Codegeex or Findly? A Comprehensive Review

Multilingual coding assistant

Automatic code generation

Large-scale generation model

Pretrained on 20+ languages

Cross-lingual code translation

Code explanation feature

Functional-level code completion

Supports 10+ programming languages

Open source

User modifications allowed

Easy-to-use chatbot

Generates actionable data insights

No SQL or Python knowledge required

Uses natural language processing

Reduces Time To Insight (TTI)

Eliminates reliance on data professionals

Simplifies onboarding process

Saves software engineering time

Allows questions on Slack

Compatible with all SQL databases

Limited programming languages support

No mobile support

No offline mode

Lacks variable-level code completion

No debugging features

No version control features

Complexity in customization

Private enterprise deployment expensive

No built-in IDE

Limited online demos

Lacks APIs integration

Limited to SQL databases

Only works on Slack

No Python interpretation support

Possibly long chatbot response times

User-specific data interpretation issues

Lacks multi-platform support

No direct databank integration

Dependent on English proficiency

Limited onboarding efficiency improvements