Data Migration vs Data Virtualization

Developers should learn data migration when moving legacy systems to modern platforms (e meets developers should learn and use data virtualization when building applications that need to integrate data from multiple heterogeneous sources (e. Here's our take.

Data Migration

Nice Pick

Developers should learn data migration when moving legacy systems to modern platforms (e

Pros

• g
• Related to: etl-processes, database-management

Cons

• Specific tradeoffs depend on your use case

Data Virtualization

Developers should learn and use data virtualization when building applications that need to integrate data from multiple heterogeneous sources (e

Pros

• g
• Related to: data-integration, etl

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Data Migration is a methodology while Data Virtualization is a concept. We picked Data Migration based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Data Migration wins

Based on overall popularity. Data Migration is more widely used, but Data Virtualization excels in its own space.