Question: How can I generate production-like data for my database without having to manually update seed scripts?

If you want to generate production-like data for your database without having to update your seed script manually, Snaplet is a great option. This AI-based tool generates realistic data for relational databases like PostgreSQL, SQLite and MySQL. It can be used for local development, end-to-end testing and debugging, with features like data anonymization and smart filtering. Snaplet also offers a variety of pricing tiers, including a free option.

Another option is Tonic, which speeds up engineering velocity by generating test data that's secure, realistic and as complex as production. Tonic ensures compliance by offering de-identified datasets for local development and ensures data consistency and freshness across environments. It can be integrated with a variety of data sources and offers a pay-as-you-go pricing plan starting at $199/month.

For those who need a tool that can do a bit of everything, Gretel Navigator can generate, edit and amplify tabular data. It can be used to create plausible data from scratch or to modify existing data with SQL or natural language prompts. That makes it good for data augmentation, ML model evaluation and creating evaluation datasets, with real-time inference APIs for custom dataset generation.

Finally, MOSTLY AI offers a platform to generate and explore tabular data without having to write code. With a natural language interface and fully anonymous synthetic data generation, it can be used for high-accuracy data for AI/ML use cases. It's designed for enterprise customers and offers flexible pricing tiers, so it can be a good option for data sharing, AI/ML development and self-service analytics.