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Load & performance testing

Half a million rows, every key valid.

Fill a staging database with up to 500,000 related rows in one dataset, with realistic skew, so your queries, indexes and pagination are tested against something that looks like production.

Free trial for every new account. No credit card.

A staging database filled for a load test: example SQL client query result in a Mac window (loadtest — PostgreSQL 16 — staging-db-01)
The example

A staging database filled for a load test

What to look for in the screenshot above. These are the details that usually break in hand-made or random test data.

What you get

01

Up to 500,000 rows per dataset

And more across several datasets within your plan's monthly records.

02

Realistic skew

Power-law activity, so hot rows and long tails show up in your query plans.

03

Loads in one command

One SQL script per dataset, wrapped in a transaction, for PostgreSQL, MySQL, SQL Server or SQLite.

04

Repeatable runs

Use a seed to load identical data before every benchmark.

How it works

From idea to dataset in three steps

1

Describe or upload

Describe your data in plain English, or upload your SQL schema for PostgreSQL, MySQL / MariaDB, SQL Server and SQLite.

2

Review the plan

Check the tables, columns and rules the AI proposes, and adjust anything you like.

3

Generate and download

Choose how many rows you need and download a ready-to-run SQL script, CSV, Excel (one sheet per table) or JSON.

Questions

How long does a 500,000-row dataset take?

Plain data of that size is typically ready in under a minute. Datasets with many AI-written fields take longer.

Can I generate more than 500,000 rows?

Yes, as several datasets, within your plan's monthly records.

Will the indexes be realistic?

Your DDL's indexes are kept, and the data's skew makes their selectivity realistic.

Build your own version of this example

Describe your tables or upload your schema. The free trial needs no credit card.

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