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DBMS > Ignite vs. Impala vs. RDF4J

System Properties Comparison Ignite vs. Impala vs. RDF4J

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonImpala  Xexclude from comparisonRDF4J infoformerly known as Sesame  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.Analytic DBMS for HadoopRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelKey-value store
Relational DBMS
Relational DBMSRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.32
Rank#72  Overall
#12  Key-value stores
#39  Relational DBMS
Score15.15
Rank#37  Overall
#22  Relational DBMS
Score0.55
Rank#219  Overall
#9  RDF stores
Websiteignite.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlrdf4j.org
Technical documentationapacheignite.readme.io/­docsdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlrdf4j.org/­documentation
DeveloperApache Software FoundationClouderaSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201520132004
Current releaseApache Ignite 2.63.3.0, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++Java
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCJava
PHP
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduceyes
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
IgniteImpalaRDF4J infoformerly known as Sesame
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