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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. AWS AppSync vs CouchDB

AWS AppSync vs CouchDB

OverviewDecisionsComparisonAlternatives

Overview

CouchDB
CouchDB
Stacks529
Followers584
Votes139
GitHub Stars6.7K
Forks1.1K
AWS AppSync
AWS AppSync
Stacks197
Followers257
Votes30

AWS AppSync vs CouchDB: What are the differences?

Introduction

AWS AppSync and CouchDB are two different technologies that can be used for various purposes. Here are the key differences between the two:

  1. Data Structure and Query Language: AWS AppSync uses GraphQL as its query language, which allows clients to specify the exact data requirements they need. This enables efficient data fetching and reduces over-fetching or under-fetching of data. On the other hand, CouchDB uses a flexible JSON-based document model for storing and retrieving data, making it easy to work with unstructured or semi-structured data.

  2. Data Replication and Sync: AWS AppSync provides built-in real-time data synchronization capabilities, allowing clients to receive live updates from the backend without the need for manual polling. CouchDB, on the other hand, has a built-in peer-to-peer replication feature that allows multiple database instances to synchronize and stay consistent with each other.

  3. Deployment and Scalability: With AWS AppSync, you can leverage the scalability and availability of the AWS cloud platform. It handles all the underlying infrastructure for you, allowing you to focus on the application logic. CouchDB, on the other hand, can be deployed on any server or cloud platform, giving you more flexibility in terms of deployment options.

  4. Authentication and Authorization: AWS AppSync has built-in support for integrating with AWS Cognito, which provides user authentication and authorization capabilities. This makes it easier to secure your applications and manage user access. CouchDB also has built-in authentication and authorization mechanisms, but it may require additional configuration and customization to integrate with external identity providers.

  5. Serverless Architecture: AWS AppSync can be used in a serverless architecture, where you only pay for the actual usage of the service and don't have to manage any servers. This makes it easy to scale and reduces operational overhead. CouchDB, on the other hand, requires you to set up and manage the database server yourself, which may involve more operational effort.

  6. Integration and Ecosystem: AWS AppSync is tightly integrated with other AWS services, such as AWS Lambda, DynamoDB, and others, allowing you to easily build serverless applications. It also has a rich ecosystem of third-party libraries and tools that can enhance its capabilities. CouchDB has its own ecosystem of plugins and integrations, but it may have fewer options compared to AWS AppSync's extensive ecosystem.

In Summary, AWS AppSync and CouchDB differ in terms of their data structure and query language, data replication and sync capabilities, deployment and scalability options, authentication and authorization mechanisms, support for a serverless architecture, and the richness of their integration and ecosystem.

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Advice on CouchDB, AWS AppSync

Gabriel
Gabriel

CEO at Naologic

Jan 2, 2020

DecidedonCouchDBCouchDBCouchbaseCouchbaseMemcachedMemcached

We implemented our first large scale EPR application from naologic.com using CouchDB .

Very fast, replication works great, doesn't consume much RAM, queries are blazing fast but we found a problem: the queries were very hard to write, it took a long time to figure out the API, we had to go and write our own @nodejs library to make it work properly.

It lost most of its support. Since then, we migrated to Couchbase and the learning curve was steep but all worth it. Memcached indexing out of the box, full text search works great.

592k views592k
Comments

Detailed Comparison

CouchDB
CouchDB
AWS AppSync
AWS AppSync

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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.

Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync
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
Statistics
GitHub Stars
6.7K
GitHub Stars
-
GitHub Forks
1.1K
GitHub Forks
-
Stacks
529
Stacks
197
Followers
584
Followers
257
Votes
139
Votes
30
Pros & Cons
Pros
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
Pros
  • 9
    GraphQL
  • 6
    Real-Time
  • 3
    Offline
  • 3
    Apollo
  • 2
    AWS
Integrations
No integrations available
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

What are some alternatives to CouchDB, AWS AppSync?

MongoDB

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

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

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.

Microsoft SQL Server

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

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

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

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.

MariaDB

MariaDB

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.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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