Overview

Prisma

Stacks1.3K

Followers974

Votes55

GitHub Stars44.2K

Forks1.9K

JSONata

Stacks15

Followers10

Votes0

GitHub Stars2.4K

Forks253

JSONata vs Prisma: What are the differences?

Introduction

In this article, we will explore and compare the key differences between JSONata and Prisma, focusing on their unique features and functionalities.

Type of Language: JSONata is a lightweight query and transformation language designed for working with JSON data, whereas Prisma is an open-source database toolkit and migration tool that helps developers build and work with databases.
Query Structure and Syntax: JSONata provides a simple and concise syntax for querying and manipulating JSON data, with powerful features like filtering, mapping, and transforming. On the other hand, Prisma uses the Structured Query Language (SQL) syntax for querying and manipulating data in relational databases.
Data Modeling and Database Compatibility: JSONata is primarily designed for working with JSON data, both as input and output, making it suitable for NoSQL databases and JSON-based APIs. In contrast, Prisma supports relational databases like PostgreSQL, MySQL, and SQLite, enabling developers to model their data using tables, rows, and relationships.
Scalability and Performance: JSONata is optimized for working with small to medium-sized JSON datasets, providing fast and efficient querying and transformation capabilities. Prisma, on the other hand, is built for handling larger and more complex datasets, leveraging the power and scalability of relational databases.
Integration and Ecosystem: JSONata can be easily integrated into various programming languages and frameworks as a standalone library, with support for multiple platforms. Prisma, on the other hand, offers a complete database toolkit with an ORM (Object-Relational Mapping) layer, making it easier to interact with databases and handle common tasks like data validation and migration.
Community and Support: JSONata has a smaller community and fewer resources compared to Prisma. However, it offers excellent documentation and support for developers. Prisma, being widely used and popular, has a larger community, extensive documentation, and strong community support.

In summary, JSONata and Prisma differ in terms of their language type, query structure, data modeling, scalability, integration, and community support. JSONata is suited for working with JSON data and NoSQL databases, while Prisma focuses on relational databases and provides a complete toolkit for database management.

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Detailed Comparison

Prisma	JSONata
Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.	It is a declarative open-source query and transformation language for JSON data.
Auto-generated and type-safe query builder for Node.js & TypeScript; Declarative data modeling & migration system; GUI to view and edit data in your database; Single source of truth for database and application models; Auto-completion in code editors instead of needing to look up documentation; Less boilerplate so developers can focus on the important parts of their app; Queries not classes to avoid complex model objects;	Lightweight query and transformation language for JSON data; Inspired by the location path semantics of XPath 3.1; Sophisticated query expressions with minimal syntax; Built in operators and functions for manipulating and combining data; Create user-defined functions; Format query results into any JSON output structure
Statistics
GitHub Stars 44.2K	GitHub Stars 2.4K
GitHub Forks 1.9K	GitHub Forks 253
Stacks 1.3K	Stacks 15
Followers 974	Followers 10
Votes 55	Votes 0
Pros & Cons
Pros 12 Type-safe database access 10 Open Source 8 Auto-generated query builder 6 Supports multible database systems 6 Increases confidence during development Cons 2 Doesn't support downward/back migrations 1 Mutation of JSON is really confusing 1 Do not support JSONB 1 Doesn't support JSONB 1 Do not support JSONB	No community feedback yet
Integrations
TypeScript Node.js Microsoft SQL Server PostgreSQL Serverless Apollo SQLite MongoDB GraphQL MariaDB	JSON

What are some alternatives to Prisma, JSONata?

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

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.

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

OData

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

Hibernate

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Doctrine 2

Doctrine 2 sits on top of a powerful database abstraction layer (DBAL). One of its key features is the option to write database queries in a proprietary object oriented SQL dialect called Doctrine Query Language (DQL), inspired by Hibernates HQL.

MikroORM

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, PostgreSQL and SQLite databases.

Entity Framework

It is an object-relational mapper that enables .NET developers to work with relational data using domain-specific objects. It eliminates the need for most of the data-access code that developers usually need to write.

peewee

A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.

MyBatis

It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.