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What is Solix EDMS?

The Solix Enterprise Data Management Suite (Solix EDMS) integrates all essential tools for executing a successful Information Lifecycle Management (ILM) strategy. Offered through a unified web interface, this platform includes high-quality solutions for database archiving, management of test data, data masking, and the retirement of applications. The primary goal of Solix EDMS is to reduce costs, improve application performance and availability, and meet compliance standards. It empowers business users to access archived data universally through comprehensive text searches, structured SQL queries, and various forms and reports. In addition, Solix EDMS allows users to quickly identify seldom-accessed historical data from production applications and securely move it to an archive while ensuring data integrity and accessibility. The retention management feature of the system guarantees that archived data is stored for a designated period and can be deleted automatically or manually once it adheres to the data retention policy. By leveraging these functionalities, organizations can effectively optimize their data management workflows and enhance operational efficiency. Ultimately, Solix EDMS serves as a pivotal asset for businesses looking to refine their data governance practices.

What is DOT Anonymizer?

Safeguarding your personal information is of utmost importance, and generating data that seems authentic for software development is equally essential. DOT Anonymizer offers an effective solution that not only masks your testing data but also preserves its consistency across different data sources and database management systems. The likelihood of data breaches increases significantly when personal or identifiable information is utilized in non-production settings such as development, testing, training, and business intelligence. With a rise in regulations globally, organizations find themselves under greater pressure to anonymize or pseudonymize sensitive information. This strategy enables teams to work with believable yet fictitious datasets while retaining the original format of the data. It is critical to manage all of your data sources effectively to ensure their ongoing usability. Furthermore, you can seamlessly call DOT Anonymizer functions directly from your applications, ensuring uniform anonymization across all database management systems and platforms. Maintaining relationships between tables is also essential to ensure that the data remains realistic and coherent. The tool is adept at anonymizing various database types and file formats, such as CSV, XML, JSON, and others. As the need for data protection escalates, employing a solution like DOT Anonymizer becomes increasingly vital for preserving the integrity and confidentiality of your sensitive information. In a world where data privacy is paramount, leveraging such tools is not just beneficial but necessary for any organization committed to protecting its data assets.

Media

Media

Integrations Supported

Solix Test Data Management

Integrations Supported

Azure Cosmos DB
Couchbase
Elasticsearch
H2
IBM Db2
IBM Informix
JSON
MariaDB
MongoDB
MySQL
Oracle Cloud Infrastructure
PostgreSQL
SQL Server
Salesforce
XML

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Solix Technologies

Date Founded

2002

Company Location

United States

Company Website

www.solix.com/products/solix-enterprise-data-management-suite/

Company Facts

Organization Name

DOT Anonymizer

Company Location

United States

Company Website

www.acadsoftware.com/dot/

Categories and Features

Data Discovery

Not specified

Data Management

Not specified

Data Masking

Not specified

Test Data Management

Not specified

Categories and Features

Data Anonymization

Not specified

Data Masking

Not specified

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