NetApp BlueXP Classification (formerly NetApp Cloud Data Sense) uses artificial intelligence-driven technology to provide data governance across the entire data estate. Users can pinpoint cost-savings, identify compliance and privacy concerns, and find optimization opportunities.
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Oracle Data Masking and Subsetting
Score8 out of 10
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Oracle Data Masking and Subsetting is designed to help database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by discarding unnecessary data.
NetApp Cloud Data Sense (Cloud Compliance) is an AI algorithm that improves the way you interact with your data. We have used Cloud Compliance and it is effective and suited in Automatic discovery, mapping, and classification of all data. It simplifies discovery, classification, and labeling with powerful automation. It gives an accurate list of data sources, has a great analysis feature. We also used it to handle data in discernment. Cloud Compliance is appropriate and effective in all professional tech settings, from SBO to high industrial performance.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The tool is excellent when you need to provide all the details about your clients, yet hide their identity - all while maintaining the referential integrity of the data (so child-records of the masked parent record and maintain the same fake ID of the parent).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It offers several ways in which you can mask your data; for example, you can choose to replace all names with "real fake names", or choose to replace all SSNs with existing SSNs, but randomly assigned. You control the algorithm.
It works on non-Oracle databases as well (in our case, we use it for both Oracle and SQL/Server).
The overhead is minimal (it doesn't take long to run, and it doesn't consume too many system resources.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
In contrast to others, NetApp Cloud Data Sense is driven by more powerful AI algorithms that have given space for efficient automated controls and reporting that enables users full privilege over their data. The automatic discovery is trusted, with maps and data classification. Then others analyze well, structured and unstructured data in the cloud, also visualize data better.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We also looked at Delphix: the tool was quite powerful, easy to use, and competitive from a cost standpoint. However, since our entire data warehouse environment is built on the Oracle technology stack, it made sense to us to use the Oracle product here, as it integrates very well with other Oracle database and ETL products.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have many compliance regulations we need to adhere to. Without this tool, we were always taking a risk of exposing client information, and get penalized by the State of the Feds (the financial consequences are significant).
So while the tool doesn't save us money directly, it greatly reduces the risk we had been taking all these years. To some degree, this is much like an insurance policy.
Given the above, it also allows us to share information with other departments/agencies, in situations where before we simply couldn't take the risk of exposing client information.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
