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

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

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPouchDB  Xexclude from comparisonVitess  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 HadoopFully vectorized database across both GPUs and CPUsJavaScript DBMS with an API inspired by CouchDBScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelWide column storeRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlpouchdb.comvitess.io
Technical documentationdocs.kinetica.comwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlpouchdb.com/­guidesvitess.io/­docs
DeveloperHypertable Inc.KineticaOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software FoundationThe Linux Foundation, PlanetScale
Initial release20092012198420122013
Current release0.9.8.11, March 20167.1, August 20217.4.1.1, 20217.1.1, June 201915.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
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 languageC++C, C++JavaScriptGo
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxHP Open VMSserver-less, requires a JavaScript environment (browser, Node.js)Docker
Linux
macOS
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or datenoyesyesnoyes
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
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesnoyes infowith proprietary extensions
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsView functions in JavaScriptyes infoproprietary syntax
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyes, on a single nodenoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
HypertableKineticaOracle RdbPouchDBVitess
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