Knex.js vs Microsoft SQL Server

Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Knex.js

Stacks181

Followers406

Votes49

Knex.js vs Microsoft SQL Server: What are the differences?

Query Building and ORM: One key difference between Knex.js and Microsoft SQL Server is that Knex.js is a query builder and ORM for Node.js, providing a way to interact with different databases using JavaScript, while Microsoft SQL Server is a relational database management system specifically designed by Microsoft for storing and retrieving data.
Cross-Platform Compatibility: Knex.js is cross-platform compatible, meaning it can be used with different types of databases such as MySQL, PostgreSQL, SQLite, etc., whereas Microsoft SQL Server is a proprietary database management system developed by Microsoft and mainly geared towards Windows operating systems.
Open Source vs Proprietary: Knex.js is an open-source library available under the MIT license, offering flexibility for developers to customize and contribute to the codebase, while Microsoft SQL Server is a proprietary software that requires licensing and does not provide access to its underlying code.
Performance and Scalability: Knex.js may not provide the same level of performance and scalability as Microsoft SQL Server, which has been optimized by Microsoft for large-scale enterprise applications with features like data partitioning, replication, and advanced indexing options.
Learning Curve and Documentation: Knex.js might have a steeper learning curve due to its lower-level interaction with databases compared to the graphical interfaces and user-friendly tools provided by Microsoft SQL Server, but it offers comprehensive documentation and a large community for support and resources.
Deployment and Maintenance: Deploying and maintaining Knex.js can be more straightforward and cost-effective for small to medium projects since it can run on various platforms without requiring specific hardware or licensing fees, unlike Microsoft SQL Server which may require dedicated servers and licensing agreements.

In Summary, Knex.js and Microsoft SQL Server differ in terms of query building capabilities, platform compatibility, licensing models, performance, learning curve, and deployment options.

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Advice on Microsoft SQL Server, Knex.js

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.

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Detailed Comparison

Microsoft SQL Server	Knex.js
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.
-	SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle
Statistics
Stacks 21.3K	Stacks 181
Followers 15.5K	Followers 406
Votes 540	Votes 49
Pros & Cons
Pros 139 Reliable and easy to use 101 High performance 95 Great with .net 65 Works well with .net 56 Easy to maintain Cons 4 Expensive Licensing 2 Microsoft 1 Replication can loose the data 1 Allwayon can loose data in asycronious mode 1 Data pages is only 8k	Pros 11 Write once and then connect to almost any sql engine 10 Faster 8 Nice api, Migrations/Seeds 7 Free 7 Flexibility in what engine you choose
Integrations
No integrations available	PostgreSQL Oracle MySQL SQLite

What are some alternatives to Microsoft SQL Server, Knex.js?

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

Related Comparisons

Knex.js vs Microsoft SQL Server: What are the differences?

Query Building and ORM: One key difference between Knex.js and Microsoft SQL Server is that Knex.js is a query builder and ORM for Node.js, providing a way to interact with different databases using JavaScript, while Microsoft SQL Server is a relational database management system specifically designed by Microsoft for storing and retrieving data.
Cross-Platform Compatibility: Knex.js is cross-platform compatible, meaning it can be used with different types of databases such as MySQL, PostgreSQL, SQLite, etc., whereas Microsoft SQL Server is a proprietary database management system developed by Microsoft and mainly geared towards Windows operating systems.
Open Source vs Proprietary: Knex.js is an open-source library available under the MIT license, offering flexibility for developers to customize and contribute to the codebase, while Microsoft SQL Server is a proprietary software that requires licensing and does not provide access to its underlying code.
Performance and Scalability: Knex.js may not provide the same level of performance and scalability as Microsoft SQL Server, which has been optimized by Microsoft for large-scale enterprise applications with features like data partitioning, replication, and advanced indexing options.
Learning Curve and Documentation: Knex.js might have a steeper learning curve due to its lower-level interaction with databases compared to the graphical interfaces and user-friendly tools provided by Microsoft SQL Server, but it offers comprehensive documentation and a large community for support and resources.
Deployment and Maintenance: Deploying and maintaining Knex.js can be more straightforward and cost-effective for small to medium projects since it can run on various platforms without requiring specific hardware or licensing fees, unlike Microsoft SQL Server which may require dedicated servers and licensing agreements.

In Summary, Knex.js and Microsoft SQL Server differ in terms of query building capabilities, platform compatibility, licensing models, performance, learning curve, and deployment options.

Knex.js vs Microsoft SQL Server

Overview