DBMS > CouchDB vs. Heroic vs. Hyprcubd vs. Informix

System Properties Comparison CouchDB vs. Heroic vs. Hyprcubd vs. Informix

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Name	CouchDB stands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparison	Heroic  Xexclude from comparison	Hyprcubd  Xexclude from comparison	Informix  Xexclude from comparison
			Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Description	A native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.	Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch	Serverless Time Series DBMS	A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database model	Document store	Time Series DBMS	Time Series DBMS	Relational DBMS Since Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database models	Spatial DBMS using the Geocouch extension			Document store Spatial DBMS Time Series DBMS with Informix TimeSeries Extension
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 17.16 Rank #41   Overall #7   Document stores	Score 0.25 Rank #280   Overall #22   Time Series DBMS	Score 0.00 Rank #363   Overall #34   Time Series DBMS	Score 23.62 Rank #34   Overall #20   Relational DBMS
Website	couchdb.apache.org	spotify.github.io/­heroic/­#!/­index	hyprcubd.com/ (offline)	www.ibm.com/­products/­informix
Technical documentation	docs.couchdb.org/­en/­stable	spotify.github.io/­heroic/­#!/­docs/­overview		informix.hcldoc.com www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
Developer	Apache Software Foundation Apache top-level project, originally developed by Damien Katz, a former Lotus Notes developer	Spotify	Hyprcubd, Inc.	IBM, HCL Technologies Effective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release	2005	2014		1984
Current release	3.2.2, April 2022			14.10.FC5, November 2020
License Commercial or Open Source	Open Source Apache version 2	Open Source Apache 2.0	commercial	commercial free developer edition available
Cloud-based only Only available as a cloud service	no	no	yes	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Erlang	Java	Go	C, C++ and Java
Server operating systems	Android BSD Linux OS X Solaris Windows		hosted	AIX HP-UX Linux macOS Solaris Windows
Data scheme	schema-free	schema-free	yes	yes
Typing predefined data types such as float or date	no	yes	yes time, int, uint, float, string	yes Since Version 12.10 support for JSON/BSON datatypes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no
Secondary indexes	yes via views	yes via Elasticsearch	no	yes
SQL Support of SQL	no	no	SQL-like query language	yes
APIs and other access methods	RESTful HTTP/JSON API	HQL (Heroic Query Language, a JSON-based language) HTTP API	gRPC (https)	JDBC JSON API MongoDB compatible MQTT (Message Queue Telemetry Transport) ODBC RESTful HTTP API
Supported programming languages	C C# ColdFusion Erlang Haskell Java JavaScript Lisp Lua Objective-C OCaml Perl PHP PL/SQL Python Ruby Smalltalk			.Net C C++ Java JavaScript (Node.js) PHP Python Ruby
Server-side scripts Stored procedures	View functions in JavaScript	no	no	yes
Triggers	yes	no	no	yes
Partitioning methods Methods for storing different data on different nodes	Sharding improved architecture with release 2.0	Sharding		Sharding
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication Source-replica replication	yes		Multi-source replication Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	yes	no	no	no
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency	Eventual Consistency Immediate Consistency	Eventual Consistency	Immediate Consistency
Foreign keys Referential integrity	no	no	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no atomic operations within a single document possible	no	no	ACID
Concurrency Support for concurrent manipulation of data	yes strategy: optimistic locking	yes	no	yes
Durability Support for making data persistent	yes	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	no	no	no	yes
User concepts Access control	Access rights for users can be defined per database		token access	Users with fine-grained authentication, authorization, and auditing controls
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More resources
	CouchDB stands for "Cluster Of Unreliable Commodity Hardware"	Heroic	Hyprcubd	Informix
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