Knex.js vs MariaDB

Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

Knex.js

Stacks181

Followers406

Votes49

Knex.js vs MariaDB: What are the differences?

Query Language Differences: Knex.js is a query builder that provides a higher-level API for generating SQL queries, while MariaDB is a relational database management system that supports SQL as its query language.
ORM vs. Database Management System: Knex.js is an ORM tool, meaning it focuses on mapping objects from the application to tables in a database, whereas MariaDB is a full-fledged database management system that offers features like data storage, retrieval, and management.
Data Handling: Knex.js allows for easier manipulation and querying of data through its fluent API, making it more developer-friendly in terms of handling data. In contrast, MariaDB provides robust data storage and retrieval capabilities, suitable for handling large-scale data operations efficiently.
Cross-Platform Support: Knex.js is a JavaScript query builder that can be used across different platforms and environments that support JavaScript, enabling developers to build applications with more flexibility. MariaDB, on the other hand, is a standalone database management system that needs to be installed on specific operating systems or servers.
Scalability and Performance: Knex.js may have limitations in handling extremely large datasets and high transaction volumes due to its nature as a query builder, while MariaDB is designed for scalability and high performance, making it a preferred choice for enterprise-level applications with extensive data processing needs.
Community and Ecosystem: Knex.js has a strong developer community that actively contributes plugins, extensions, and support for various databases, but it may not have the same level of industry support and adoption as MariaDB, which is backed by a well-established company and used by many large organizations worldwide.

In Summary, Knex.js and MariaDB differ in terms of query language handling, data manipulation approach, data storage capabilities, platform support, scalability, performance, and community/ecosystem involvement.

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Advice on MariaDB, Knex.js

Maxim

student at USI

Aug 25, 2020

Needs adviceon

Node.js

Mongoose

PostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k

Comments

Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k

Comments

Detailed Comparison

MariaDB	Knex.js
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.	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.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle
Statistics
GitHub Stars 6.6K	GitHub Stars -
GitHub Forks 1.9K	GitHub Forks -
Stacks 16.5K	Stacks 181
Followers 12.8K	Followers 406
Votes 468	Votes 49
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	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 MariaDB, 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.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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.

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 MariaDB: What are the differences?

Query Language Differences: Knex.js is a query builder that provides a higher-level API for generating SQL queries, while MariaDB is a relational database management system that supports SQL as its query language.
ORM vs. Database Management System: Knex.js is an ORM tool, meaning it focuses on mapping objects from the application to tables in a database, whereas MariaDB is a full-fledged database management system that offers features like data storage, retrieval, and management.
Data Handling: Knex.js allows for easier manipulation and querying of data through its fluent API, making it more developer-friendly in terms of handling data. In contrast, MariaDB provides robust data storage and retrieval capabilities, suitable for handling large-scale data operations efficiently.
Cross-Platform Support: Knex.js is a JavaScript query builder that can be used across different platforms and environments that support JavaScript, enabling developers to build applications with more flexibility. MariaDB, on the other hand, is a standalone database management system that needs to be installed on specific operating systems or servers.
Scalability and Performance: Knex.js may have limitations in handling extremely large datasets and high transaction volumes due to its nature as a query builder, while MariaDB is designed for scalability and high performance, making it a preferred choice for enterprise-level applications with extensive data processing needs.
Community and Ecosystem: Knex.js has a strong developer community that actively contributes plugins, extensions, and support for various databases, but it may not have the same level of industry support and adoption as MariaDB, which is backed by a well-established company and used by many large organizations worldwide.

Knex.js vs MariaDB

Overview