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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.
What is Aircloak Insights?
Aircloak Insights serves as a clear intermediary between data analysts and sensitive information, enabling analysts to perform queries as they typically would with SQL or visualization platforms like Tableau. When a query is made, Aircloak Insights modifies it based on the specific data backend, which may include SQL or extensive NoSQL databases. The results returned are guaranteed to be fully anonymized and aggregated, ensuring data privacy is maintained. Furthermore, Aircloak Insights seamlessly integrates into your current workflows, allowing users to access sensitive data through its web interface, Insights. Additionally, it supports integration with business intelligence tools such as Tableau and others that utilize the Postgres Message Protocol. For those looking to automate their analysis, Aircloak Insights also offers a RESTful interface that enables queries to be executed programmatically. This versatility makes Aircloak Insights a robust solution for managing sensitive data while maintaining security and compliance.
Integrations Supported
MongoDB
PostgreSQL
Azure Cosmos DB
Couchbase
Elasticsearch
H2
IBM Db2
IBM Informix
JSON
MariaDB
Integrations Supported
MongoDB
PostgreSQL
Azure Cosmos DB
Couchbase
Elasticsearch
H2
IBM Db2
IBM Informix
JSON
MariaDB
API Availability
Has API
API Availability
Has API
Pricing Information
€488 per month
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
DOT Anonymizer
Company Location
United States
Company Website
www.dot-anonymizer.com/data-masking/dot-anonymizer/
Company Facts
Organization Name
Aircloak
Date Founded
2014
Company Location
Germany
Company Website
aircloak.com
Categories and Features
Categories and Features
GDPR Compliance
Access Control
Consent Management
Data Mapping
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification