
Skedulo
Smarter Field Service and Faster Remote Assistance.

Faker
Mockaroo
Generate realistic, relational test data with 150+ field types. JSON, CSV, and SQL output. Free tier available.
Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | tillerstack.com | mockhero.dev |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Germany · 50 - 99 employees · 2019 | Startup from Croatia · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


TillerStack provides Field Service Management (FSM) and On-Site Remote Assist (OSRA) solutions for modern service organizations. Its TSentra platform supports AI-powered scheduling, dispatching, route optimization, mobile workforce management, and real-time field operations, while Osra+ uses AI...
Realistic test data in one API call. Send a schema or plain English description, get back production-quality fake data with proper names, valid formats, and referential integrity.
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing TillerStack and MockHero.dev.
MockHero.dev's answer:
MockHero generates multi-table relational data in a single API call with automatic foreign key ordering. Other tools generate flat tables — MockHero's topological sort ensures orders reference real users, reviews link to real products. Plus it ships as an MCP server so AI coding agents can seed databases directly.
MockHero.dev's answer:
Faker requires you to wire foreign keys manually. Mockaroo can't do multi-table in one request. Tonic.ai needs your production data. MockHero generates realistic relational data from a schema definition in one API call — no production data needed, no manual FK wiring, sub-50ms.
MockHero.dev's answer:
We just launched — focused on individual developers and small teams building with Supabase, Neon, Prisma, and other modern stacks. Early adopters are using MockHero through the MCP server in Claude Code and Cursor.
MockHero.dev's answer:
Developers who need realistic test data for development, testing, and CI/CD. Backend developers seeding databases, frontend developers building UIs with realistic data, QA teams writing integration tests, and AI coding agents that need to populate databases autonomously.
MockHero.dev's answer:
Built out of frustration with writing seed scripts by hand. Every new project needs test data, and every time it's the same tedious process — create users, then orders that reference those users, then reviews that reference both. MockHero makes it one API call.
MockHero.dev's answer:
Next.js 15, TypeScript, Supabase (PostgreSQL), Clerk authentication, Vercel hosting. The MCP server uses the Model Context Protocol SDK. Data generation engine is custom-built with topological sort for relational integrity.
Share your experience with using TillerStack and MockHero.dev. For example, how are they different and which one is better?
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