Redgate SQL Prompt vs Snowfakery
Redgate SQL Prompt
red-gate.comSnowfakery
snowfakery.readthedocs.ioSide by side
| Figure | Redgate SQL Prompt | Snowfakery |
|---|---|---|
| Price from | $17.50/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Windows | Yes | — |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Test Data Generation Tools | 7.5 (#18) | 7.9 (#8) |
| Intended users | Redgate describes SQL Prompt as a productivity add-in for SQL Server developers working in SSMS or Visual Studio. | The documentation describes installation paths for Salesforce users and for users who want to use Snowfakery without Salesforce. |
| Purpose | SQL Prompt is an add-in for SQL Server Management Studio and Visual Studio that completes, formats, analyzes, fixes, and refactors SQL code. | Snowfakery generates unique, random fake data with relationships between tables from YAML recipe files. |
Plans
Redgate SQL Prompt
- SQL PromptPriced on request
- SQL Prompt$210 a year
- SQL Toolbelt Essentials$1,410 a year
In their own words
Redgate SQL Prompt
Redgate SQL Prompt has no write-up on Specifiction yet; its figures are above.
Snowfakery
Snowfakery generates synthetic data from YAML recipe files, including records linked across tables. Recipes can create names, addresses, text, URLs, random numbers and other values using Faker-based functions, and specify how many related objects to generate. Output can go to files in JSON, TXT, CSV, SQL, DOT, SVG, SVGZ, JPEG and PostScript formats; some diagram formats require Graphviz. Snowfakery can also write to databases accessible through SQLAlchemy, including SQLite, and generate records in Salesforce when used through CumulusCI. Python applications can embed it with its generate_data function, and Python plugins and providers can extend its functions and Faker capabilities. Strict mode checks a recipe before generation, while validate-only mode checks it without generating data. It is free, open source and self-hosted. The documentation says database output creates new tables, with generated columns as text, and that SQLite is the only database included in its SQL dataset URL test suite. The repository was archived on September 18, 2026, and is read-only.