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DBMS > Hypertable vs. JanusGraph vs. Kinetica vs. Oracle Rdb vs. PouchDB

System Properties Comparison Hypertable vs. JanusGraph vs. Kinetica vs. Oracle Rdb vs. PouchDB

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonJanusGraph infosuccessor of Titan  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 open source BigTable implementation based on distributed file systems such as HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDB
Primary database modelWide column storeGraph DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#125  Overall
#12  Graph 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
Websitejanusgraph.orgwww.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlpouchdb.com
Technical documentationdocs.janusgraph.orgdocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlpouchdb.com/­guides
DeveloperHypertable Inc.Linux Foundation; originally developed as Titan by AureliusKineticaOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release20092017201219842012
Current release0.9.8.11, March 20160.6.3, February 20237.1, August 20217.4.1.1, 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC, C++JavaScript
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Unix
Windows
LinuxHP Open VMSserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesrestricted infoonly exact value or prefix value scansyesyesyesyes infovia views
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesno
APIs and other access methodsC++ API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresnoyesuser defined functionsView functions in JavaScript
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelyesSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Faunus, a graph analytics enginenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes 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.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlnoUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelno

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More resources
HypertableJanusGraph infosuccessor of TitanKineticaOracle RdbPouchDB
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