If you're looking for a tool that offers on-demand access to de-identified datasets for local development and testing, Tonic is a good choice. Tonic speeds up engineering velocity by generating realistic, secure test data that matches production complexity without sacrificing privacy. It offers on-demand data for fast staging environments, ensuring consistency and freshness across environments while adhering to data privacy regulations. Tonic connects to a wide range of data sources and has a pay-as-you-go pricing model, so it's a good option for developers.
Another good option is MOSTLY AI, a synthetic data generation service from GenAI. It lets companies generate tabular data without programming, with a natural language interface for data exploration and analysis. MOSTLY AI offers fully anonymous synthetic data, which is good for privacy compliance, and high-accuracy data for AI/ML work. It's geared for enterprise customers and can be used for a variety of tasks including data sharing, AI/ML development and testing & QA.
If you're working with relational databases, Snaplet is a good option. It uses AI to create realistic, production-like seed data, letting developers free up time and get more accurate results. Snaplet has features like instant seed data generation, type safety and data anonymization with its premium feature called Snapshot. It's designed to work well in local development environments and end-to-end testing workflows, so it's a good tool for any developer.