Name: How to Generate Test Data With Test Data Cases
Uploaded: 2021-05-26T06:26:24.000Z
Duration: 3 min 40 s
Description: How to Generate Test Data With Test Data Cases in GenRocket

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Collaboration

Contract Management

Enterprise Legal Management

Environmental Health and Safety (EHS)

Meeting Management

Procurement

VoIP

Enterprise

Accounting

Expense Management

Spend Management

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Browser

Cloud Cost Management

Cloud Storage

Component Content Management

Converged Network Adapters (CNAs)

Data Center Infrastructure Management

Data Observability

Data Pipeline

Extended Detection and Response (XDR)

Fraud Detection

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Internet of Things (IoT)

Interoperability

Managed Print

Network Performance Monitoring

Password Management System

Release Management

Remote Support

Session Border Controllers

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Audio Editing

Content Management

Creative Collaboration

Direct Mail Automation

Email Marketing

Gamification

Intent Data

Marketing Analytics

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Headless eCommerce

Multichannel Retail

Presales

Sales Intelligence

Sales

Certificate Lifecycle Management

Security

Architecture

Commercial Drone

Construction Accounting

Hotel Management

Loan Servicing

Oil and Gas

Public Sector Software

Telemedicine

Vendor Neutral Archive (VNA)

Vertical-Specific

Find top rated software and services based on in-depth reviews from verified users. 400+ software categories including PaaS, NoSQL, BI, HR, and more.

SAP HANA Cloud

Presto

Open Source

Denodo

Informatica PowerCenter (legacy)

Discontinued Products

Excel Chart Animation

Labdg

Starburst Enterprise

Starburst Data

TIBCO Data Virtualization

TIBCO Software Inc.

Oracle Data Service Integrator

Oracle

Red Hat JBoss Data Virtualization

Red Hat

Actifio Sky

Actifio

AtScale

AtScale Inc

Clarity by Quorum Cyber

Quorum Cyber

### Test Data Management
Users consistently praise GenRocket for its robust test data management capabilities, highlighting its ability to efficiently handle complex data requirements and create high-quality test data. The tool's flexibility in modeling test data based on user-defined rules, along with its fast generation speed and customization options, has garnered positive feedback. Additionally, users appreciate the tool's user-friendly interface, extensive built-in generators, and helpful documentation, making it a valuable asset for test data management tasks.

### Data Quality and Performance
Users consistently praise GenRocket for its exceptional data quality and performance capabilities. Reviewers highlight the tool's ability to generate significant volumes of test data for performance and load testing efficiently. The flexibility in defining data rules, customizability, and fast generation speed are key factors contributing to the positive user sentiment towards GenRocket's data quality and performance functionalities. Additionally, the comprehensive documentation and supportive team members further enhance users' experience with the tool in ensuring high-quality test data for various testing scenarios.

### Data Generation Techniques
Users unanimously praise GenRocket's robust data generation capabilities. The tool's ability to create conditioned data models quickly and efficiently has garnered high acclaim. Users appreciate the flexibility and customizability of the design, allowing for the generation of test data that adheres to complex business constraints. Additionally, the extensive library of built-in generators and output data formats, coupled with the tool's fast generation speed, have been highlighted as key strengths. The willingness of the GenRocket team to collaborate and provide tailored solutions further enhances the overall user experience.

### Synthetic Data Modeling
Users unanimously praise GenRocket's exceptional synthetic data modeling capabilities. Reviewers highlight the tool's flexibility in designing test data based on user-defined rules, referencing fields, and generating reusable patterns. The quick learning curve, convenient user interface, and fast data generation make it a preferred choice for creating test data for performance testing. Additionally, the richness of built-in generators, diverse output data formats, and comprehensive documentation further enhance the overall user experience. Despite some minor suggestions for improvement in data cloning, sub-setting, and masking features, GenRocket's synthetic data modeling functionality remains highly regarded among users.

Users frequently recommend GenRocket for its comprehensive database management capabilities. They have found that the platform is able to handle the entire database at all levels, making it a convenient choice for Enterprise Test Data management.

Another common recommendation is the convenience of using as many functions as possible within GenRocket. Users appreciate the wide range of features and tools available, allowing them to efficiently manage and manipulate their test data.

Many users believe that GenRocket is a good investment and the right choice for their test data management needs. They see it as a valuable tool that provides efficient and effective solutions, making it worth the investment for their organizations.

GenRocket has proven to be an invaluable tool for a variety of industries and use cases. Users have found that the ability to create large amounts of data tests has greatly aided in testing clients' websites and making changes to their own company's website, resulting in improved website functionality and client satisfaction.

Another key use case is the generation of synthetic data for testing HIPAA, PII, and similar features to support data loss prevention products. By using GenRocket, users have been able to ensure the quality of their products before release, reducing the risk of data breaches and ensuring compliance with industry regulations.

