Challenges with using Legacy
Tools with Modern Databases
Modern databases span numerous NoSQL, graph, vector and JSON aware “New SQL” databases. Attempting to use popular legacy tools built for SQL queries and tabular data results in a process that is:
Costly & Glitchy
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. Legacy SQL tools focus on summary visualization. This forces dev teams to manually code ongoing detailed analysis requests.
The Qarbine Solution
Qarbine complements summary visualization tools such as Tableau, PowerBI, graph data notebooks, Neo4j’s Bloom, and MongoDB Charts. Qarbine is focused on the detailed analysis, formatting, and presentation of the details behind those pretty pictures. Qarbine’s many extension points even includes the embedding of graph data diagrams and MongoDB Charts for a much more informaed decisions.