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DBMS > Hazelcast vs. mSQL vs. NuoDB vs. openGauss vs. Splice Machine

System Properties Comparison Hazelcast vs. mSQL vs. NuoDB vs. openGauss vs. Splice Machine

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNuoDB  Xexclude from comparisonopenGauss  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA widely adopted in-memory data gridmSQL (Mini SQL) is a simple and lightweight RDBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score1.26
Rank#163  Overall
#74  Relational DBMS
Score0.87
Rank#201  Overall
#94  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitehazelcast.comhughestech.com.au/­products/­msqlwww.3ds.com/­nuodb-distributed-sql-databasegitee.com/­opengauss
opengauss.org
splicemachine.com
Technical documentationhazelcast.org/­imdg/­docsdoc.nuodb.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
splicemachine.com/­how-it-works
DeveloperHazelcastHughes TechnologiesDassault Systèmes infooriginally NuoDB, Inc.Huawei and openGauss communitySplice Machine
Initial release20081994201320192014
Current release5.3.6, November 20234.4, October 20213.0, March 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree licenses can be providedcommercial infolimited edition freeOpen SourceOpen Source infoAGPL 3.0, commercial license 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 languageJavaCC++C, C++, JavaJava
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesANSI SQL 2011yes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnoJava, SQLyesyes infoJava
Triggersyes infoEventsnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenhorizontal partitioning (by range, list and hash)Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnoneyes infoManaged transparently by NuoDBSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocolACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTemporary tablenoyes
User concepts infoAccess controlRole-based access controlnoStandard SQL roles/ privileges, Administrative UsersAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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More resources
HazelcastmSQL infoMini SQLNuoDBopenGaussSplice Machine
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