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DBMS > Hypertable vs. InterSystems IRIS vs. Kinetica vs. Sphinx

System Properties Comparison Hypertable vs. InterSystems IRIS vs. Kinetica vs. Sphinx

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKinetica  Xexclude from comparisonSphinx  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 containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityFully vectorized database across both GPUs and CPUsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelWide column storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.intersystems.com/­products/­intersystems-iriswww.kinetica.comsphinxsearch.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.kinetica.comsphinxsearch.com/­docs
DeveloperHypertable Inc.InterSystemsKineticaSphinx Technologies Inc.
Initial release2009201820122001
Current release0.9.8.11, March 20162023.3, June 20237.1, August 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Linux
macOS
Ubuntu
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freedepending on used data modelyesyes
Typing infopredefined data types such as float or datenoyesyesno
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.yesno
Secondary indexesrestricted infoonly exact value or prefix value scansyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query language (SphinxQL)
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoyesAccess rights for users and roles on table levelno
More information provided by the system vendor
HypertableInterSystems IRISKineticaSphinx
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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HypertableInterSystems IRISKineticaSphinx
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