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DBMS > Ignite vs. RDFox vs. searchxml vs. Splice Machine

System Properties Comparison Ignite vs. RDFox vs. searchxml vs. Splice Machine

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonRDFox  Xexclude from comparisonsearchxml  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.High performance knowledge graph and semantic reasoning engineDBMS for structured and unstructured content wrapped with an application serverOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Relational DBMS
Graph DBMS
RDF store
Native XML DBMS
Search engine
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Score0.01
Rank#386  Overall
#7  Native XML DBMS
#24  Search engines
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websiteignite.apache.orgwww.oxfordsemantic.techwww.searchxml.net/­category/­productssplicemachine.com
Technical documentationapacheignite.readme.io/­docsdocs.oxfordsemantic.techwww.searchxml.net/­support/­handoutssplicemachine.com/­how-it-works
DeveloperApache Software FoundationOxford Semantic Technologiesinformationpartners gmbhSplice Machine
Initial release2015201720152014
Current releaseApache Ignite 2.66.0, Septermber 20221.03.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++C++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
macOS
Windows
WindowsLinux
OS X
Solaris
Windows
Data schemeyesyes 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.yesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
Java
C++ infomost other programming languages supported via APIsC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoon the application serveryes infoJava
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)replication via a shared file systemyes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRoles, resources, and access typesDomain, group and role-based access control at the document level and for application servicesAccess rights for users, groups and roles according to SQL-standard

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More resources
IgniteRDFoxsearchxmlSplice Machine
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