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DBMS > Hypertable vs. IBM Cloudant vs. Kinetica vs. RavenDB vs. searchxml

System Properties Comparison Hypertable vs. IBM Cloudant vs. Kinetica vs. RavenDB vs. searchxml

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonKinetica  Xexclude from comparisonRavenDB  Xexclude from comparisonsearchxml  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 HadoopDatabase as a Service offering based on Apache CouchDBFully vectorized database across both GPUs and CPUsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelWide column storeDocument storeRelational DBMSDocument storeNative XML DBMS
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitewww.ibm.com/­products/­cloudantwww.kinetica.comravendb.netwww.searchxml.net/­category/­products
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.kinetica.comravendb.net/­docswww.searchxml.net/­support/­handouts
DeveloperHypertable Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014KineticaHibernating Rhinosinformationpartners gmbh
Initial release20092010201220102015
Current release0.9.8.11, March 20167.1, August 20215.4, July 20221.0
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoAGPL version 3, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ErlangC, C++C#C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinuxLinux
macOS
Raspberry Pi
Windows
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenonoyesnoyes
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.nonoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language (RQL)no
APIs and other access methodsC++ API
Thrift
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptuser defined functionsyesyes infoon the application server
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possiblenoACID, Cluster-wide transaction availablemultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users and roles on table levelAuthorization levels configured per client per databaseDomain, group and role-based access control at the document level and for application services

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More resources
HypertableIBM CloudantKineticaRavenDBsearchxml
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