Cloud TDMS

4.3
Expert ScoreRead review
  • Cloud-based test data management
  • Data generation, masking, and subsetting
  • Optimizes testing processes in the cloud

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Cloud Test Data Management System (TDMS) is a cloud-based test data management solution that provides data masking, data subsetting, and synthetic data generation capabilities. It is designed to help organizations ensure data privacy and compliance while reducing the size of test data sets. Cloud TDMS supports multiple database types and provides a user-friendly interface for defining and applying data masking and subsetting rules. Additionally, it offers features for creating synthetic test data that closely resembles real data while preserving data privacy.

4.3Expert Score
Cloud TDMS
  • Cloud-based test data management
  • Data generation, masking, and subsetting
  • Optimizes testing processes in the cloud
General Features
1.5
Flexibility
2.3
System Coverage
0
Data Coverage
7.5
Cost
10
PROS
  • Cloud-based solution
  • Supports multiple databases
  • Data masking and subsetting
CONS
  • Higher cost compared to some alternatives
  • Requires cloud infrastructure
  • May require technical expertise

Specification: Cloud TDMS

Generic Features
Synthetic Test Data Creation

Single-Click Test Data Generation

Data Masking

Auto-Detection of DB Constraints

Identically Repeatable Data Generation

On Demand Data Refresh (Watermark)

Database Subsetting

Multi-Database Subsetting

Job Scheduling

Continuous Integration Support

Advanced Features
Consistency

Custom SELECTS

Data File Import

Deterministic Data Masking

Inter-column dependency support

Localization

Micro or Macrocosm Subsets

Multi-Table Seed Data

Primary And Foreign Key Synthesis

Primary & Foreign Keys Preserved

Privacy Verification

Schema change alerts

Unknown

Table Truncation

Extendibility & Customization
Custom Data Weighting

Custom Generator Support

Script Languages for data processing

User-Defined Generators

User-Defined Distribution Functions

User-Defined Number Series

Extension to custom software system types

Pluggability of individual script languages

User-Defined Data Converters

User-Defined Data Validators

Extension to individual file types

Unknown

Generation Types
Built-In Data Generators

100

Salesforce

Security, Accessibility, and Usability
API

Unknown

Audit Trails

Unknown

Collaboration

Unknown

Command-line interface

Unknown

GUI

Unknown

On-Premise Deployment

Role-Based Access Control

Unknown

Single Sign-On

Unknown

User Interface

WebApplication

Supported Systems
Advantage Database

Amazon Aurora

Amazon Redshift

Apache Spark

AWS S3

BaaN

Cassandra CQL

Databricks

DataWarehouse

dBase

EnterpriseDB (Postgres)

Firebase

Firebird

GCP (Google Cloud Storage)

Google BigQuery

IBM DB2

InfluxDB

Informix

Interbase

JD Edwards

JMS

Kafka

Microsoft Access

Microsoft SQL Server

MongoDB

MS Azure SQL

MySQL

NexusDB

Oracle

Oracle E-Business Suite

Oracle Transportation Management

Peoplesoft

PeopleSoft HCM

PostgreSQL

Siebel

Snowflake

SQL Anywhere

SQLite

Sybase

Terradata

Yellowbrick

Supported Formats
CSV

Fixed Column Width Files

Excel

XML

SQL

JSON

AVRO

EDIFACT

YAML

DbUnit XML

HTML

Licensing & Usage Tiers
Trial

Unknown

Free Plan

Available Editions

Business, Enterprise, Premium, Pro, Starter, Team

Max Users

unlimited

Maximum number of databases

Unknown

Source Database Limit

N/A

Email-Support

Unknown

Live Chat Support

Unknown

SLA

Premium

Support Languages

English

Dedicated Contact

Unknown

Pricing

Unknown

Specification
Multiprocessing

Unknown

AI features

Unknown

Complex JSON

Model-Based Data Generation

Higher cost compared to some alternatives

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