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DBMS > EXASOL vs. Informix vs. IRONdb vs. Netezza vs. RDF4J

System Properties Comparison EXASOL vs. Informix vs. IRONdb vs. Netezza vs. RDF4J

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonInformix  Xexclude from comparisonIRONdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.A secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityData warehouse and analytics appliance part of IBM PureSystemsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBTime Series DBMSRelational DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.exasol.comwww.ibm.com/­products/­informixwww.circonus.com/solutions/time-series-database/www.ibm.com/­products/­netezzardf4j.org
Technical documentationwww.exasol.com/­resourcesinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
docs.circonus.com/irondb/category/getting-startedrdf4j.org/­documentation
DeveloperExasolIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Circonus LLC.IBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20001984201720002004
Current release14.10.FC5, November 2020V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
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 languageC, C++ and JavaC and C++Java
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxLinux infoincluded in applianceLinux
OS X
Unix
Windows
Data schemeyesyesschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesyes infotext, numeric, histogramsyesyes
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
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)yesno
APIs and other access methods.Net
JDBC
ODBC
WebSocket
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
HTTP APIJDBC
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesJava
Lua
Python
R
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesyes, in Luayesyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesyesno
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authentication, authorization, and auditing controlsnoUsers with fine-grained authorization conceptno

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More resources
EXASOLInformixIRONdbNetezza infoAlso called PureData System for Analytics by IBMRDF4J infoformerly known as Sesame
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