Raw Query or Findly? A Comprehensive Review

In-built code editor

Built-in SQL optimizer

Advanced querying capabilities

Supports complex SQL codes

High speed query execution

Raw data manipulation

Data visualization features

Automated code generation

Real-time error detection

Syntax highlighting

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

No multi-database support

Limited query optimization

No query history

Inadequate error handling

Lacks advanced analytic capabilities

No visualization tools

Poor syntax highlighting

Cannot handle large datasets

No import/export functionality

Limited database object manipulation

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