: connect your sandbox, pick your objects, click generate, done. What used to take hours now takes minutes.
Universal Data Generator's answer
Share your experience with using Universal Data Generator and PlanetScale. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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PlanetScale is designed around operational simplicity and production reliability, making it a strong fit for many PostgreSQL workloads. Teams can also review its PostgreSQL compatibility and feature set to ensure it...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Universal Data Generator since Jan 2026.
PlanetScale | https://planetscale.com/ | Software Engineer - PlanetScale Postgres | Remote (AMER, LATAM & EMEA) | Base range: $120,000 - $290,000 USD I'm the hiring manager for this position. Come build the best Postgres product on the... - Source: Hacker News / 4 months ago
i'll take the opposite side. I was very impressed with their website. The very first line: > The world’s fastest and most scalable cloud databases the second line: > PlanetScale brings you the fastest databases available in the cloud.... - Source: Hacker News / about 1 year ago
Database: It helps storing, managing and retriving data in a structured manner (e.g. NeonDB, PlanetScale, DynamoDB). - Source: dev.to / over 1 year ago
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