Table of contents
CouchDB
HTTP + JSON document database with Map Reduce views and peer-based replication.
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Schema-Free Design
CouchDB is a NoSQL database with a schema-free design, which means it allows for flexible and dynamic data modeling. This is particularly useful for applications where requirements may change over time or where data is highly variable.
Replication
CouchDB provides robust replication capabilities that enable data to be synchronized across multiple servers. This is useful for scalability, high availability, and disaster recovery.
RESTful HTTP API
CouchDB uses a RESTful HTTP API for database operations, making it easy to interact with using standard web technologies. This simplifies development and integration with web applications.
Multi-Master Replication
CouchDB supports multi-master replication, allowing for concurrent writes on different nodes without conflict. This feature is valuable for distributed systems and offline-first applications.
Eventual Consistency
CouchDB ensures eventual consistency, which allows the database to be highly available and partition tolerant. This is beneficial for applications that need to remain operational even under network partitions.
MapReduce Queries
CouchDB supports MapReduce functions for creating views and indexes, enabling powerful data querying and aggregation. This makes it easier to perform complex data analysis within the database.
Built-in Administration Interface
CouchDB comes with a built-in web-based administration interface called Fauxton, making it easy to manage databases, documents, and replication.
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CouchDB is considered good for applications that require reliable, scalable, and easy-to-use database solutions, particularly those that benefit from replication and data synchronization features.
We have collected here some useful links to help you find out if CouchDB is good.
Check the traffic stats of CouchDB on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of CouchDB on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of CouchDB's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of CouchDB on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about CouchDB on Reddit. This can help you find out how popualr the product is and what people think about it.
CouchDB on the serer and PouchDB on the client was an attempt at making such an environment: - https://couchdb.apache.org/ - https://pouchdb.com/ Also some more pondering on local-first application development from a "few" (~10) years back can be found here: https://unhosted.org/. - Source: Hacker News / 15 days ago
The author would be excited to learn that CouchDB solves this problem since 20 years. The use case the article describes is exactly the idea behind CouchDB: a database that is at the same time the server, and that's made to be synced with the client. You can even put your frontend code into it and it will happily serve it (aka CouchApp). https://couchdb.apache.org. - Source: Hacker News / 4 months ago
That was my first thought! https://couchdb.apache.org/ is pretty good though is it still the incremental views with JS? - Source: Hacker News / 4 months ago
In this post, I'll show how to simulate a multi-master synchronization with Apache CouchDB considering an off-line scenario. To reach this goal, I'll use Docker and Docker compose. - Source: dev.to / 9 months ago
If you like the document db idea there are a lot of choices, especially https://arangodb.com/ which I think gets little attention because people who use it see it as a secret weapon. Too bad about the license though. Also https://couchdb.apache.org/ and https://developer.marklogic.com/. - Source: Hacker News / 11 months ago
CouchDB — Database that uses JSON to store data and JavaScript for MapReduce queries. - Source: dev.to / about 1 year ago
CouchDB is a NoSQL database that stores data in JSON and uses JavaScript as the query language. It prioritizes easy replication and availability for distributed databases. - Source: dev.to / about 1 year ago
Another interesting option is PouchDB[0], which is a Javascript implementation of the CouchDB[1] synchronization API. It allows you to acheive eventual consistency between a client with intermittent connectivity, and a backend database. [0] https://pouchdb.com/ [1] https://couchdb.apache.org/. - Source: Hacker News / about 1 year ago
CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline. Source: about 2 years ago
Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on Replication and reliability. One of the most significant differences Between CouchDB and a relational database (besides the absence of tables And schemas) is how you query data. Relational databases allow their Users to execute arbitrary and dynamic queries via SQL. Each SQL query may look Completely... - Source: dev.to / over 2 years ago
For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with. Source: almost 3 years ago
You can implement the sync algorithm from scratch, or you can use tools like CouchDB and turtleDB to help you. Source: about 3 years ago
I've heard people recommend CouchDB, no personal expience though. It is also nosql, somewhat similar to mongo. The selling feature is easy scalability. I'm planning to take a weekend to try it out myself. Https://couchdb.apache.org/. Source: about 3 years ago
If you can change your DB, then Apache CouchDB[0] handles this out of the box. Otherwise consider something like Apace ShardingSphere[1]. [0] https://couchdb.apache.org [1] https://shardingsphere.apache.org. - Source: Hacker News / over 3 years ago
