Twinny or Findly? A Comprehensive Review

Operates locally

Enhances code completion

Seamless integration with Ollama

Cost effective

Ensures user confidentiality

Real-time code suggestions

Supports multiple programming languages

Configurable endpoint and port

Chat feature

Visual comparison for code completions

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

Requires Visual Studio Code

Requires separate Ollama installation

No standalone functionality

Lacks extensive user reviews

Limited tools compared to Copilot

Usage requires constant Internet connection

Dependent on Ollama API updates

Frequent updates may disrupt workflow

No advanced setting or customization

No support for all languages

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