Pre-built Datasets
The best application for free pre-generated test data. Industry and use-case specific datasets—sign in to download in CSV, JSON, XML, or Parquet.
E-commerce Customers
Synthetic customer records for e-commerce: IDs, names, emails, signup dates, and country. Use for testing signup flows, segmentation, and CRM.
Finance Transactions
Sample financial transactions with IDs, amounts, dates, and categories. Suitable for dashboards, reconciliation tests, and fraud detection demos.
Healthcare Patients
Patient records with name, DOB, contact, and insurance type. For healthcare app demos and HIPAA-safe testing.
SaaS Users
User accounts with name, email, plan tier, and signup date. Ideal for subscription and product analytics.
Retail Inventory
Product SKUs with name, quantity, and warehouse. For inventory and warehouse management demos.
HR / Employees
Employee records with name, department, job title, and hire date. For HR systems and org charts.
Marketing Leads
Lead records with contact info, source, and created date. For CRM and marketing automation testing.
Logistics & Shipments
Shipment records with origin, destination, and status. For logistics and tracking demos.
Real Estate Listings
Property listings with address, price, beds, and baths. For real estate and MLS-style apps.
Education / Students
Student records with name, course, and grade. For LMS and school admin demos.
Insurance Claims
Claims with ID, amount, type, and date. For insurance and claims processing demos.
Banking / Accounts
Account records with balance, type, and opened date. For core banking and fintech demos.
E-commerce Orders
Order records with customer ID, total, item count, and status. For order management and analytics.
Subscription Analytics
Subscription records with user, plan, and churn risk. For subscription and retention analytics.
Support Tickets
Support tickets with subject, priority, status, and created date. For help desk and CRM demos.
Customer
Entity-consistent customer records across multiple source systems, run through a realistic corruption pass (Data Realism "Dirty / Fuzzy") to produce linked fuzzy-duplicate variants. For testing match and merge rules, survivorship, and golden record creation. Includes source_system, source_pkey, duplicate_group_id, and match_expected.
Patient
Entity-consistent patient records across EMR, Billing, and Registration, run through a realistic corruption pass (Data Realism "Dirty / Fuzzy") to produce linked fuzzy-duplicate variants. For testing match and merge configuration. Includes source_system, source_pkey, duplicate_group_id, and match_expected.
Provider
Entity-consistent provider records across Credentialing, EMR, and Billing, run through a realistic corruption pass (Data Realism "Dirty / Fuzzy") to produce linked fuzzy-duplicate variants. For testing match and merge configuration. Includes source_system, source_pkey, duplicate_group_id, and match_expected.
Organization
Entity-consistent organization records across CRM, ERP, and Billing, run through a realistic corruption pass (Data Realism "Dirty / Fuzzy") to produce linked fuzzy-duplicate variants. For testing match and merge configuration. Includes source_system, source_pkey, duplicate_group_id, and match_expected.
Product
Entity-consistent product records across Catalog, ERP, and Ecommerce, run through a realistic corruption pass (Data Realism "Dirty / Fuzzy") to produce linked fuzzy-duplicate variants. For testing match and merge configuration. Includes source_system, source_pkey, duplicate_group_id, and match_expected.
Vendor
Entity-consistent vendor records across Procurement, AP, and ERP, run through a realistic corruption pass (Data Realism "Dirty / Fuzzy") to produce linked fuzzy-duplicate variants. For testing match and merge configuration. Includes source_system, source_pkey, duplicate_group_id, and match_expected.