Developer’s Description

DATPROF Match

By DATPROF

This software will help you with identifying duplicate records and solve it. DATPROF Match will not only identify exact pairs, also records with capitals, typos, partial matches or different uses of diacritical marks are marked as a possible match. The software supports CSV, text, Excel, Access, Oracle and SQL Server. DATPROF Match features an easy to use wizard for fast deduplication. For advanced matching, users can define segments to distinguish values in different groups. For example the name Chris Johnson living in New York, will not be matched with Chris Johnson living in Cambridge. Besides segmenting, users can also choose different cleaning and matching options to gain better match results. DATPROF Match is extremely fast using multi-core CPU’s, segments and parallel processing. Besides the user version, also a component version is available for integration in CRM applications to prevent entering duplicate records as well in data warehouse application for integration purposes

WHAT’S YOUR CHALLENGE?

MY TEST DATA IS…

Not compliant

It contains personally identifiable information so it doesn’t comply with privacy regulations like PCI, HIPAA and GDPR.

Time consuming

Provisioning and refreshing test data takes too much time because of its size and the complexity of the process.

Too expensive

Creating and maintaining multiple test data environments for multiple teams causes high storage and infrastructure costs.

THE POWER OF TEST DATA AUTOMATION

Test data is key for every software team. If you can’t manage your test data, eventually your team will slow down. From data generation to data masking and subsetting solutions, DATPROF delivers test data whenever and wherever testers and developers want. TransValue B.V., a private limited company incorporated under Dutch law trading under the name of DATPROF, having its registered office in Groningen and its business address at 9743 Groningen, Friesestraatweg 213 b, registered with the Chamber of Commerce of Groningen under number 02088916, hereinafter referred to as ‘Licensor’, and The legal entity or the natural person that makes use of DATPROF, hereinafter referred to as ‘Licensee’, Whereas: • Licensor holds the licensing, marketing, distribution and maintenance rights for computer software, which software is distributed under brand names whose rights belong to or have been given in license to Licensor. • Licensor integrates this software in a professional and optimal manner in highly sophisticated software products to solve complex data quality and data integration issues and supplies this Software under the DATPROF label. • Licensee has declared its intention to use the Licensor’s Software. • The present License Agreement applies to the use of the Software within the European Union, the United Kingdom and/or within the United States of America. • By undersigning this SLA or Using the Software, Licensee agrees to be bound by the terms of the SLA. This SLA governs Licensees Use of the Software • If Licensee does not agree to the terms and conditions hereof Licensee is not entitled to Use the Software.

List and comparison of the Best open source free Data Masking Tools Available in the Market:

Data Masking is a process that is used to hide data.

In Data masking, actual data is masked by random characters. It protects the confidential information from those who don’t have the authorization to sight it.

The main purpose of data masking is to shield complex and private data in conditions where the data might be noticeable to someone without their permission.

DATPROFs mission is to improve the accessibility and availability of test data for software engineers developers, testers and QA team. Our motto is The right test data in the right place at the right time. We help with continuous test data, test data automation, data masking and data subsetting, making sure that as an organization you’ll have the right test data compliant and with the best accessibility.

DATPROF Features

Features are displayed in alphabetical order.

Compliance Management

Customer Database

Data Analysis Tools

Data Migration

Data Quality Control

Data Security

Master Data Management

User Management

Beyond DLP and Comet Backup stand out as its top competitors based on similarity, popularity and user reviews. When comparing DATPROF to its top 100 alternatives, Malwarebytes Endpoint Protection has the highest rating, with Tableau as the runner-up, and DATPROF ranking 49th place. Malwarebytes Endpoint Protection has the most reviews with a total of 2,234, while DATPROF has 5. Users say Malwarebytes Endpoint Protection tops the list for value for money followed by Google Cloud Platform, while DATPROF comes in 43rd. Users also say Malwarebytes Endpoint Protection and Google Cloud Platform are the easiest to use, while DATPROF takes 42nd place.

What are the top 5 alternatives to DATPROF?

About DATPROF

Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, data automation are our core business.

We see and understand the struggle and challenge of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues:

– Obfuscating, generating or masking databases and flat files;
– Extracting or filtering specific data content with our patented subset algorithm;
– Discovering, profiling and analysing solutions for understanding your test data,
– Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and
– Delivering a portal where test data can be refreshed within a few mouse clicks.

2 Table of contents TABLE OF CONTENTS GENERAL Introduction Concepts Generic steps INSTALLATION DATPROF Subset Licence DB2 for Linux, Unix and Windows AN INTRODUCTION TO DATPROF SUBSET Open new or existing project Screen: Project settings Screen: Development Screen: Deployment Menu bar WORKING WITH DATPROF SUBSET – PROJECT SETTINGS Source database and Target database Oracle Microsoft SQL Server DB2 for Linux, Unix, Windows (LUW) DB2 for iseries Validate Project settings Importing Metadata Selecting tables for importing Selecting Foreign Keys Importing Metadata Importing Metadata using a DME file Synchronize Metadata Schema mapping WORKING WITH DATPROF SUBSET DEVELOPMENT Start table Define a Filter Start table properties Tab: Columns Tab: Foreign Keys Tab: Comment Classification Page 2

3 5.2.1 Classification: Subset Classification: Full Classification: Empty Classification: Unused Suggest Table details Tab: Columns Tab: Foreign keys Tab: Comments Tab: Dependencies Tab: Additional Filter Tools Filtering Labels Count rows Visualizing the data model Process model visualization Script Manager WORKING WITH DATPROF SUBSET: DEPLOYMENT Deployment options Tab: Settings Tab: Advanced Tab: Logging Tab: Comments Start Subset Options during Deployment Errors during Deployment CONSOLE VERSION General Licence APPENDIX: FAQ Page 3