SynthForge IO
synthforge.io
What it is
SynthForge IO generates synthetic data from database schemas for development, quality assurance, and load testing. You can describe a model in plain English, draw it in a visual editor, import SQL DDL, or begin with a template. Generation follows table dependencies and keeps child foreign keys connected to existing parent rows. The service provides 152 field types in 19 categories, including constraints, statistical distributions, and conditional overrides. Outputs include CSV, JSON, JSONL, Parquet, and SQL for PostgreSQL, MySQL, SQL Server, SQLite, MariaDB, DuckDB, and CockroachDB. MongoDB-ready data is available as JSON or JSONL. Personal API keys use Bearer authentication and support curl, Python, and CLI jobs. Hosted MCP is in open beta for Claude, Cursor, and Streamable HTTP clients. The free plan includes the first 20,000 rows of each dataset; generation is capped at 1,000,000 rows per table and downloads at 1 GB. Paid credits start at $5, paid once.
Spec sheet
- Purpose
- SynthForge IO generates realistic synthetic test data from database schemas for development, QA, and load testing.Read 30 Sep 2026 · synthforge.io
- Intended users
- The maker describes the product for application developers, QA engineers, and data engineers working with realistic test data and production-scale volumes.Read 30 Sep 2026 · synthforge.io
- Security
- The privacy policy says data in transit uses HTTPS, API access requires authentication, and stored generated datasets are encrypted and automatically deleted after roughly 24 hours.Read 30 Sep 2026 · synthforge.io
- Support
- The maker directs users who need higher limits or additional beta credits to contact support by email.Read 30 Sep 2026 · synthforge.io
- AI agent integration
- Hosted MCP is in open beta and supports Claude, Cursor, and Streamable HTTP MCP clients.Read 30 Sep 2026 · synthforge.io
- AI data handling
- Descriptions and schema structures may be sent to third-party AI providers, including xAI, OpenAI, and Anthropic, when AI features are used.Read 30 Sep 2026 · synthforge.io
- API access
- Personal API keys authenticate with Bearer tokens and can generate datasets from curl, Python, or the CLI.Read 30 Sep 2026 · synthforge.io
- Compliance and masking
- The maker says SynthForge does not de-identify production data and does not have a SOC 2 or HIPAA attestation.Read 30 Sep 2026 · synthforge.io
- Database compatibility
- Supported SQL dialects are PostgreSQL, MySQL, SQL Server, SQLite, MariaDB, DuckDB, and CockroachDB; MongoDB-ready data is available as JSON or JSONL.Read 30 Sep 2026 · synthforge.io
- Exports
- It exports CSV, SQL for seven dialects, JSON, JSONL, and Parquet.Read 30 Sep 2026 · synthforge.io
- Generators
- The product offers 152 field types across 19 categories, with value constraints, statistical distributions, and conditional overrides.Read 30 Sep 2026 · synthforge.io
- Notable generation limit
- The pricing page caps generation at 1,000,000 rows per table and limits downloads to 1 GB.Read 30 Sep 2026 · synthforge.io
- Relational integrity
- Generation orders tables by dependencies and keeps child foreign keys pointed at existing parent rows.Read 30 Sep 2026 · synthforge.io
- Schema design
- Users can describe a data model in plain English, build it in a visual editor, import SQL DDL, or start from templates.Read 30 Sep 2026 · synthforge.io
Plans and prices
Strong points and limits
Strong points
- 152 field types across 19 categories
- Preserves foreign-key relationships during generation
- Exports CSV, SQL, JSON, JSONL, and Parquet
- Free plan includes first 20,000 rows
- Supports API keys and hosted MCP beta
Limits
- No free trial
- Downloads capped at 1 GB
- Does not de-identify production data
- No SOC 2 or HIPAA attestation
Who it suits
It suits application developers, QA engineers, and data engineers needing realistic relational, tabular, document, or ML training datasets. It also fits teams using APIs, command-line jobs, or compatible MCP clients.
Verdict
SynthForge IO combines schema-based generation, relational integrity, broad export formats, and API access. Check its row, download, storage, and data-handling limits before using it with production-derived schemas.
Where Specifiction places it
- Synthetic Data Generation Software#13 of 297.8