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DBMS > Linter vs. mSQL vs. Splice Machine

System Properties Comparison Linter vs. mSQL vs. Splice Machine

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Editorial information provided by DB-Engines
NameLinter  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionRDBMS for high security requirementsmSQL (Mini SQL) is a simple and lightweight RDBMSOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitelinter.ruhughestech.com.au/­products/­msqlsplicemachine.com
Technical documentationsplicemachine.com/­how-it-works
Developerrelex.ruHughes TechnologiesSplice Machine
Initial release199019942014
Current release4.4, October 20213.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree licenses can be providedOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CJava
Server operating systemsAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoproprietary syntax with the possibility to convert from PL/SQLnoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles according to SQL-standard

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More resources
LintermSQL infoMini SQLSplice Machine
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