Synth is an open-source data generation tool that uses a declarative configuration language to create realistic, anonymized datasets for development, testing, and continuous integration. It addresses the need for privacy-compliant data by enabling users to generate consistent data models that mimic production environments without exposing sensitive information.
Funding
Funding not disclosed
Founders
Product
Problem
Generating realistic, production-like data for development, testing, and CI/CD pipelines often requires exposing sensitive information or creating datasets manually, which is time-consuming and inconsistent. Existing data generation methods may lack the ability to accurately represent complex data models and relationships, leading to inadequate testing and potential production issues.
Solution
Synth is an open-source, data-as-code tool that enables users to generate consistent, scalable, and realistic datasets using a declarative configuration language. It allows defining data models as code, specifying constraints, relations, and semantic types to create anonymized data that mimics production environments without exposing sensitive information. Synth supports importing data from existing sources to automatically create accurate data models and is database agnostic, working with both SQL and NoSQL databases. The platform provides a CLI workflow for generating data and supports thousands of semantic data types, such as credit card numbers and email addresses.
Target Audience
Synth is primarily targeted towards software developers, data engineers, and QA teams who need to generate realistic, anonymized data for development, testing, and continuous integration purposes.
Features
- Declarative configuration language for defining data models as code
- CLI workflow for generating consistent data in a scalable way
- Anonymization of sensitive production data
- Support for generating time series and relational data
- Easy import of data from existing sources
- Database agnostic, supporting SQL and NoSQL databases
- Generation of thousands of semantic data types