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DBMS > Altibase vs. KeyDB vs. mSQL vs. RDF4J vs. Splice Machine

System Properties Comparison Altibase vs. KeyDB vs. mSQL vs. RDF4J vs. Splice Machine

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonKeyDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsmSQL (Mini SQL) is a simple and lightweight RDBMSRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeRelational DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitealtibase.comgithub.com/­Snapchat/­KeyDB
keydb.dev
hughestech.com.au/­products/­msqlrdf4j.orgsplicemachine.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.keydb.devrdf4j.org/­documentationsplicemachine.com/­how-it-works
DeveloperAltibaseEQ Alpha Technology Ltd.Hughes TechnologiesSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Splice Machine
Initial release19992019199420042014
Current releasev7.3, 2023, August 20234.4, October 20213.1, March 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoBSD-3commercial infofree licenses can be providedOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CJavaJava
Server operating systemsAIX
HP-UX
Linux
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyesyes
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.nonono
Secondary indexesyesyes infoby using the Redis Search moduleyesyesyes
SQL infoSupport of SQLANSI SQL-92noA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C++
Java
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
Java
PHP
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsLuanoyesyes infoJava
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
nonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
noneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes infoin-memory storage is supported as wellyes
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-standardsimple password-based access control and ACLnonoAccess rights for users, groups and roles according to SQL-standard

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More resources
AltibaseKeyDBmSQL infoMini SQLRDF4J infoformerly known as SesameSplice Machine
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