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Text2SQL vs NLSQL

Text2SQL or NLSQL? A Comprehensive Review

	Text2SQL Converts English to SQL. Visit Website Visit Website	NLSQL Natural language business database solution. Visit Website Visit Website

Overview

Description	Introducing TEXT2SQL. AI - the ultimate solution to effortlessly translate English commands into accurate SQL queries. Powered by the highly-advanced OpenAI GPT-3 Codex model, this AI-based Read more +	Introducing NLSQL, an innovative B2B SaaS solution that revolutionizes the way businesses retrieve valuable insights from databases. With a user-friendly natural language interface, NLSQL Read more +
Pricing Options	No free trial Not Available	No free trial Not Available
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Features

Total Features	Features	Features
Unique Features	No features	No features
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Pricing

Pricing Option
Starting From	Not Available	Not Available
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Other Details

Customer Types	No customer type information available	No customer type information available
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User Reviews

User Ratings	No Reviews	No Reviews
Pros	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	Intuitive text interface No database language skills required Fast data extraction Integration with MySQL MS SQL Vertica Integration with Postgre SQL Oracle MariaDB Redis
Cons	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	Limited to SQL databases No personal data security Limited language processing capabilities No offline usage Limited integration options May struggle with complex data Targeted primarily at healthcare industry Limited user interface customization No indicated scalability No voice interface support

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Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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