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  5. CouchDB vs Kinto

CouchDB vs Kinto

OverviewDecisionsComparisonAlternatives

Overview

CouchDB
CouchDB
Stacks529
Followers584
Votes139
GitHub Stars6.7K
Forks1.1K
Kinto
Kinto
Stacks5
Followers51
Votes0
GitHub Stars4.4K
Forks422

CouchDB vs Kinto: What are the differences?

# Key Differences between CouchDB and Kinto

CouchDB and Kinto are both open-source NoSQL databases with differences in their features and use cases. Below are the key distinctions between CouchDB and Kinto:

1. **Data Model and Query Language**: CouchDB uses a document-oriented data model and queries documents using MapReduce functions, while Kinto employs a collection-oriented model where data is stored in collections and allows filtering and sorting through HTTP APIs.
  
2. **Replication and Syncing**: CouchDB has a built-in replication feature that allows data synchronization between databases, enabling high availability and fault tolerance. In contrast, Kinto focuses on providing a synchronization framework for client applications to sync data between local storage and the server.

3. **Customization and Extensibility**: CouchDB allows users to define custom validation functions using JavaScript to enforce data constraints, whereas Kinto supports custom validation and permission rules through JSON Schema and Python plugins, offering more flexibility in data validation.

4. **Conflict Resolution Mechanism**: In CouchDB, conflict resolution is based on versioning and a revision tree structure, resolving conflicts by merging conflicting revisions. On the other hand, Kinto handles conflicts by allowing users to implement custom conflict resolution strategies using server-side plugins.

5. **Scalability and Performance**: CouchDB provides horizontal scalability through sharding and partitioning of data, allowing for better performance and handling of large datasets. In comparison, Kinto is designed for smaller-scale applications that prioritize data integrity and consistency over scalability.

6. **Community and Ecosystem**: CouchDB has a larger community and ecosystem, with extensive documentation, community support, and third-party integrations, making it suitable for enterprise-level applications with diverse requirements. Kinto, being a newer project, has a smaller but growing community focused on simplicity, ease of use, and developer-friendly features.

In Summary, CouchDB and Kinto differ in their data models, replication mechanisms, customization options, conflict resolution strategies, scalability approaches, and community support, catering to distinct use cases and preferences in the NoSQL database landscape.

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Advice on CouchDB, Kinto

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
Kinto
Kinto

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.

Kinto is a lightweight JSON storage service with synchronisation and sharing abilities.

Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync
Syncs user data between devices; Real time data streaming
Statistics
GitHub Stars
6.7K
GitHub Stars
4.4K
GitHub Forks
1.1K
GitHub Forks
422
Stacks
529
Stacks
5
Followers
584
Followers
51
Votes
139
Votes
0
Pros & Cons
Pros
  • 43
    JSON
  • 30
    Open source
  • 18
    Highly available
  • 12
    Partition tolerant
  • 11
    Eventual consistency
No community feedback yet

What are some alternatives to CouchDB, Kinto?

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.

Firebase

Firebase

Firebase is a cloud service designed to power real-time, collaborative applications. Simply add the Firebase library to your application to gain access to a shared data structure; any changes you make to that data are automatically synchronized with the Firebase cloud and with other clients within milliseconds.

Socket.IO

Socket.IO

It enables real-time bidirectional event-based communication. It works on every platform, browser or device, focusing equally on reliability and speed.

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.

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