Quills.ai vs BlazeSQL Detailed comparison features, price

Quills.ai

Quills.ai is an innovative business intelligence platform that revolutionizes data analysis through conversational AI technology. The platform enables users to interact with their data using natural language, automatically generating SQL queries and providing interactive visualizations for comprehensive data exploration.

The solution supports multiple data sources including databases, CSVs, and Excel files, while offering seamless integration with Slack and custom website chatbots. Users can visualize data through dynamic charts, customize their experience, and export results in various formats, making it an all-in-one solution for modern data analysis needs.

BlazeSQL

BlazeSQL is an advanced AI-powered SQL solution that transforms the way organizations interact with their databases. By connecting an intelligent chatbot to database systems, it enables teams to generate complex SQL queries and extract valuable insights without requiring extensive SQL knowledge.

The platform features enterprise-grade security measures, ensuring that sensitive data remains protected by only accessing metadata such as table and column names. With support for major database systems including Snowflake, BigQuery, PostgreSQL, and others, BlazeSQL offers automated query generation, customizable dashboards, and proactive insights delivery while maintaining strict data privacy standards.

Quills.ai

Pricing

Contact for Pricing

BlazeSQL

Pricing

Free Trial

Quills.ai

Features

Natural Language Processing: Converts plain English queries into SQL
Multi-source Integration: Connects to databases, CSVs, and Excel files
Interactive Visualization: Generate dynamic charts and tables on-the-fly
SQL Query Generation: Automated SQL query creation from natural language input
Custom Chatbot Integration: Seamless deployment on Slack and websites
Data Export: Download results in Excel or CSV formats
UI Customization: Fully customizable chatbot interface
File Format Support: Handles Excel, CSV, PDF, DOCX, and DOC files

BlazeSQL

Features

AI Query Generation: Converts natural language questions into complex SQL queries
Secure Data Handling: Only processes metadata while keeping query results local
Custom Knowledge Base: Learns and remembers company-specific terminology and requirements
Interactive Dashboards: Drag-and-drop functionality for creating personalized data visualizations
Proactive Insights: Delivers tailored weekly updates based on job role and priorities
Multi-Database Support: Compatible with major SQL databases including Snowflake, BigQuery, and PostgreSQL

Quills.ai

Use cases

Real-time business monitoring
Custom data portal creation
Client self-service analytics
Team data collaboration
Automated reporting
Business intelligence analysis
Data-driven decision making
Enterprise data exploration

BlazeSQL

Use cases

Ad-hoc data analysis
Business intelligence reporting
Team productivity enhancement
Database query automation
Custom dashboard creation
Technical resource optimization
Data-driven decision making
Self-service analytics

Quills.ai

FAQs

What file formats does Quills.ai support?

Quills.ai supports multiple file formats including Excel, CSV, PDF, DOCX, and DOC files.

Can I customize the chatbot interface?

Yes, you can customize various aspects including logo, colors, messages, and overall appearance of the chatbot interface.

Do I need SQL knowledge to use Quills.ai?

No, you can interact with your data using plain English. The platform automatically converts natural language queries into SQL.

Can I integrate Quills.ai with other platforms?

Yes, Quills.ai offers integration with Slack and can be embedded into websites as a chatbot.

BlazeSQL

FAQs

Where does my data go?

Data rows in your database are never uploaded to servers. The AI only sees table and column names. With the desktop version, query results go directly from your database to your computer, staying 100% local and private.

What Data sources does BlazeSQL support?

BlazeSQL supports Snowflake, BigQuery, Microsoft SQL Server, PostgreSQL, MySQL, MariaDB, Oracle, Redshift, and SAP SQL Anywhere.

Is there a size limit for databases?

BlazeSQL enforces a limit of 300 tables per database to encourage selecting only relevant tables for analysis. You can add the database multiple times with different tables selected.

Is there a message limit?

No, every BlazeSQL Member gets unlimited access to the AI Data Analyst chatbot. Team subscriptions are required for multiple users.