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DBMS > EXASOL vs. IRONdb vs. MarkLogic vs. RDF4J

System Properties Comparison EXASOL vs. IRONdb vs. MarkLogic vs. RDF4J

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonIRONdb  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOperational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#87  Overall
#44  Relational DBMS
Score0.05
Rank#315  Overall
#27  Time Series DBMS
Score12.47
Rank#38  Overall
#6  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.40
Rank#219  Overall
#10  RDF stores
Websitewww.exasol.com/­en/­productswww.irondb.iowww.marklogic.comrdf4j.org
Technical documentationwww.exasol.com/­en/­community/­resourceswww.irondb.io/­docsdocs.marklogic.comdocs.rdf4j.org
DeveloperExasolCirconus LLC.MarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2000201720012004
Current releaseV0.10.20, January 20189.0, 2017
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Java
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyes 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.nonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes infoSQL92no
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
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++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes, in Luayes infovia XQuery or JavaScriptyes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyes, with Range Indexes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardnoRole-based access control at the document and subdocument levelsno
More information provided by the system vendor
EXASOLIRONdbMarkLogicRDF4J infoformerly known as Sesame
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
The MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
MarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
MarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
MarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more
MarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more

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More resources
EXASOLIRONdbMarkLogicRDF4J infoformerly known as Sesame
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