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DBMS > MemSQL vs. Sphinx

System Properties Comparison MemSQL vs. Sphinx

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Editorial information provided by DB-Engines
NameMemSQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storageOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.68
Rank#73  Overall
#38  Relational DBMS
Score7.23
Rank#46  Overall
#5  Search engines
Websitewww.memsql.comsphinxsearch.com
Technical documentationdocs.memsql.comsphinxsearch.com/­docs
DeveloperMemSQL Inc.Sphinx Technologies Inc.
Initial release20132001
Current release6.8, August 20193.1.1, October 2018
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesno
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 indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes, but no triggers and foreign keysSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Supported programming languagesBash
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency only within each node
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOnly isolation level: READ COMMITEDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes 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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
MemSQLSphinx
Specific characteristicsMemSQL is The No Limits Databaseā„¢, powering modern applications and analytical systems...
» more
Competitive advantagesPerformance - Shattering the Trillion-Rows-Per-Second Barrier Fast data ingest -...
» more
Typical application scenariosReal-Time Analytics Internet of Things Personalization and Recommendations Risk Management...
» more
Key customersComcast - Real-time Stream Processing Architecture DellEMC - Getting it Right Exactly...
» more
Market metricsCustomers in various industries worldwide -- US and International Industry Solutions:...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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MemSQLSphinx
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