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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. Knex.js vs Spring Data

Knex.js vs Spring Data

OverviewComparisonAlternatives

Overview

Knex.js
Knex.js
Stacks181
Followers406
Votes49
Spring Data
Spring Data
Stacks883
Followers408
Votes0
GitHub Stars95
Forks84

Knex.js vs Spring Data: What are the differences?

# Key Differences between Knex.js and Spring Data 

Knex.js and Spring Data are two different technologies used for database access in web development. Here are some key differences between them:

1. **Framework Type**: Knex.js is a query builder that helps in building SQL queries with JavaScript, while Spring Data is a high-level data access framework that reduces the boilerplate code required for interacting with databases.

2. **Language Support**: Knex.js is specifically designed for JavaScript and Node.js applications, whereas Spring Data is a Java-based framework and is used with Spring applications.

3. **Database Support**: Knex.js supports multiple SQL databases such as MySQL, PostgreSQL, SQLite, etc., while Spring Data has support for both SQL and NoSQL databases like MongoDB, Redis, Cassandra, etc.

4. **Query Building**: Knex.js provides a fluent API for building complex SQL queries in a readable manner, whereas Spring Data uses repositories and query methods that rely on method names to generate queries, reducing the need to write SQL queries manually.

5. **Integration**: Knex.js can be easily integrated with various Node.js frameworks like Express.js, whereas Spring Data is tightly integrated with the Spring ecosystem, offering seamless integration with other Spring technologies like Spring Boot and Spring MVC.

6. **ORM vs. Query Builder**: Spring Data provides Object-Relational Mapping (ORM) capabilities, allowing developers to work with entities and objects, while Knex.js focuses on providing a flexible and efficient way to build and execute SQL queries directly.

In Summary, Knex.js is a JavaScript-based SQL query builder designed for Node.js applications, while Spring Data is a Java-based data access framework that offers support for both SQL and NoSQL databases with ORM capabilities.

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Detailed Comparison

Knex.js
Knex.js
Spring Data
Spring Data

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.

It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.

SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle
Powerful repository; Custom object-mapping abstractions; Dynamic query derivation
Statistics
GitHub Stars
-
GitHub Stars
95
GitHub Forks
-
GitHub Forks
84
Stacks
181
Stacks
883
Followers
406
Followers
408
Votes
49
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
Oracle
Oracle
MySQL
MySQL
SQLite
SQLite
MongoDB
MongoDB
Spring MVC
Spring MVC
Redis
Redis
ArangoDB
ArangoDB

What are some alternatives to Knex.js, Spring Data?

dbForge Studio for MySQL

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.

dbForge Studio for Oracle

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

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.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

PostGIS

PostGIS

PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.

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