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DBMS > GigaSpaces vs. Graph Engine vs. RethinkDB vs. SiteWhere vs. SwayDB

System Properties Comparison GigaSpaces vs. Graph Engine vs. RethinkDB vs. SiteWhere vs. SwayDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonRethinkDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDBMS for the Web with a mechanism to push updated query results to applications in realtime.M2M integration platform for persisting/querying time series dataAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Document storeTime Series DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score2.66
Rank#107  Overall
#20  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.gigaspaces.comwww.graphengine.iorethinkdb.comgithub.com/­sitewhere/­sitewhereswaydb.simer.au
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualrethinkdb.com/­docssitewhere1.sitewhere.io/­index.html
DeveloperGigaspaces TechnologiesMicrosoftThe Linux Foundation infosince July 2017SiteWhereSimer Plaha
Initial release20002010200920102018
Current release15.5, September 20202.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicenseOpen Source infoApache Version 2Open Source infoCommon Public Attribution License Version 1.0Open Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net.NET and CC++JavaScala
Server operating systemsLinux
macOS
Solaris
Windows
.NETLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyesno
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 metadatanononono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-99 for query and DML statementsnononono
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP REST
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyesyesno
Triggersyes, event driven architecturenoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding inforange basedSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-document operationsnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlRole-based access controlyes infousers and table-level permissionsUsers with fine-grained authorization conceptno

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