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DBMS > CouchDB vs. Drizzle vs. Kinetica vs. OrigoDB vs. QuestDB

System Properties Comparison CouchDB vs. Drizzle vs. Kinetica vs. OrigoDB vs. QuestDB

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuestDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsA fully ACID in-memory object graph databaseA high performance open source SQL database for time series data
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Time Series DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitecouchdb.apache.orgwww.kinetica.comorigodb.comquestdb.io
Technical documentationdocs.couchdb.org/­en/­stabledocs.kinetica.comorigodb.com/­docsquestdb.io/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDrizzle project, originally started by Brian AkerKineticaRobert Friberg et alQuestDB Technology Inc
Initial release2005200820122009 infounder the name LiveDB2014
Current release3.3.3, December 20237.2.4, September 20127.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoGNU GPLcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C, C++C#Java (Zero-GC), C++, Rust
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
LinuxLinux
Windows
Linux
macOS
Windows
Data schemeschema-freeyesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyesyesUser defined using .NET types and collectionsyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infocan be achieved using .NETno
Secondary indexesyes infovia viewsyesyesyesno
SQL infoSupport of SQLnoyes infowith proprietary extensionsSQL-like DML and DDL statementsnoSQL with time-series extensions
APIs and other access methodsRESTful HTTP/JSON APIJDBCJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresView functions in JavaScriptnouser defined functionsyesno
Triggersyesno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replicationSource-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDnoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users can be defined per databasePluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelRole based authorization
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DrizzleKineticaOrigoDBQuestDB
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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DrizzleKineticaOrigoDBQuestDB
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