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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 Archiving data from outdated applications and historical transaction records is vital to ensure ongoing access for compliance inquiries and reporting purposes.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.
What is DTM Data Generator?
The test data generation engine is designed for speed and efficiency, boasting around 70 integrated functions along with an expression processor that empowers users to produce complex test data reflecting dependencies, internal structures, and relationships. Notably, this advanced tool autonomously inspects existing database schemas to pinpoint master-detail key relationships, all without needing any action from the user. In addition, the Value Library provides a rich array of predefined datasets covering various categories, such as names, countries, cities, streets, currencies, companies, industries, and departments. Features like Variables and Named Generators make it easy to share data generation attributes among similar columns, enhancing productivity. Moreover, the intelligent schema analyzer contributes to creating more realistic data without requiring additional changes to the project, while the "data by example" function simplifies the task of enhancing data authenticity with very little effort. Ultimately, this tool is distinguished by its intuitive interface, making the process of generating high-quality test data not only efficient but also accessible for users of varying expertise. Its combination of automation and rich features sets a new standard in test data generation.
Integrations Supported
Firebird
IBM Db2
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
IBM Informix
InterBase
MySQL
PostgreSQL
SQL Server
Integrations Supported
Firebird
IBM Db2
IBM ILOG CPLEX Optimization Studio
IBM InfoSphere Optim Data Privacy
IBM Informix
InterBase
MySQL
PostgreSQL
SQL Server
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/analytics/optim
Company Facts
Organization Name
DTM Data Generator
Company Website
sqledit.com/dg/
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