In addition, the software has been particularly useful in quickly creating data for Mainframe test environments. Users have reported that using GenRocket significantly reduces cycle time and effort compared to previous methods involving Excel macros, ultimately improving the efficiency of their testing processes.

Furthermore, GenRocket has been instrumental in collecting and masking customer data. This allows for the use of live masked data while providing data on the fly to automation scripts as part of the DevOps cycle. By utilizing this feature, users have experienced increased efficiency and accuracy in their testing procedures.

The ability to generate synthetic data for complex XML schema structures has also been highly beneficial. Users have seen reduced cycle times and higher test coverage in various scenarios, enabling them to thoroughly test their systems and identify any potential issues before deployment.

Users working within insurance projects appreciate the ease and cost-effectiveness of GenRocket. The tool enables them to generate consistent and realistic test data, especially for edge cases, negative testing, and future financial periods – all critical factors in ensuring accurate and reliable insurance systems.

For users within financial institutions in Europe dealing with a mix of old and new technology with multiple integrations, GenRocket has become a valuable solution. It allows them to generate test data that complies with data protection regulations, particularly important since the implementation of GDPR. This capability helps users maintain compliance while efficiently testing their systems.

Overall, GenRocket addresses a wide range of business problems across industries. By providing users with the ability to generate large amounts of data tests, improve product quality, reduce cycle time, mask customer data, tackle complex XML schemas, and comply with data protection regulations, GenRocket is a powerful tool that enhances testing processes and ultimately contributes to the success of various projects.

Variety of Database Test Methods: Users have praised the excellent variety of methods available for constructing a database test in GenRocket, allowing them to choose the method they feel most comfortable with.

Readability of SQL Databases: Many users have found GenRocket's ability to read a SQL database as a source of information to be perfect and extremely helpful in handling different versions of data source models.

Excellent Technical Support: Customers consistently mention their positive experience with GenRocket's technical support. They describe it as excellent, appreciate the availability of quick support, and note that the support team listens carefully to their needs.

Web Version Improvement: Some users have mentioned that the web version of GenRocket could benefit from further enhancements, but overall consider it to be a minor issue in comparison to the software's capabilities.

Lack of Enhanced Tooltips: Several reviewers have expressed a desire for enhanced tooltips within GenRocket, which would provide additional guidance and clarification while using the software.

Confusing Initial Configurations: A number of users have found the initial configurations after installation to be confusing, indicating a need for improved clarity and user-friendliness in this area.

GenRocket is a provider of synthetic test data headquartered in Ojai, working closely with IT services companies and enterprise customers to reduce cycle times and increase the quality of software development and testing caused by a lack of test data. GenRocket boasts users among over 50 of the world's largest organizations in banking, financial services, insurance and healthcare.

Premium

Corporate

Unlimited

SAP HANA is an application that uses in-memory database technology to process very large amounts of real-time data from relational databases, both SAP and non-SAP, in a very short time. The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk which means that the data can be accessed in real time by the applications using HANA. The product is sold both as an appliance and as a cloud-based software solution.

GenRocket

Data virtualization tools provide a virtual abstraction layer for multiple sources of data without copying or moving the data. This layer hides the technical aspects of stored data like location, structure, access language and storage technology. Data virtualization tools allow many different data sources to act as a single, consistent source for data consumers.

Data Virtualization

GenRocket Bank Solutions Demo with Test Data Cases

How to Generate Test Data With Test Data Cases in GenRocket

How to Generate Test Data With Test Data Cases

Data Visualization

Data Visualization software features help clients and businesses better visualize and present data.

Data Visualization Options

Provides a wide range of customizable data visualization options such as charts, graphs, maps, and tables to effectively present data.

Interactivity

Enables users to interact with the visualizations by clicking, hovering, zooming, or filtering to explore the data further.

Data Import and Export

Allows users to easily import data from various sources like databases, spreadsheets, CSV files, and APIs, and export visualizations for sharing or further analysis.

Dashboard Creation

Allows users to create interactive dashboards by combining multiple visualizations and data components into a single layout for a comprehensive view of data.

Customization Capabilities

Offers options to customize colors, styles, labels, fonts, and other design elements to tailor visualizations to specific needs and branding.

Data Filtering and Sorting

Enables users to filter and sort data within visualizations based on specific criteria to focus on relevant information and trends.

Project Collaboration Tools

Provides features for multiple users to collaborate on data visualizations simultaneously, share insights, and work on projects together.

Real-time Data Updates

Supports real-time data streaming and updates to ensure that visualizations reflect the most current information and changes.

Cross-platform Accessibility

Allows users to access and view data visualizations on different devices and platforms such as desktops, tablets, and smartphones.

Data Analytics Integration

Integrates with data analytics tools and platforms to perform advanced data analysis, derive insights, and enhance visualization capabilities.

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Home

Data Virtualization Tools

GenRocket

Overview

What is GenRocket?