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What is IRI RowGen?

IRI RowGen creates billions of safe and intelligent rows of test data tailored for various targets such as databases, flat files, and formatted reports by leveraging metadata instead of actual data. This powerful tool synthesizes and fills databases with accurate relational test data that mirrors the characteristics of your production data. By utilizing existing metadata or generating it dynamically, RowGen can either randomly create structurally and referentially accurate test data or select it from real datasets. Moreover, it offers the flexibility to customize data formats, volumes, ranges, distributions, and additional properties either on the fly or through reusable rules, which aids in achieving key objectives like application testing and subsetting. Powered by the IRI CoSort engine, RowGen ensures the fastest generation, transformation, and bulk loading of large test datasets available in the market. Developed by experts in data modeling, integration, and processing, RowGen is designed to efficiently produce compliant test sets in both production-ready and customized formats. With RowGen, you can easily generate and provision synthetic test data that is safe and intelligent for various purposes, including DevOps, database validations, data visualizations, and data warehousing prototypes, all without needing access to production data. This capability not only enhances testing efficiency but also significantly reduces the risks associated with using sensitive production data.

What is IBM InfoSphere Optim?

Proper management of data throughout its entire lifecycle is crucial for organizations to meet their business goals while reducing potential risks. Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes. By distributing data across different applications, databases, operating systems, and hardware, organizations can improve the security of their testing environments, accelerate release cycles, and decrease expenses. Failing to implement effective data archiving can lead to significant degradation in the performance of essential enterprise systems. Tackling data growth directly at its origin not only enhances efficiency but also minimizes the risks associated with long-term management of structured data. Moreover, it is important to protect unstructured data within testing, development, and analytics settings throughout the organization to preserve operational integrity. The lack of a solid data archiving strategy can severely impact the functionality of critical business systems and hinder overall success. Consequently, taking proactive measures to manage data effectively is fundamental for cultivating a more agile, resilient, and competitive enterprise in today's fast-paced business landscape.

Media

Media

Integrations Supported

Azure DevOps
IBM Db2
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
IRI CoSort
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI Voracity
Oracle Database
Splunk Enterprise

Integrations Supported

Azure DevOps
IBM Db2
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
IRI CoSort
IRI Data Manager
IRI Fast Extract (FACT)
IRI FieldShield
IRI NextForm
IRI Voracity
Oracle Database
Splunk Enterprise

API Availability

Has API

API Availability

Has API

Pricing Information

$8000 on first hostname
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IRI, The CoSort Company

Date Founded

1978

Company Location

United States

Company Website

www.iri.com/products/rowgen

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/optim

Categories and Features

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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