Software Alternatives & Reviews

Lenses VS DATPROF Privacy

Compare Lenses VS DATPROF Privacy and see what are their differences

Lenses logo Lenses

Discover our high quality range of over 40 interchangeable camera lenses including A-mount and E-mount lenses crafted for a range of shooting situations.

DATPROF Privacy logo DATPROF Privacy

✔ Mask or anonymize privacy sensitive data ✔ Generate synthetic test data ✔ Consistent over multiple applications and databases
  • Lenses Landing page
    Landing page //
    2023-06-25
  • DATPROF Privacy Landing page
    Landing page //
    2021-11-02

Modern software development requires realistic and representative test data. DATPROF Privacy masks your test data and generates synthetic data. Your customer data is protected, but software teams can still use representative test data.

Lenses features and specs

No features have been listed yet.

DATPROF Privacy features and specs

  • Data Masking: Yes
  • Data Generation: Yes
  • Data Anonymization: Yes

Lenses videos

Best contact lenses ?? || best grey and blue lenses

More videos:

  • Review - Cheap Grey & Hazel Contact Lenses on Dark Indian/Black Eyes from Amazon | Affordable Colour Lenses

DATPROF Privacy videos

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Category Popularity

0-100% (relative to Lenses and DATPROF Privacy)
Stream Processing
100 100%
0% 0
Development
0 0%
100% 100
Data Management
100 100%
0% 0
Software Testing
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Lenses and DATPROF Privacy, you can also consider the following products

Egnyte - Enterprise File Sharing

DATPROF - We simplify getting the right test data in the right place at the right time.

Segment - We make customer data simple.

IBM Infosphere Optim - Structured Data Archiving and Application Retirement

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Test Data Management - Learn how Informatica's intelligent data security TDM solution allows automated provisioning of masked and synthetically generated data to meet the needs of test, development, and QA teams.