Compare Oracle Data Masking and Subsetting vs. SecurDPS Enterprise

Oracle Data Masking and Subsetting is ranked 22nd in Data Masking while SecurDPS Enterprise is ranked 21st in Data Masking. Oracle Data Masking and Subsetting is rated 0, while SecurDPS Enterprise is rated 0. On the other hand, Oracle Data Masking and Subsetting is most compared with , whereas SecurDPS Enterprise is most compared with .
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Ranking
22nd
out of 25 in Data Masking
Views
16
Comparisons
5
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
21st
out of 25 in Data Masking
Views
12
Comparisons
7
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Find out what your peers are saying about IBM, Broadcom, Delphix and others in Data Masking. Updated: May 2020.
420,062 professionals have used our research since 2012.
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Also Known As
Oracle Data Masking and Subsetting Pack
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Overview

Oracle Data Masking and Subsetting extracts entire copies or subsets of application data from the database, and masks sensitive data so that the data can be safely shared with test, development, and partners.

The Data-Centric Security approach focuses on protecting data at its earliest point, while de-protecting only when absolutely necessary
SecurDPS Enterprise deploys tokenization technology to anonymize and pseudonymize sensitive and personal data.

Our tokenization stands above the rest. SecurDPS Enterprise combines the comforte AG patented, stateless tokenization algorithm and the proven, highly scalable and fault-tolerant architecture.

Augmented by a broad range of integration options, SecurDPS Enterprise allow business applications to be implemented quickly with on-premise, multicloud, Big Data, and data warehouse deployments without changes in infrastructure or code.

SecurDPS Enterprise also deploys encryption technology in cases where the data-centric benefits of tokenization are not required.

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Sample Customers
IBVI, illycaffe, Scottish water, trueblue, AirAsiaIBM, infrasoft, CGI, 4techsoftware
Find out what your peers are saying about IBM, Broadcom, Delphix and others in Data Masking. Updated: May 2020.
420,062 professionals have used our research since 2012.
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