What is Gretel?
It gives you the first and only APIs to enable you to balance, anonymize, and share your data. With privacy guarantees.
Gretel is a tool in the Data Transfer category of a tech stack.
Gretel is an open source tool with 521 GitHub stars and 82 GitHub forks. Here’s a link to Gretel's open source repository on GitHub
Who uses Gretel?
Developers
Gretel Integrations
Gretel's Features
- Improve limited datasets with synthetic data
- Create synthetic data with privacy guarantees
- Power testing environments with anonymized data
Gretel Alternatives & Comparisons
What are some alternatives to Gretel?
Requests
It is an elegant and simple HTTP library for Python, built for human beings. It allows you to send HTTP/1.1 requests extremely easily. There’s no need to manually add query strings to your URLs, or to form-encode your POST data.
AWS Data Pipeline
AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
HTTP/2
It's focus is on performance; specifically, end-user perceived latency, network and server resource usage.
Embulk
It is an open-source bulk data loader that helps data transfer between various databases, storages, file formats, and cloud services.
Google BigQuery Data Transfer Service
BigQuery Data Transfer Service lets you focus your efforts on analyzing your data. You can setup a data transfer with a few clicks. Your analytics team can lay the foundation for a data warehouse without writing a single line of code.
