Quick New Page VS SQL query for CSV

Figma plugin to add new pages quickly

SQL query for CSV helps people analyze large sets of csv records in a short time using declarative SQL syntax.

Efficiency
Quick New Page streamlines the process of adding new pages in Figma, saving time for designers by reducing clicks and manual steps.
User-Friendly
The plugin offers a straightforward interface that makes it easily accessible for users of all experience levels, enhancing the overall workflow in Figma.
Customization
Allows users to customize new page templates, which can help maintain consistency in design projects and adapt to specific project needs.

Limited Functionality
While the plugin simplifies page creation, it may not offer advanced features that some users might expect, limiting its utility in complex design systems.
Dependency
Reliance on a third-party plugin means that users are dependent on continuous updates and support from the developer to ensure compatibility with newer versions of Figma.
Potential Bugs
As with any plugin, there is a potential risk of encountering bugs or glitches, which could disrupt the workflow or require additional troubleshooting.

Familiarity
SQL syntax is widely used and familiar to many developers, making it easier for them to query CSV data without learning a new query language.
Expressiveness
SQL is a powerful language with a rich set of features, allowing complex queries, joins, and aggregations on CSV data.
Ad-hoc Analysis
Users can perform quick and efficient ad-hoc data analysis directly on CSV files without needing to import the data into a database.
Accessibility
Online tools like try.csv-query.ca make it easy to query CSV files directly from the browser, increasing accessibility for users.

Performance Limitations
Handling large CSV files in memory might lead to performance issues, as CSV files are not optimized for querying compared to databases.
Limited Data Integrity
CSV files lack data types and constraints, which can lead to errors or unexpected results when querying data, compared to structured databases.
Lack of Security
CSV files can be easily modified or corrupted, and querying them directly may expose sensitive data if not properly managed.
Resource Intensive
Running complex queries on large CSV files can be resource-intensive and may not be suitable for environments with limited computational resources.