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DBMS > Sequoiadb vs. Sphinx

System Properties Comparison Sequoiadb vs. Sphinx

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Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionNewSQL database with distributed OLTP and SQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#236  Overall
#33  Document stores
#113  Relational DBMS
Score7.23
Rank#46  Overall
#5  Search engines
Websitewww.sequoiadb.comsphinxsearch.com
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsphinxsearch.com/­docs
DeveloperSequoiadb Ltd.Sphinx Technologies Inc.
Initial release20132001
Current release3.1.1, October 2018
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open 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 systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexno
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 SQLSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsproprietary protocol using JSONProprietary protocol
Supported programming languages.Net
C++
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresJavaScriptno
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 systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyes
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.no
User concepts infoAccess controlsimple password-based access controlno
More information provided by the system vendor
SequoiadbSphinx
Specific characteristicsSequoiaDB is a financial-level distributed database including three storage modes:...
» more
Competitive advantagesSequoiaDB provides a leading OLTP solution in the industry, and perfectly addresses...
» more
Typical application scenariosAs a financial-level distributed database management system, SequoiaDB supports distributed...
» more
Key customersChina Minsheng Bank ​ Bank of China Hengfeng Bank China GUANGFA Bank PICC China Mobile...
» more
Market metrics2017,2018 Gartner’s Database Report Listed More than 1000 enterprise customers and...
» more
Licensing and pricing modelsOpen source GPL/Commercial licensing for enterprise version and services
» more

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SequoiadbSphinx
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