CouchDB vs Knex.js

Overview

CouchDB

Stacks529

Followers584

Votes139

GitHub Stars6.7K

Forks1.1K

Knex.js

Stacks181

Followers406

Votes49

CouchDB vs Knex.js: What are the differences?

Data Model: CouchDB is a document-oriented NoSQL database, where data is stored in JSON format. In contrast, Knex.js is a SQL query builder for Node.js, allowing users to write SQL queries directly.
Query Language: CouchDB uses MapReduce for querying data, enabling parallel processing and scalability. Knex.js, on the other hand, allows users to write raw SQL queries or use JavaScript functions to interact with the database.
Data Replication: CouchDB supports master-master replication, allowing synchronization of data between multiple databases. Knex.js does not have built-in support for replication but can be integrated with other tools for data replication.
Schema Flexibility: CouchDB is schema-less, meaning documents in a collection can have varying structures. Knex.js requires users to define and adhere to a specific schema for tables and columns when working with relational databases.
Error Handling: In CouchDB, conflicts in data updates are resolved using a revision-based system, ensuring data consistency. Knex.js relies on traditional error handling mechanisms like try-catch blocks for managing data integrity and consistency.
Community Support: CouchDB has a strong community of users and contributors providing extensive documentation and support resources. Knex.js also has an active community but might not be as comprehensive as CouchDB's resources.

In Summary, the key differences between CouchDB and Knex.js lie in their data models, query languages, replication capabilities, schema flexibility, error handling mechanisms, and community support.

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Advice on CouchDB, Knex.js

Gabriel

CEO at Naologic

Jan 2, 2020

Decidedon

CouchDB

Couchbase

Memcached

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	Knex.js
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.	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.
Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync	SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle
Statistics
GitHub Stars 6.7K	GitHub Stars -
GitHub Forks 1.1K	GitHub Forks -
Stacks 529	Stacks 181
Followers 584	Followers 406
Votes 139	Votes 49
Pros & Cons
Pros 43 JSON 30 Open source 18 Highly available 12 Partition tolerant 11 Eventual consistency	Pros 11 Write once and then connect to almost any sql engine 10 Faster 8 Nice api, Migrations/Seeds 7 Free 7 Flexibility in what engine you choose
Integrations
No integrations available	PostgreSQL Oracle MySQL SQLite

What are some alternatives to CouchDB, Knex.js?

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

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 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.

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

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 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

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 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

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.

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

Related Comparisons

CouchDB vs Knex.js: What are the differences?

Data Model: CouchDB is a document-oriented NoSQL database, where data is stored in JSON format. In contrast, Knex.js is a SQL query builder for Node.js, allowing users to write SQL queries directly.
Query Language: CouchDB uses MapReduce for querying data, enabling parallel processing and scalability. Knex.js, on the other hand, allows users to write raw SQL queries or use JavaScript functions to interact with the database.
Data Replication: CouchDB supports master-master replication, allowing synchronization of data between multiple databases. Knex.js does not have built-in support for replication but can be integrated with other tools for data replication.
Schema Flexibility: CouchDB is schema-less, meaning documents in a collection can have varying structures. Knex.js requires users to define and adhere to a specific schema for tables and columns when working with relational databases.
Error Handling: In CouchDB, conflicts in data updates are resolved using a revision-based system, ensuring data consistency. Knex.js relies on traditional error handling mechanisms like try-catch blocks for managing data integrity and consistency.
Community Support: CouchDB has a strong community of users and contributors providing extensive documentation and support resources. Knex.js also has an active community but might not be as comprehensive as CouchDB's resources.

In Summary, the key differences between CouchDB and Knex.js lie in their data models, query languages, replication capabilities, schema flexibility, error handling mechanisms, and community support.

CouchDB vs Knex.js

Overview