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Loop Life

Data Generator

Synthetic Data Generation

Build Better
Data.

Create realistic synthetic data for development, testing, demonstrations, and supported data workflows with flexible generation tools built for modern environments.

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Live preview

CSVJSONSQLParquet
NameEmailPhone
Jordan Leejordan.lee@example.com503-555-0142
Lucia Navarrolucia.navarro@example.com955-014-8821
Misaki Satomisaki.sato@example.com06-5550-2218
Lena Hoffmannlena.hoffmann@example.com040-555-0194
Amir Hassanamir.hassan@example.com971-555-0160
Sofia Almeidasofia.almeida@example.com21-555-0133

Writing rows

File formats: SQL, CSV, JSON, XML, XLSX, Parquet, and Avro.

  • Realistic data

    A phone column gets a phone number. A product description gets a product.

  • Custom generators

    More than 400 field kinds, plus choice lists and presets.

  • Flexible output

    Export a file, or insert into the database from the same screen.

  • High performance

    Move from a short preview to a full development set on the same screen.

  • Windows and Linux

    Windows, Ubuntu, Debian, and Arch.

Field rules

  • Phone503-555-0142
  • Emailjordan.lee@example.com
  • Postal code97201
  • CompanyAcme Corp

Applying the rule

Your data. Your rules.

Define the structure. Choose the generators. Control the formats. Generate the data you need.

Define what you need. Configure how it should look. Preview the result. Generate the data. Deliver it where your workflow needs it.

Configure. Preview. Generate.

  1. Define

    Choose the fields. A layout can be saved and loaded again.

  2. Configure

    Set the field kind, a choice list, or a preset.

  3. Preview

    Inspect sample rows before anything is written.

  4. Generate

    Create the rows for that layout or that live table.

  5. Deliver

    Export a file, or insert into the database.

Generate the data your applications expect.

People & Identity is the default palette. The generator also walks healthcare, manufacturing, and IT.

  • Identity

    First name, last name, and the other name fields in that palette.

  • Contact

    Email, phone, address, and postal codes that stay in a valid shape.

  • Business

    A company description is a company. A product description is a product.

  • Identifiers

    IDs and SSNs, matched to the column.

  • Choice lists

    A field can draw from a list or a preset you set.

  • From the catalog

    Database Generation follows the column type, the nulls, and the keys.

Your data does not have to be generic.

Choice lists and presets sit on the field. Formats stay valid: a phone does not start with zero, and a postal code is a real postal code.

Illustration

membership_level

Choice list

  • Standard
  • Professional
  • Enterprise

Data that belongs together.

Auto Insert reads the live catalog and inserts in an order the foreign keys allow. Indexes are honored. Preview the rows, then write them.

  1. 1

    Customers

  2. 2

    Orders

  3. 3

    Order items

  4. 4

    Products

Generate directly where your data lives.

Insert Into Database writes from the generator. Auto Insert uses the saved connections on this computer.

  • PostgreSQL
  • SQL Anywhere
  • Oracle
  • Redshift
  • Databricks
  • Azure SQL
  • MongoDB
  • ClickHouse
  • MariaDB
  • DuckDB
  • SQLite
  • MySQL
  • SQL Server
  • Snowflake
  • BigQuery
View all supported connectors →

Generate data your way.

Export with the delimiter you need, or insert into the database from the same screen.

  • CSV
  • JSON
  • XML
  • Parquet
  • Text
  • Fixed width
  • Tab

From sample data to a full run.

Customer dataset

Illustration

Generating

Rows
1,000,000
Generated
742,518
Target
PostgreSQL

Build with synthetic data.

Create generated datasets for workflows where using production records is not necessary. Connections stay with the install. You do not paste a production password into a website to generate rows.

Generate data for a global world.

Display language is the workspace. Generation language fills names, addresses, and product titles. Twenty of each. They are not the same setting.

  • English
  • Español
  • 中文（普通话）
  • हिन्दी
  • Deutsch
  • العربية
  • Português
  • 日本語
Explore all languages →

Illustration · generation language

Jordan Lee · jordan.lee@example.com · Portland

Your generator. Your platform.

Loop Life Data Generator runs on Windows, Ubuntu, Debian, and Arch.

Generate. Then go further.

  1. Generate

    Data Generator

  2. Migrate

    Data Migration

  3. Transform

    Brain Wave ETL

  4. Query

    NeoSQL

Loop Life Data Generator

$39.99

Lifetime license · one seat

One payment. Own your Data Generator license for life.

Start free trial

Want all four Loop Life applications?

Build your first dataset.

Explore Loop Life Data Generator and see the workflow for yourself.

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14 days. No card. No purchase required.

Related

What is synthetic data? · PostgreSQL

Questions

Will generated rows break foreign keys?

Auto Insert reads the live catalog and inserts in an order the foreign keys allow. Preview the rows before it writes.

Can the menus be in one language and the data in another?

Display language is the menus. Generation language is the names, addresses, and product titles in the rows. Twenty of each.

What does a Data Generator license cost?

$39.99 once for this program, one seat. The 14-day trial is the whole suite, no card, seats not counted.

Build Better Data.

Create the data your applications, databases, and workflows need.

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Data without limits.

People. Data. A brighter tomorrow.