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What is Subsalt?

Subsalt is an innovative platform that revolutionizes the use of anonymous data on a scale suitable for large enterprises. Featuring a sophisticated Query Engine, it expertly navigates the balance between data privacy and fidelity to the original information. The queries yield fully synthetic data that maintains row-level granularity and conforms to the original data structures, thus preventing any major disruptions. Moreover, Subsalt ensures compliance through external audits, meeting the stringent requirements of HIPAA's Expert Determination standard. It offers a variety of deployment models tailored to the unique privacy and security requirements of each organization, providing significant flexibility. With its SOC2-Type 2 and HIPAA certifications, Subsalt is designed to minimize the risk of exposure or breaches involving actual data. Its easy integration with current data systems and machine learning tools via a Postgres-compatible SQL interface streamlines the onboarding process for new users, significantly improving operational productivity. This cutting-edge strategy not only enhances data privacy but also establishes Subsalt as a frontrunner in synthetic data generation, paving the way for future innovations in the field. As businesses increasingly prioritize data security, Subsalt's solutions become even more essential for navigating the complexities of modern data governance.

What is DataCebo Synthetic Data Vault (SDV)?

The Synthetic Data Vault (SDV) is a robust Python library designed to facilitate the seamless generation of synthetic tabular data. By leveraging a variety of machine learning techniques, it successfully captures and recreates the inherent patterns found in real datasets, producing synthetic data that closely resembles actual scenarios. The SDV encompasses a diverse set of models, ranging from traditional statistical methods like GaussianCopula to cutting-edge deep learning approaches such as CTGAN. Users have the capability to generate data for standalone tables, relational tables, or even sequential data structures. In addition, the library enables users to evaluate the synthetic data against real data through different metrics, promoting comprehensive comparison. It also features diagnostic tools that produce quality reports to improve insights and uncover potential challenges. Furthermore, users can customize the data processing for enhanced synthetic data quality, choose from various anonymization strategies, and implement business rules through logical constraints. This synthetic data can not only act as a safer alternative to real data but can also serve as a valuable addition to existing datasets. Overall, the SDV represents a complete ecosystem for synthetic data modeling, evaluation, and metric analysis, positioning it as an essential tool for data-centric initiatives. Its adaptability guarantees that it addresses a broad spectrum of user requirements in both data generation and analysis. In summary, the SDV not only simplifies the process of synthetic data creation but also empowers users to maintain data integrity and security while still harnessing the power of data for insightful analytics.

Media

Media

Integrations Supported

Amazon Redshift
Amazon S3
Delta Lake
Google Cloud BigQuery
Microsoft Azure
Python
Snowflake

Integrations Supported

Amazon Redshift
Amazon S3
Delta Lake
Google Cloud BigQuery
Microsoft Azure
Python
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Subsalt Inc.

Date Founded

2021

Company Location

United States

Company Website

www.getsubsalt.com

Company Facts

Organization Name

DataCebo

Company Website

sdv.dev/

Categories and Features

Categories and Features

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