Gitlab code suggestions or Findly? A Comprehensive Review

Accelerates coding productivity

Generative completion of code lines

Quickly starts functions

Fills in boilerplate code

Generates tests

Proprietary source code privacy

Source code protection

Data privacy prioritized

Utilizes open-source pre-trained models

Fine-tuned with customized dataset

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 language support

No self-managed instance support

Limited IDE integration

Potential delay in suggestions

Does not retain code inference

Future enhancements not immediate

Productivity heavily dependant on suggestions

Suggestions not customizable

Lacks detailed suggestion control

No offline functionality

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