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DBMS > ObjectBox vs. SingleStore vs. Sphinx vs. Valentina Server

System Properties Comparison ObjectBox vs. SingleStore vs. Sphinx vs. Valentina Server

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Editorial information provided by DB-Engines
NameObjectBox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSphinx  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionExtremely fast embedded database for small devices, IoT and MobileMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeOpen source search engine for searching in data from different sources, e.g. relational databasesObject-relational database and reports server
Primary database modelObject oriented DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.22
Rank#172  Overall
#5  Object oriented DBMS
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Score0.18
Rank#329  Overall
#144  Relational DBMS
Websiteobjectbox.iowww.singlestore.comsphinxsearch.comwww.valentina-db.net
Technical documentationdocs.objectbox.iodocs.singlestore.comsphinxsearch.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperObjectBox LimitedSingleStore Inc.Sphinx Technologies Inc.Paradigma Software
Initial release2017201320011999
Current release8.5, January 20243.5.1, February 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infofree developer edition availableOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC and C++C++, GoC++
Server operating systemsAndroid
iOS
Linux
macOS
Windows
Linux info64 bit version requiredFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysSQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary native APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Proprietary protocolODBC
Supported programming languagesC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnoyesnoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesonline/offline synchronization between client and serverSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes 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.noyesyes
User concepts infoAccess controlyesFine grained access control via users, groups and rolesnofine grained access rights according to SQL-standard
More information provided by the system vendor
ObjectBoxSingleStore infoformer name was MemSQLSphinxValentina Server
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ObjectBoxSingleStore infoformer name was MemSQLSphinxValentina Server
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14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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