Comparison · Verified May 2026

SynthForge vs Mockaroo

Mockaroo is the longest-running web tool for generating fake data. SynthForge is built around multi-table schemas with foreign-key integrity in a single generation pass. Here is what each one is best at, with verified facts and zero spin.

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TL;DR

Mockaroo is excellent for one-off, single-table fake data and a wide catalog of 140+ field types. SynthForge is built for relational test data: design a multi-table schema once and generate referentially-intact rows across every table in one pass, with seven SQL dialects and AI-assisted schema design. If you only need one table at a time, Mockaroo's UI is hard to beat. If you need related tables, SynthForge fits the workflow better.

Recent context

Mockaroo's creator, Mark Brocato, launched a separate AI-driven multi-table product called Fabricate in September 2024. Tonic.ai acquired Fabricate in April 2025 and relaunched it in November 2025 as the Tonic Fabricate Data Agent. Mockaroo itself continues to operate independently with the same field-by-field schema editor it has had for years; the relational gap that Fabricate addressed is still present in Mockaroo proper.

When Mockaroo is the right call

• You only need a single flat table or CSV. Mockaroo's editor is a fast row-per-field grid that beats almost everything else for that workflow.
• You want the broadest catalog of built-in field types: Mockaroo advertises 140+ types and exposes user-defined custom lists and AI-generated custom types.
• You need Excel (.xlsx) output. Mockaroo emits Excel directly; SynthForge does not.
• You are already on a paid Mockaroo plan and have schemas saved in their account. Migration cost is real.
• You want a battle-tested API endpoint with an established pattern for downloading rows by schema name plus an API key.

When SynthForge is the right call

• You need related tables in one shot. Define customers + orders + line_items with foreign keys, generate them all together, and child rows reference parent IDs by construction.
• You want AI-assisted schema design across an entire database, not just AI-assisted lists for a single field.
• You need realistic numeric distributions: Normal, LogNormal, Exponential, and Triangular are first-class, not 'use the random module yourself'.
• You generate for multiple databases. SynthForge emits dialect-specific DDL plus loader scripts for PostgreSQL, MySQL, SQLite, SQL Server, MariaDB, DuckDB, and CockroachDB.
• You want a free tier without a 1,000-row-per-file cap, and you do not want to chain a download / re-upload / cross-reference workflow to fake foreign keys.
• You are building ML training data: SynthForge ships pre-built domain templates (healthcare, e-commerce, fraud, IoT, marketing, real estate) with class-balance controls and baseline model evaluation.

Feature comparison

Verified against primary sources in May 2026.

Feature	SynthForge	Mockaroo
Free tier row cap	Generous quotas; up to 10,000,000 rows per request	1,000 rows per file
Free API requests/day	Subject to per-account rate limits, no fixed daily request cap	200 requests/day; 5,000 rows per call without background processing
Multi-table generation in one pass	Yes, with foreign-key sampling strategies (random, uniform, sequential, weighted)	No. Workflow: generate parent → download CSV → re-upload as Dataset → reference from child schema
Foreign key integrity	Single-column FK guaranteed by construction	Manual via the 'Dataset Column' chained-workflow pattern
Composite / self-referential FK	Composite FK not supported; self-referential possible but not first-class	Unverified as official feature; community workarounds only
Field types	45 across 13 categories	140+ advertised
Statistical distributions	Normal, LogNormal, Exponential, Triangular, Uniform	Uniform / range-based; no Normal/LogNormal first-class
AI schema design	Whole-schema generation from a natural-language description (Claude default, OpenAI optional)	Field-level: AI-generated custom lists and types, not whole-schema
SQL DDL import	LLM-based parser; handles standard CREATE TABLE syntax across dialects	Yes; user reports it parses Postgres syntax and rejects T-SQL/MSSQL
SQL output dialects	PostgreSQL, MySQL, SQLite, SQL Server, MariaDB, DuckDB, CockroachDB	SQL INSERT output; specific dialect coverage not publicly documented
Export formats	CSV, SQL, JSON, JSONL, Parquet (also JSON/JSONL importable into MongoDB)	CSV, JSON, SQL, Excel, XML, custom-delimited TXT
ML training datasets	Pre-built templates, class-balance control, train/test split, baseline model evaluation	Not a positioned use case
Public REST API	OpenAPI 3.1 spec, 15+ endpoints, Clerk auth	REST API with API key; defined in /api/docs
Self-hosted / on-prem	No	Yes, on Enterprise plan ($7,500/yr) via Docker

Pricing comparison

SynthForge

Free $0

All features. No credit card. Per-account rate limits and a 10M-row hard cap per generation request.

Mockaroo

Free $0

1,000 rows per file. 200 API req/day. 5,000 rows per API call without background processing.

Silver $60 / year

Up to 100,000 rows per file. 1M records/day API. 8x speed.

Gold $500 / year

Up to 10M rows per file. 10M records/day API. 8x speed.

Enterprise $7,500 / year

Unlimited data and users. Unlimited API. On-prem Docker.

What SynthForge does not do that Mockaroo does

Honest tradeoffs, in case they decide the comparison for you.

• Mockaroo has 140+ field types vs SynthForge's 45. If you need an obscure type (passport numbers in a specific country, regional commerce codes, etc.), check Mockaroo's catalog first.
• SynthForge does not export Excel (.xlsx) files directly. Mockaroo does.
• Mockaroo offers an Enterprise on-prem Docker option. SynthForge is cloud-only today.
• Mockaroo's brand recognition is higher; if your team already has saved schemas, the migration cost is real.

Frequently asked questions

Is SynthForge free?

Yes. No payment, no credit card. Use is gated by per-account rate limits and a 10M-row hard cap per generation request.

Can SynthForge generate 1,000 related tables at once like Mockaroo's chained Dataset workflow?

SynthForge generates an entire multi-table schema in one pass with foreign-key integrity guaranteed by construction. There is no per-table chaining workflow. The hard upper bound is currently 10,000,000 rows per request.

Does Mockaroo have AI schema generation now?

Mockaroo added AI-generated custom lists and types at the field level. It does not generate an entire multi-table schema from a natural-language description. The Mockaroo creator's separate Fabricate product, which targets that gap, was acquired by Tonic.ai in April 2025.

Why does Mockaroo's free tier cap at 1,000 rows?

It has been Mockaroo's free-tier policy for years and is documented on their pricing page. To exceed it, the available paid tiers are Silver ($60/yr, 100k rows/file), Gold ($500/yr, 10M rows/file), and Enterprise ($7,500/yr, unlimited).

Can I import a SQL CREATE TABLE script into either tool?

Both support DDL import. SynthForge uses an LLM-based parser that handles standard CREATE TABLE syntax across dialects. Mockaroo's Import-from-SQL is reported by users to favor PostgreSQL syntax and reject some MSSQL/T-SQL DDL.

Does either product de-identify real production data?

Neither does. Mockaroo's 'De-Identify' nav link is a partner page that points to Tonic Structural. SynthForge does not ingest real data either. If you have a production database with PII that needs sanitizing, look at Tonic Structural or NVIDIA NeMo Safe Synthesizer.

Sources used to verify these claims

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Design a multi-table schema, generate referentially-intact data, and export to your database. No credit card.

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