Code Llama or SQL Ease? A Comprehensive Review

Generates code

Understands code

Code completion capability

Supports debugging tasks

Supports Python

C++

Java

PHP

Typescript

C#

Generates SQL from natural language

User-friendly interface

Customizable queries

Saves user's time

No SQL experience necessary

Ideal for large databases

Streamlines query generation

Click-to-access SQL code

Efficient query creation

For users at all levels

Higher latency with 34B model

Not suitable for natural language tasks

Doesn't generate safe responses on certain occasions

Requires user adherence to licensing and acceptable policy

May generate risky or malicious code

Specialized models required for specific languages

Does not perform general natural language tasks

Requires a large volume of tokens

Lacks adaptability for non-coding tasks

Service and latency requirements vary between models

Limited to SQL queries

Not suitable for advanced SQL

Customization might be confusing

Difficult for complex queries

Lack of support options

No multi-language support

Limited interface customization

No offline functionality

Can't handle large scale databases

No query optimization feature