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DBMS > Apache Druid vs. CouchDB vs. OrigoDB vs. QuestDB vs. Transwarp Hippo

System Properties Comparison Apache Druid vs. CouchDB vs. OrigoDB vs. QuestDB vs. Transwarp Hippo

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuestDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A fully ACID in-memory object graph databaseA high performance open source SQL database for time series dataCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument store
Object oriented DBMS
Time Series DBMSVector DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score7.46
Rank#51  Overall
#7  Document stores
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Score0.00
Rank#385  Overall
#16  Vector DBMS
Websitedruid.apache.orgcouchdb.apache.orgorigodb.comquestdb.iowww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchdb.org/­en/­stableorigodb.com/­docsquestdb.io/­docs
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerRobert Friberg et alQuestDB Technology Inc
Initial release201220052009 infounder the name LiveDB20142023
Current release30.0.0, June 20243.3.3, December 20231.0, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC#Java (Zero-GC), C++, RustC++
Server operating systemsLinux
OS X
Unix
Android
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeyes infoschema-less columns are supportedschema-freeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesnoUser defined using .NET types and collectionsyesVector, Numeric and String
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 .NETnono
Secondary indexesyesyes infovia viewsyesnono
SQL infoSupport of SQLSQL for queryingnonoSQL with time-series extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON API.NET Client API
HTTP API
LINQ
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.NetC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptyesnono
Triggersnoyesyes infoDomain Eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoimproved architecture with release 2.0horizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
Source-replica replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infothrough memory mapped filesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per databaseRole based authorizationRole based access control and fine grained access rights
More information provided by the system vendor
Apache DruidCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"OrigoDBQuestDBTranswarp Hippo
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