CouchDB vs Iris Couch

Overview

Iris Couch

Stacks4

Followers10

Votes0

CouchDB

Stacks529

Followers584

Votes139

GitHub Stars6.7K

Forks1.1K

CouchDB vs Iris Couch: What are the differences?

Introduction

CouchDB and Iris Couch are two database technologies that offer different features and functionalities. Here are the key differences between them:

Data Replication: CouchDB provides built-in support for data replication, allowing data to be synchronized across multiple instances of the database. This replication feature ensures that data remains consistent and available even in the event of network partitions or failures. On the other hand, Iris Couch does not include built-in data replication functionality, requiring additional configuration and setup to achieve similar results.
Deployment Options: CouchDB can be deployed on-premise or in the cloud, offering flexibility in choosing the deployment environment that best suits the application's needs. Iris Couch, on the other hand, is a fully managed cloud-based service, offering a simple and hassle-free deployment experience. This difference in deployment options provides different levels of control and management for the database.
Community Support: CouchDB has a larger and more active community compared to Iris Couch. This means that CouchDB users have access to a wider range of resources, such as community forums, user groups, and online documentation. The larger community also means that CouchDB is constantly being improved and updated with new features and bug fixes. Iris Couch, being a proprietary service, has a smaller community and may have limited resources available for support and development.
Pricing Model: CouchDB is an open-source database, meaning it is free to use and can be modified and distributed by anyone. Iris Couch, on the other hand, is a commercial service that requires a paid subscription. This difference in pricing models means that CouchDB is more cost-effective for small-scale deployments or projects with limited budget constraints, while Iris Couch provides additional features and support for organizations willing to invest in a managed database service.
Security Features: CouchDB includes various security features, such as authentication, access control, and data encryption, that can be configured to protect sensitive data. Iris Couch also provides similar security features but may offer additional layers of security and compliance certifications, making it a preferred choice for organizations with strict security requirements or regulatory compliance needs.
Storage Backend: CouchDB provides the option to choose between various storage backends, such as file-based or memory-based storage, depending on the specific use case or performance requirements. Iris Couch, being a managed service, does not offer direct access to the underlying storage backend as it abstracts away the infrastructure details to provide a simplified experience.

In summary, CouchDB provides built-in data replication, flexible deployment options, a larger community, open-source licensing, customizable storage backends, and a range of security features. Iris Couch, on the other hand, offers a fully managed cloud-based service, additional security layers, and compliance certifications at the cost of a proprietary pricing model and potentially limited community support.

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CLI (Node.js)

Manual

Advice on Iris Couch, CouchDB

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.

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Comments

Detailed Comparison

Iris Couch	CouchDB
Iris Couch is free, cloud CouchDB hosting. We provide CouchDB without friction. Sign up for a domain at .iriscouch.com. That’s your CouchDB server. Use it however you like. Iris Couch costs zero dollars for modest usage. Experimenting, developing, prototyping, and even small production sites costs zero dollars.	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.
We provide CouchDB without friction. Sign up for a domain at .iriscouch.com. That’s your CouchDB server. Use it however you like.;Experimenting, developing, prototyping, and even small production sites costs zero dollars.;$1 per gigabyte stored;1¢ for 500 reads: GET, HEAD;1¢ for 100 writes: PUT, POST, DELETE;SSL costs 2¢;Store one gigabyte in the couch for one month, for $1. This includes database data and also views. There is no fee for data transfer.;The Web and CouchDB are democratizing. Iris Couch means: No vendor lock-in, Easy data import and export	Terrific single-node database; Clustered database ; HTTP/JSON; Offline first data sync
Statistics
GitHub Stars -	GitHub Stars 6.7K
GitHub Forks -	GitHub Forks 1.1K
Stacks 4	Stacks 529
Followers 10	Followers 584
Votes 0	Votes 139
Pros & Cons
No community feedback yet	Pros 43 JSON 30 Open source 18 Highly available 12 Partition tolerant 11 Eventual consistency
Integrations
Nodejitsu	No integrations available

What are some alternatives to Iris Couch, CouchDB?

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.

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.

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

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.

Related Comparisons

CouchDB vs Iris Couch: What are the differences?

Introduction

CouchDB and Iris Couch are two database technologies that offer different features and functionalities. Here are the key differences between them:

Data Replication: CouchDB provides built-in support for data replication, allowing data to be synchronized across multiple instances of the database. This replication feature ensures that data remains consistent and available even in the event of network partitions or failures. On the other hand, Iris Couch does not include built-in data replication functionality, requiring additional configuration and setup to achieve similar results.
Deployment Options: CouchDB can be deployed on-premise or in the cloud, offering flexibility in choosing the deployment environment that best suits the application's needs. Iris Couch, on the other hand, is a fully managed cloud-based service, offering a simple and hassle-free deployment experience. This difference in deployment options provides different levels of control and management for the database.
Community Support: CouchDB has a larger and more active community compared to Iris Couch. This means that CouchDB users have access to a wider range of resources, such as community forums, user groups, and online documentation. The larger community also means that CouchDB is constantly being improved and updated with new features and bug fixes. Iris Couch, being a proprietary service, has a smaller community and may have limited resources available for support and development.
Pricing Model: CouchDB is an open-source database, meaning it is free to use and can be modified and distributed by anyone. Iris Couch, on the other hand, is a commercial service that requires a paid subscription. This difference in pricing models means that CouchDB is more cost-effective for small-scale deployments or projects with limited budget constraints, while Iris Couch provides additional features and support for organizations willing to invest in a managed database service.
Security Features: CouchDB includes various security features, such as authentication, access control, and data encryption, that can be configured to protect sensitive data. Iris Couch also provides similar security features but may offer additional layers of security and compliance certifications, making it a preferred choice for organizations with strict security requirements or regulatory compliance needs.
Storage Backend: CouchDB provides the option to choose between various storage backends, such as file-based or memory-based storage, depending on the specific use case or performance requirements. Iris Couch, being a managed service, does not offer direct access to the underlying storage backend as it abstracts away the infrastructure details to provide a simplified experience.

CouchDB vs Iris Couch

Overview

CouchDB vs Iris Couch: What are the differences?