What do you like best about IBM Guardium Data Protection?
What I like best and the most helpful cases of IBM Gaudium Data Protection are best in class features like:
1. Real Time Data Monitoring and Auditing
Tracks all data in real time, making sure that to show, who accessed sesnsitive data, when and how.
2. Automated Comliance Management
IBM Gaurdium has ready to go templates for regulation like GDPR, SOX, PCI DSS, HIPPA simplifying compliance processes, reducing manual effort and errors
3. Threat Detection with User Behaviour Analytics(UBA):
One of the foremost feature, which I like best about the IBM Gaurdium is, using machine learning and behaviour analytics to detect anomalies, such as privileged account misues, suspicious data downloads, and block suspicious activities befor they escalate.
4 .Data masking and Encryption
It scans databases for misconfigurations, weak passwords, outdated versions and also it provies recommendations to address the vulnerabilities to make the database more secure.
5. Support for Multi-Cloud and Hybrid Environments
Monitor data across on-premises, cloud and hybrid infrastructures and also compatible with major cloud providers such as AWS, Azure and Google Cloud Review collected by and hosted on G2.com.
What do you dislike about IBM Guardium Data Protection?
The least helful aspects of IBM Gaudium Data Protection are as follows:
1. Complex Setup and Configuration
The first or the inital deployment is the most time consuming part and requires technical expertise, making it difficult for companies without specialized IT teams.
2. High Cost of Ownership
Licensing fees, infrastructure reqirements, ongoing maintanence costs makes it out of the box, option of small and medium businesses (SMBs).
3. Steep Learning Curve
The IBM Gaurdium hasn't got a very user friendly interface and it requires extensive training to understand and configure policies, reports, alerts and to make changes.
4. Performance Degradation
Continuous monitoring can lead to system performance degradation, when working with large datasets if not optimized properly
5. Limited NoSQL and Mordern Database Support
While it is a good option for SQL databases, it's support for NoSQL databases and unstructured data is very limited, making it hard to work with big data environments. Review collected by and hosted on G2.com.