Looking for alternatives or competitors to Hazy? Other important factors to consider when researching alternatives to Hazy include ease of use and reliability. The best overall Hazy alternative is IBM watsonx.ai. Other similar apps like Hazy are Tonic.ai, MDClone, MOSTLY AI Synthetic Data Platform, and YData. Hazy alternatives can be found in Synthetic Data Tools but may also be in Data Science and Machine Learning Platforms or Data Masking Software.
IBM Watsonx.ai is an advanced AI and machine learning platform designed to accelerate enterprise AI adoption, offering a comprehensive suite of tools for businesses to build, deploy, and scale AI applications. The product is part of IBM's broader Watsonx ecosystem, which aims to democratize AI by providing accessible, powerful solutions tailored for organizations of all sizes and industries.
Tonic.ai is a synthetic data generator with one goal in mind: allowing you to make full use of your data, in full respect of your customers, collaborators, and the law. Our platform's data generation, de-identification, and subsetting tools help you streamline your workflows, decrease outages, and iterate faster without putting any real data at risk. Using pre-trained models and feature extraction, Tonic preserves the constraints, statistical correlations, distributions, and interdependencies that make your data unique. Accelerate your development cycle while advancing data security with synthetic data that looks, acts, and feels as real as its source.
MOSTLY GENERATE is an enterprise-grade Synthetic Data Platform that preserves significantly more information and data value than any other data anonymization technique on the market. It enables you to overcome the barriers to AI and Big Data adoption. All while securely protecting your customers’ privacy.
Elevating data and privacy in a world moving towards AI. Great experiences do not need to come at the expense of users' privacy and security. Rather, privacy and security can help support great experiences. We provide privacy and synthetic data tools.
Tumult Analytics is an open-source Python library making it easy and safe to use differential privacy; enabling organizations to safely release statistical summaries of sensitive data. Tumult Analytics is running in production at institutions such as the U.S. Census Bureau, the Wikimedia Foundation, and the Internal Revenue Service. It is easy to use, it can scale to datasets with billions of rows, it integrates with common data science tools, and it supports advanced features to maximize the value extracted from protected data.
CA Test Data Manager uniquely combines elements of data subsetting, masking, synthetic, cloning and on-demand data generation to enable testing teams to meet the agile testing needs of their organization. This solution automates one of the most time-consuming and resource-intensive problems in Continuous Delivery: the creating, maintaining and provisioning of the test data needed to rigorously test evolving applications.