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DBMS > GigaSpaces vs. IRONdb vs. Realm vs. Splice Machine vs. STSdb

System Properties Comparison GigaSpaces vs. IRONdb vs. Realm vs. Splice Machine vs. STSdb

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIRONdb  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitewww.gigaspaces.comwww.circonus.com/solutions/time-series-database/realm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.circonus.com/irondb/category/getting-startedrealm.io/­docssplicemachine.com/­how-it-works
DeveloperGigaspaces TechnologiesCirconus LLC.Realm, acquired by MongoDB in May 2019Splice MachineSTS Soft SC
Initial release20002017201420142011
Current release15.5, September 2020V0.10.20, January 20183.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, 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 languageJava, C++, .NetC and C++JavaC#
Server operating systemsLinux
macOS
Solaris
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes infoprimitive types and user defined types (classes)
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.no infoXML can be used for describing objects metadatanono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL-99 for query and DML statementsSQL-like query language (Circonus Analytics Query Language: CAQL)noyesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP APIJDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languages.Net
C++
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresyesyes, in Luano inforuns within the applications so server-side scripts are unnecessaryyes infoJavano
Triggersyes, event driven architecturenoyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
configurable replication factor, datacenter awarenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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 infoIn-Memory realmyes
User concepts infoAccess controlRole-based access controlnoyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
GigaSpacesIRONdbRealmSplice MachineSTSdb
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