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

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

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonNuoDB  Xexclude from comparisonPlanetScale  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 transactionsScalable, distributed, serverless MySQL database platform built on top of VitessOpen-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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitehazelcast.comhughestech.com.au/­products/­msqlwww.3ds.com/­nuodb-distributed-sql-databaseplanetscale.comsplicemachine.com
Technical documentationhazelcast.org/­imdg/­docsdoc.nuodb.complanetscale.com/­docssplicemachine.com/­how-it-works
DeveloperHazelcastHughes TechnologiesDassault Systèmes infooriginally NuoDB, Inc.PlanetScaleSplice Machine
Initial release20081994201320202014
Current release5.3.6, November 20234.4, October 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree licenses can be providedcommercial infolimited edition freecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++GoJava
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
Docker
Linux
macOS
Linux
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 strategynono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyesyes infowith proprietary extensionsyes
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
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
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesnoJava, SQLyes infoproprietary syntaxyes infoJava
Triggersyes infoEventsnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnoneyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
Multi-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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocolACID at shard levelACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMVCCyes infotable locks or row locks depending on storage engineyes, 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 tableyesyes
User concepts infoAccess controlRole-based access controlnoStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
HazelcastmSQL infoMini SQLNuoDBPlanetScaleSplice Machine
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