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DBMS > Hyprcubd vs. Realm vs. Sphinx vs. Splice Machine vs. Yanza

System Properties Comparison Hyprcubd vs. Realm vs. Sphinx vs. Splice Machine vs. Yanza

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonYanza  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionServerless Time Series DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS for IoT Applications
Primary database modelTime Series DBMSDocument storeSearch engineRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.60
Rank#52  Overall
#9  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitehyprcubd.com (offline)realm.iosphinxsearch.comsplicemachine.comyanza.com
Technical documentationrealm.io/­docssphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperHyprcubd, Inc.Realm, acquired by MongoDB in May 2019Sphinx Technologies Inc.Splice MachineYanza
Initial release2014200120142015
Current release3.5.1, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemshostedAndroid
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesnoyesno
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 indexesnoyesyes infofull-text index on all search fieldsyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (SphinxQL)yesno
APIs and other access methodsgRPC (https)Proprietary protocolJDBC
Native Spark Datasource
ODBC
HTTP API
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
any language that supports HTTP calls
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessarynoyes infoJavano
Triggersnoyes infoChange Listenersnoyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datanoyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes
User concepts infoAccess controltoken accessyesnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
HyprcubdRealmSphinxSplice MachineYanza
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