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DBMS > Apache Doris vs. Hypertable vs. Kinetica vs. Oracle Rdb vs. PouchDB

System Properties Comparison Apache Doris vs. Hypertable vs. Kinetica vs. Oracle Rdb vs. PouchDB

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPouchDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitedoris.apache.org
github.com/­apache/­doris
www.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlpouchdb.com
Technical documentationgithub.com/­apache/­doris/­wikidocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlpouchdb.com/­guides
DeveloperApache Software Foundation, originally contributed from BaiduHypertable Inc.KineticaOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release20172009201219842012
Current release1.2.2, February 20230.9.8.11, March 20167.1, August 20217.4.1.1, 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, C++JavaScript
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
LinuxHP Open VMSserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nononono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes infovia views
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
MySQL client
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsView functions in JavaScript
Triggersnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor on file system levelSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelno

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Apache DorisHypertableKineticaOracle RdbPouchDB
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