13 reasons SQL has got to go
8 hours ago
- #SQL
- #NoSQL
- #Database
- SQL is widely used despite its clunkiness and verbosity.
- SQL's tabular model dominates, even influencing NoSQL databases.
- SQL struggles with scalability, especially with large datasets.
- SQL doesn't natively support modern data formats like JSON or XML.
- Marshalling data between SQL and objects is time-consuming.
- SQL isn't designed for real-time data processing.
- JOIN operations are computationally expensive and complex.
- Columns in SQL can be inefficient and inflexible.
- Optimization in SQL has limitations, especially with complex queries.
- Denormalization sacrifices SQL's relational strengths for performance.
- Bolted-on SQL features can complicate and slow down databases.
- SQL syntax is inconsistent and vulnerable to injection attacks.
- SQL isn't ideal for non-tabular data like graphs or spatial data.
- SQL implementations vary widely, lacking true standardization.
- Alternatives like GraphQL and NoSQL offer more flexibility and readability.