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Knex.js

179
401
+ 1
49
PostgREST

59
116
+ 1
8
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Knex.js vs PostgREST: What are the differences?

Introduction:

When considering database management and API development for a web application, Knex.js and PostgREST are two popular tools that provide different functionalities. Understanding the key differences between Knex.js and PostgREST is crucial for choosing the right tool for your project.

1. ORM vs Full-fledged REST API: Knex.js is an ORM (Object-Relational Mapping) library that allows developers to interact with relational databases using JavaScript. On the other hand, PostgREST is a full-fledged REST API that automatically generates a RESTful API from a PostgreSQL database schema, providing a powerful and easy-to-use interface for database operations.

2. Query Building vs API Endpoint Generation: Knex.js primarily focuses on query building, allowing developers to construct database queries using JavaScript methods, while PostgREST automatically generates API endpoints based on the database schema, eliminating the need for manual API endpoint creation.

3. Flexibility vs Automation: Knex.js provides developers with greater flexibility in constructing complex database queries and customizing query logic, whereas PostgREST automates the process of API endpoint generation and simplifies the creation of RESTful interfaces for databases.

4. Code Dependency vs Standalone Service: Knex.js requires the integration of the library within the application codebase, increasing the code dependency, while PostgREST operates as a standalone service that connects to the PostgreSQL database separately, reducing the code coupling.

5. Development Time vs Performance: Using Knex.js may require more development time due to manual query construction and customization, whereas PostgREST can significantly reduce development time by automatically generating API endpoints, but it may impact performance for highly complex queries.

6. Control Over API Logic vs Schema-driven APIs: With Knex.js, developers have full control over the API logic and query execution process, allowing for custom error handling and advanced query optimization, whereas PostgREST relies on the database schema to define API routes and operations, limiting control over the API logic in exchange for simplicity.

In Summary, understanding the key differences between Knex.js and PostgREST is essential for selecting the appropriate tool based on the project requirements, with Knex.js offering more flexibility in query building and custom logic, while PostgREST simplifies API development through automated endpoint generation and schema-driven interfaces.

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Pros of Knex.js
Pros of PostgREST
  • 11
    Write once and then connect to almost any sql engine
  • 10
    Faster
  • 8
    Nice api, Migrations/Seeds
  • 7
    Flexibility in what engine you choose
  • 7
    Free
  • 5
    Multi support and easy to use
  • 1
    Simple query API
  • 4
    Fast, simple, powerful REST APIs from vanilla Postgres
  • 2
    JWT authentication
  • 1
    Very fast
  • 1
    Declarative role based security at the data layer

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What is Knex.js?

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.

What is PostgREST?

PostgREST serves a fully RESTful API from any existing PostgreSQL database. It provides a cleaner, more standards-compliant, faster API than you are likely to write from scratch.

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What companies use Knex.js?
What companies use PostgREST?
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What tools integrate with Knex.js?
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What are some alternatives to Knex.js and PostgREST?
Sequelize
Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
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.
Dataform
Dataform helps you manage all data processes in your cloud data warehouse. Publish tables, write data tests and automate complex SQL workflows in a few minutes, so you can spend more time on analytics and less time managing infrastructure.
DB
With DB you can very easily save, restore, and archive snapshots of your database from the command line. It supports connecting to different database servers (for example a local development server and a staging or production server) and allows you to load a database dump from one environment into another environment.
See all alternatives