Velvet or EZQL? A Comprehensive Review

Transforms team into data engineers

Enables data query from disparate sources

Offers real-time feature shipping

Allows complex SQL writing

Facilitates large data parsing

Turns queries into visual data

Data stored as query API endpoints

Supports real-time data for product development

Permits ingestion of any data source

Allows access to queries as API endpoints

User-friendly database interface

No SQL writing required

In-line data editing

Blocks of SQL queries

Shareable queries

Compatible with popular databases

GPT-3 generated charts

Customizable chart types

Embeddable charts soon

Backed by Y Combinator

Limited to high-growth startups

No explicit support for non-SQL languages

Real-time data might affect performance

Possible user overwhelm with unlimited data

Could favor tech-savvy users

No offline mode mentioned

Lack of data backup mechanisms

No explicit data security measures

Mac only

No Oracle DB support

Embeddable charts not available

Templates not yet implemented

Limited chart customization

No web-based app

No mobile version

No Linux support

Potential privacy concerns

No offline mode