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DBMS > RocksDB vs. Sphinx vs. Splice Machine

System Properties Comparison RocksDB vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameRocksDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelKey-value storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#103  Overall
#19  Key-value stores
Score7.04
Rank#49  Overall
#5  Search engines
Score0.72
Rank#178  Overall
#89  Relational DBMS
Websiterocksdb.orgsphinxsearch.comwww.splicemachine.com
Technical documentationgithub.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docsdoc.splicemachine.com
DeveloperFacebook, Inc.Sphinx Technologies Inc.John Leach
Initial release201320012014
Current release6.3.6, October 20193.1.1, October 20182.0
License infoCommercial or Open SourceOpen Source infoBSDOpen 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 systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyes
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 SQLnoSQL-like query language (SphinxQL)yes
APIs and other access methodsC++ API
Java API
Proprietary protocolJDBC
ODBC
Supported programming languagesC++
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
JRuby
Scala
Server-side scripts infoStored proceduresnonoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 controlnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
RocksDBSphinxSplice Machine
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