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DBMS > DolphinDB vs. Sphinx vs. Splice Machine

System Properties Comparison DolphinDB vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#266  Overall
#18  Time Series DBMS
Score7.04
Rank#49  Overall
#5  Search engines
Score0.72
Rank#178  Overall
#89  Relational DBMS
Websitewww.dolphindb.comsphinxsearch.comwww.splicemachine.com
Technical documentationwww.dolphindb.com/­helpsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperDolphinDB, IncSphinx Technologies Inc.John Leach
Initial release201820012014
Current release3.1.1, October 20182.0
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsLinux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
Proprietary protocolJDBC
ODBC
Supported programming languagesC#
C++
Java
JavaScript
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
JRuby
Scala
Server-side scripts infoStored proceduresyesnoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes 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.yesyes
User concepts infoAccess controlAdministrators, Users, GroupsnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
DolphinDBSphinxSplice Machine
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