Challenges with using Legacy
Tools with Modern Databases
Modern databases span numerous NoSQL databases, graph databases, and JSON aware “New SQL” ones. Attempting to use popular legacy tools built for SQL queries and tabular data results in a process that is:
Costly & Glitchy
Inflexible
Time Consuming
The richer your data structures, the more complex, error prone and costly it becomes to attempt SQL to access virtualized relational tables. The JSON capabilities of New SQL databases are completely lost as the data remains as simple text. Popular legacy SQL tools focus on summary visualization. This forces dev teams to manually code ongoing detailed analysis requests.