If you're looking for a Snaplet alternative, Tonic is worth a serious evaluation. Tonic speeds up engineering velocity by creating realistic, secure test data that matches the complexity of production data without compromising privacy. It offers on-demand data for staging environments that are fast and efficient. It ensures consistency and freshness across environments. Tonic connects to a variety of data sources and offers a pay-as-you-go pricing plan starting at $199/month, so it should be adaptable for teams that want to build faster and better while protecting privacy.
Another serious alternative is Gretel Navigator, a compound AI system that creates, edits and amplifies tabular data. It comes in two modes: Create, which generates plausible data when none exists, and Edit, which lets you modify and interpolate data with SQL or natural language prompts. Gretel Navigator is good for training foundation models, fine-tuning large language models and creating evaluation datasets. It also includes a real-time inference API for generating custom datasets, something you can build into data services with an SDK.