Code Llama or Text2SQL? A Comprehensive Review

Generates code

Understands code

Code completion capability

Supports debugging tasks

Supports Python

C++

Java

PHP

Typescript

C#

Supports multiple SQL dialects

Can connect custom database schema

Free to use

Ideal for beginners and professionals

Generates SQL queries quickly

Cost-effective compared to similar tools

Allows SQL explanation to plain English

Supports a broad range of queries

Supports CREATE and ALTER TABLE requests

Supports constraints

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 GPT-3 Codex

No API provided

Questionable accuracy

Not ideal for advanced usage

Dependent on BETA phase

Lacks performance optimization

May require manual checking

No real-time support

Doesn't support all SQL features