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DBMS > atoti vs. GigaSpaces vs. RDF4J vs. searchxml vs. SQL.JS

System Properties Comparison atoti vs. GigaSpaces vs. RDF4J vs. searchxml vs. SQL.JS

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGigaSpaces  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonsearchxml  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.DBMS for structured and unstructured content wrapped with an application serverPort of SQLite to JavaScript
Primary database modelObject oriented DBMSDocument store
Object oriented DBMS infoValues are user defined objects
RDF storeNative XML DBMS
Search engine
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteatoti.iowww.gigaspaces.comrdf4j.orgwww.searchxml.net/­category/­productssql.js.org
Technical documentationdocs.atoti.iodocs.gigaspaces.com/­latest/­landing.htmlrdf4j.org/­documentationwww.searchxml.net/­support/­handoutssql.js.org/­documentation/­index.html
DeveloperActiveViamGigaspaces TechnologiesSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.informationpartners gmbhAlon Zakai infoenhancements implemented by others
Initial release2000200420152012
Current release15.5, September 20201.0
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source
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 languageJavaJava, C++, .NetJavaC++JavaScript
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Unix
Windows
Windowsserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyes infoRDF Schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 metadatayesno
Secondary indexesyesyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL-99 for query and DML statementsnonoyes infoSQL-92 is not fully supported
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
WebDAV
XQuery
XSLT
JavaScript API
Supported programming languages.Net
C++
Java
Python
Scala
Java
PHP
Python
C++ infomost other programming languages supported via APIsJavaScript
Server-side scripts infoStored proceduresPythonyesyesyes infoon the application serverno
Triggersyes, event driven architectureyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistencynone
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlRole-based access controlnoDomain, group and role-based access control at the document level and for application servicesno

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More resources
atotiGigaSpacesRDF4J infoformerly known as SesamesearchxmlSQL.JS
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