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DBMS > Drizzle vs. mSQL vs. RDFox vs. Rockset vs. Sphinx

System Properties Comparison Drizzle vs. mSQL vs. RDFox vs. Rockset vs. Sphinx

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRDFox  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.mSQL (Mini SQL) is a simple and lightweight RDBMSHigh performance knowledge graph and semantic reasoning engineA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSRelational DBMSGraph DBMS
RDF store
Document storeSearch engine
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.79
Rank#211  Overall
#35  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitehughestech.com.au/­products/­msqlwww.oxfordsemantic.techrockset.comsphinxsearch.com
Technical documentationdocs.oxfordsemantic.techdocs.rockset.comsphinxsearch.com/­docs
DeveloperDrizzle project, originally started by Brian AkerHughes TechnologiesOxford Semantic TechnologiesRocksetSphinx Technologies Inc.
Initial release20081994201720192001
Current release7.2.4, September 20124.4, October 20216.0, Septermber 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercial infofree licenses can be providedcommercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++C++C++
Server operating systemsFreeBSD
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
macOS
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingno
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.nono infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith proprietary extensionsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
SPARQL 1.1
HTTP RESTProprietary protocol
Supported programming languagesC
C++
Java
PHP
C
C++
Delphi
Java
Perl
PHP
Tcl
C
Java
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonereplication via a shared file systemyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoRoles, resources, and access typesAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
DrizzlemSQL infoMini SQLRDFoxRocksetSphinx
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