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DBMS > JaguarDB vs. Sphinx vs. SQream DB vs. Transwarp ArgoDB

System Properties Comparison JaguarDB vs. Sphinx vs. SQream DB vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloadsDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value store
Vector DBMS
Search engineRelational DBMSRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#15  Vector DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.jaguardb.comsphinxsearch.comsqream.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationwww.jaguardb.com/­support.htmlsphinxsearch.com/­docsdocs.sqream.comdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperDataJaguar, Inc.Sphinx Technologies Inc.SQream TechnologiesTranswarp
Initial release201520012017
Current release3.3 July 20233.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoGPL V3.0Open Source infoGPL version 2, commercial licence availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Typesyes
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 fieldsnoyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like query language (SphinxQL)yesyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol.Net
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonouser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlrights management via user accountsno

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More resources
JaguarDBSphinxSQream DBTranswarp ArgoDB
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