IBM InfoSphere Optim Test Data Management (TDM) and DATPROF compete in the test data management space. DATPROF has a slight edge over IBM InfoSphere Optim TDM in user satisfaction despite the latter's superior deployment and customer support scores.
Features: Users value IBM InfoSphere Optim TDM for its extensive data masking, subsetting, and realistic synthetic data generation. DATPROF is praised for its simplicity, ease of use, and strong data subset capabilities.
Room for Improvement: IBM InfoSphere Optim TDM could benefit from enhancements in data subset and masking processes and better integration with other tools. DATPROF users often mention the need for improved documentation and more advanced data profiling tools.
Ease of Deployment and Customer Service: IBM InfoSphere Optim TDM is recognized for comprehensive support and dedicated service teams that facilitate smoother deployment despite its complexity. While DATPROF is simpler to deploy, it occasionally receives feedback on needing enhanced support.
Pricing and ROI: IBM InfoSphere Optim TDM is often more expensive but offers strong ROI through advanced features and integration. DATPROF is noted for its cost-effectiveness, providing strong value for money with quicker realization of benefits.
Product | Market Share (%) |
---|---|
IBM InfoSphere Optim Test Data Management (TDM) | 7.8% |
DATPROF | 6.3% |
Other | 85.9% |
Company Size | Count |
---|---|
Small Business | 2 |
Large Enterprise | 8 |
Company Size | Count |
---|---|
Small Business | 1 |
Midsize Enterprise | 1 |
Large Enterprise | 14 |
DATPROF offers test data management solutions known for subsetting, easy maintenance, intelligent data modeling, and data protection features, suitable for businesses requiring efficient data handling and compliance across operations.
DATPROF is renowned for capabilities including collaboration without heavy supplier reliance, synthetic data generation, and data masking across applications. Its features allow flexible customization, integration with systems, and scalable masking. Users benefit from its intuitive design and efficient data management while seeking improvements in orchestration features, enhancing discovery-to-masking integration, and expanding APIs. Addressing requirements like template reusability, empty database functionality, and mainframe platform compatibility are focus areas. Suggestions for better synthetic data generation and mainframe alliances highlight future growth potential.
What are DATPROF's most valuable features?In industries requiring stringent data protection such as finance and healthcare, DATPROF is crucial for managing test databases, meeting CI/CD targets, and ensuring GDPR compliance. Teams leverage DATPROF for transitioning to cloud environments, masking sensitive data, and creating synthetic data, thereby supporting diverse IT environments.
IBM Optim solutions manage data from requirements to retirement. They boost performance, empower collaboration, and improve governance across applications, databases and platforms. By managing data properly over its lifetime, organisations are better equipped to support business goals with less risk.
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