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DBMS > Altibase vs. Apache IoTDB vs. Cubrid vs. Percona Server for MySQL vs. Sphinx

System Properties Comparison Altibase vs. Apache IoTDB vs. Cubrid vs. Percona Server for MySQL vs. Sphinx

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCubrid  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.00
Rank#194  Overall
#91  Relational DBMS
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score2.21
Rank#121  Overall
#58  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websitealtibase.comiotdb.apache.orgcubrid.com (korean)
cubrid.org (english)
www.percona.com/­software/­mysql-database/­percona-serversphinxsearch.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcubrid.org/­manualswww.percona.com/­downloads/­Percona-Server-LATESTsphinxsearch.com/­docs
DeveloperAltibaseApache Software FoundationCUBRID Corporation, CUBRID FoundationPerconaSphinx Technologies Inc.
Initial release19992018200820082001
Current releasev7.3, 2023, August 20231.1.0, April 202311.0, January 20218.0.36-28, 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC, C++, JavaC and C++C++
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VM (>= 1.8)Linux
Windows
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nononoyes
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI SQL-92SQL-like query languageyesyesSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
Native API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Java
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresstored procedures and stored functionsyesJava Stored Proceduresyesno
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replication
Source-replica replication
XtraDB Cluster
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
AltibaseApache IoTDBCubridPercona Server for MySQLSphinx
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