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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Graphql As A Service
  5. AWS AppSync vs Prisma

AWS AppSync vs Prisma

OverviewComparisonAlternatives

Overview

AWS AppSync
AWS AppSync
Stacks197
Followers257
Votes30
Prisma
Prisma
Stacks1.3K
Followers974
Votes55
GitHub Stars44.2K
Forks1.9K

AWS AppSync vs Prisma: What are the differences?

  1. Key Difference 1: Live data updates AWS AppSync allows real-time data updates through GraphQL subscriptions. It enables clients to get immediate updates whenever there is a change in the backend data. On the other hand, Prisma does not have built-in support for real-time data updates. To implement real-time updates with Prisma, additional tools or libraries like WebSocket or real-time messaging systems need to be integrated.

  2. Key Difference 2: Managed infrastructure AWS AppSync is a fully managed service provided by Amazon Web Services, which means that the infrastructure for running the service is handled by AWS. Users do not have to worry about scaling, patching, or managing the underlying database. Prisma, on the other hand, is an open-source tool that needs to be deployed and managed by the users themselves. Users are responsible for maintaining the infrastructure and ensuring high availability.

  3. Key Difference 3: Integrated authorization and authentication AWS AppSync provides built-in authentication and authorization capabilities. It supports different authentication mechanisms like API keys, Amazon Cognito, and OpenID Connect. Users can easily define fine-grained access control to their APIs and data. Prisma, on the other hand, does not provide built-in authentication and authorization mechanisms. Users need to implement their own authentication and authorization layers using third-party libraries or frameworks.

  4. Key Difference 4: Data caching AWS AppSync provides built-in caching mechanisms to improve performance and reduce the load on the backend systems. It supports configurable caching at different levels, including field-level caching and response-level caching. Prisma, on the other hand, does not have built-in caching mechanisms. Users need to implement caching strategies themselves using tools like Redis or Memcached.

  5. Key Difference 5: Database support AWS AppSync supports multiple databases, including DynamoDB, Aurora Serverless, and Amazon Elasticsearch. Users have the flexibility to choose the database that best fits their needs. Prisma, on the other hand, is agnostic to the database and can work with various SQL and NoSQL databases. It generates database schemas and provides a query builder to interact with the database.

  6. Key Difference 6: Language support AWS AppSync supports multiple programming languages, including JavaScript, TypeScript, Java, Swift, and Python. Users can choose the language they are comfortable with to develop their GraphQL APIs. Prisma, on the other hand, is primarily focused on TypeScript and supports Node.js as the runtime environment. It provides strong type support and code generation specific to TypeScript.

In Summary, AWS AppSync is a fully managed service with real-time data updates, built-in authentication and authorization, caching mechanisms, support for multiple databases, and language flexibility. Prisma, on the other hand, requires manual deployment and management, lacks built-in authentication and caching, and supports various databases with a focus on TypeScript development.

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Detailed Comparison

AWS AppSync
AWS AppSync
Prisma
Prisma

AWS AppSync automatically updates the data in web and mobile applications in real time, and updates data for offline users as soon as they reconnect. AppSync makes it easy to build collaborative mobile and web applications that deliver responsive, collaborative user experiences.

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.

Uses GraphQL; Real-time data access and updates; Offline data synchronization; Data querying, filtering, and search in apps; Enterprise security and fine-grained access control
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;
Statistics
GitHub Stars
-
GitHub Stars
44.2K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
197
Stacks
1.3K
Followers
257
Followers
974
Votes
30
Votes
55
Pros & Cons
Pros
  • 9
    GraphQL
  • 6
    Real-Time
  • 3
    Offline
  • 3
    Apollo
  • 2
    BaaS
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
    Do not support JSONB
  • 1
    Mutation of JSON is really confusing
  • 1
    Do not support JSONB
  • 1
    Doesn't support JSONB
Integrations
Android SDK
Android SDK
Cocoa Touch (iOS)
Cocoa Touch (iOS)
GraphQL
GraphQL
Amazon Cognito
Amazon Cognito
React Native
React Native
Amazon DynamoDB
Amazon DynamoDB
Ionic
Ionic
AWS Lambda
AWS Lambda
JavaScript
JavaScript
Amazon Elasticsearch Service
Amazon Elasticsearch Service
TypeScript
TypeScript
Node.js
Node.js
Microsoft SQL Server
Microsoft SQL Server
PostgreSQL
PostgreSQL
Serverless
Serverless
Apollo
Apollo
SQLite
SQLite
MongoDB
MongoDB
GraphQL
GraphQL
MariaDB
MariaDB

What are some alternatives to AWS AppSync, Prisma?

GraphQL

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.

Prisma Cloud

Prisma Cloud

One tool for your entire team to work with Prisma. Manage deployments and securely access data in the databrowser.

Sequelize

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

PostGraphile

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

OData

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

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

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

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

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

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.

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