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DBMS > EXASOL vs. Hive vs. Ingres vs. IRONdb vs. RDF4J

System Properties Comparison EXASOL vs. Hive vs. Ingres vs. IRONdb vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonHive  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.data warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#120  Overall
#57  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score4.67
Rank#77  Overall
#42  Relational DBMS
Score0.71
Rank#231  Overall
#9  RDF stores
Websitewww.exasol.comhive.apache.orgwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/rdf4j.org
Technical documentationwww.exasol.com/­resourcescwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperExasolApache Software Foundation infoinitially developed by FacebookActian CorporationCirconus LLC.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200020121974 infooriginally developed at University Berkely in early 1970s20172004
Current release3.1.3, April 202211.2, May 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++Java
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsyes
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.nono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
C++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes infouser defined functions and integration of map-reduceyesyes, in Luayes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorIngres Replicatorconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.yesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and rolesfine grained access rights according to SQL-standardnono

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More resources
EXASOLHiveIngresIRONdbRDF4J infoformerly known as Sesame
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