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DBMS > Hive vs. Hyprcubd vs. Memcached vs. Sphinx vs. Splice Machine

System Properties Comparison Hive vs. Hyprcubd vs. Memcached vs. Sphinx vs. Splice Machine

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHyprcubd  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopServerless Time Series DBMSIn-memory key-value store, originally intended for cachingOpen 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 Spark
Primary database modelRelational DBMSTime Series DBMSKey-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitehive.apache.orghyprcubd.com (offline)www.memcached.orgsphinxsearch.comsplicemachine.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperApache Software Foundation infoinitially developed by FacebookHyprcubd, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.Splice Machine
Initial release2012200320012014
Current release3.1.3, April 20221.6.25, March 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC++Java
Server operating systemsAll OS with a Java VMhostedFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringnonoyes
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.no
Secondary indexesyesnonoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
Thrift
gRPC (https)Proprietary protocolProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenononoyes infoJava
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoRepcached, a Memcached patch, provides this functionallitynoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesnoyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users, groups and rolestoken accessyes infousing SASL (Simple Authentication and Security Layer) protocolnoAccess rights for users, groups and roles according to SQL-standard

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More resources
HiveHyprcubdMemcachedSphinxSplice Machine
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