Compare DataGate vs. Oracle Data Safe in 2025

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Description

Effective and secure database access is crucial for the success of enterprise applications, and ASNA DataGate® delivers precisely that. It seamlessly interfaces with both IBM i and MS SQL Server® databases, offering exceptional record-level access to these systems while ensuring high performance and robust security. By decoupling the database access layer from .NET applications, ASNA Visual RPG applications can easily connect to either IBM i DB2 or Microsoft SQL Server without the need for significant alterations to the underlying database access code. This flexibility facilitates a smoother retargeting process, which is particularly advantageous in scenarios involving the migration of RPG applications to the .NET framework. With ASNA DataGate, organizations can confidently adapt their applications to different database environments, significantly enhancing their operational efficiency and adaptability.

Description

Data Safe serves as a comprehensive management hub for your Oracle Databases, enabling you to grasp the sensitivity levels of your data, analyze potential risks, and implement measures to mask sensitive information. It also facilitates the establishment and oversight of security protocols, user security evaluations, and user activity monitoring, while ensuring compliance with data protection regulations. Regardless of whether you're operating Oracle Autonomous Database, Oracle Database Cloud Service (including Exadata, virtual machines, or bare metal), or managing Oracle Databases within your own on-premises environment, Data Safe provides critical data security features that enhance your security posture and mitigate risks. Furthermore, it assists in assessing user risks by pinpointing crucial users, roles, and privileges, while allowing you to configure audit policies and gather user activity data to detect any anomalies. In addition, Data Safe aids in the identification of sensitive data, clarifying its locations, and minimizes risks associated with non-production data sets by effectively masking sensitive information. By leveraging these capabilities, organizations can foster a more secure data environment and maintain better control over their information assets.