Apache CouchDB is an open source NoSQL document database that collects and stores data in JSON-based document formats. Since CouchDB makes use of HTTP protocol, therefore we can use any HTTP client to connect with CouchDB. However, there are some existing CouchDB client libraries that are very easy and convenience to use. Below I would like to share 3 libraries that I frequent use to connect with CouchDB. - Source: dev.to / over 3 years ago
ListItem(name='CouchDB', website='https://couchdb.apache.org/', category='NoSQL :: Document Databases', short_description='Apache CouchDB is an open-source document-oriented NoSQL database, implemented in Erlang. CouchDB uses multiple formats and protocols to store, transfer, and process its data. It uses JSON to store data, JavaScript as its query language using MapReduce, and HTTP for an API.'). Source: over 3 years ago
A short introduce about CouchDB first for those who don't know. Apache CouchDB is an open-source document-oriented NoSQL database, implemented in Erlang. It is very easy to use as CouchDB makes use of the ubiquitous HTTP protocol and JSON data format. Do check out their Official Website for more detail. 😉. - Source: dev.to / over 3 years ago
So I am building a project using databases called CouchDB & PouchDB. I have talked them first here where PouchDB was giving me trouble, it turned out be me not knowing my javascript good enough. 🙈. - Source: dev.to / about 4 years ago
I am using CouchDB & PouchDB for one of my projects. - Source: dev.to / about 4 years ago
Maybe you can try CouchDB alongside with PouchDB integration on client side? This page contains a comparison between them. Source: about 4 years ago
Personally, I prefer using CouchDB for server side storage and PouchDB.js on the client side because you can start making your app and storing your data with just PouchDB and run it entirely in your web browser. Source: about 4 years ago
Apache CouchDB has garnered a diverse range of opinions across the developer community, reflecting both its strengths and the challenges that users encounter. As a multipurpose open-source NoSQL database, CouchDB stands out primarily for its unique approach to data storage and synchronization, which is particularly beneficial for building offline-first applications.
Developer-Friendly and Cross-Platform Support
CouchDB is praised for its developer-friendly API and rich web administration dashboard. It simplifies CRUD operations, user authentication, and supports straightforward document management and file attachments. Developers find its configuration process to be remarkably simple, providing seamless cross-platform support across Windows, Linux, macOS, and even resource-limited Linux servers. These attributes make CouchDB an appealing choice for developers of various expertise levels.
Offline-First Capabilities
One of CouchDB's defining features is its robust support for building offline-first applications, particularly when combined with PouchDB, a JavaScript implementation of CouchDB’s synchronization API. This capability allows developers to create applications that maintain functionality and data integrity even in environments with intermittent connectivity. The replication protocol from CouchDB is a significant advantage for projects requiring distributed databases, ensuring data consistency and reliability across multiple platforms, including mobile devices.
Integration and Ecosystem
CouchDB's JSON-based data storage and HTTP protocol usage facilitate integration with various client-side applications. Its compatibility with popular technologies in the JavaScript ecosystem allows straightforward use within web browsers, aligning with modern development workflows. Additionally, CouchDB’s ability to serve as both a database and server, and even host frontend code via CouchApps, adds to its versatility.
Community and Adoption
Despite its strengths, CouchDB faces competitive pressure from NoSQL counterparts like MongoDB and modern graph databases such as ArangoDB. The community often discusses its lesser visibility compared to more widely adopted alternatives. Nevertheless, CouchDB maintains a dedicated user base that appreciates its unique synchronization features, even though this may require a more nuanced understanding of JavaScript and offline-first development paradigms.
Complex Queries and Indexing
While CouchDB is favored for certain use cases, developers sometimes highlight its limitations in handling complex queries. Unlike relational databases with dynamic SQL query capabilities, CouchDB's design focuses on fixed MapReduce views for querying, which may not be intuitive for all developers, particularly those used to the flexibility of SQL. Furthermore, although index creation is optional, optimizing performance may require additional efforts which might pose a learning curve.
Product Confusion
Occasionally, CouchDB suffers from product misidentification, being inadvertently compared or mixed up with Couchbase, a distinct database that, despite sharing historical roots, functions differently. This confusion underscores a need for clearer distinctions within forums and discussions.
Overall, CouchDB holds a valuable place in the database ecosystem, particularly for scenarios prioritizing offline capabilities and easy replication. Its integration with PouchDB enhances its appeal for developers focusing on robust synchronization. However, careful consideration of its querying model and relative community size is advisable for those evaluating it against other NoSQL offerings. As the landscape of databases continues to evolve, CouchDB remains a notable option for particular development environments and needs.
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