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DBMS > IBM Db2 Event Store vs. Kyligence Enterprise vs. MarkLogic vs. RDFox

System Properties Comparison IBM Db2 Event Store vs. Kyligence Enterprise vs. MarkLogic vs. RDFox

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA distributed analytics engine for big data, built on top of Apache KylinOperational and transactional Enterprise NoSQL databaseHigh performance knowledge graph and semantic reasoning engine
Primary database modelEvent Store
Time Series DBMS
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.ibm.com/­products/­db2-event-storekyligence.io/­kyligence-enterprisewww.progress.com/­marklogicwww.oxfordsemantic.tech
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.progress.com/­marklogic/­documentationdocs.oxfordsemantic.tech
DeveloperIBMKyligence, Inc.MarkLogic Corp.Oxford Semantic Technologies
Initial release2017201620012017
Current release2.011.0, December 20226.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC++C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxLinux
OS X
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free infoSchema can be enforcedyes infoRDF schemas
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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeANSI SQL for queries (using Apache Calcite)yes infoSQL92no
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, with Range Indexesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsRoles, resources, and access types

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More resources
IBM Db2 Event StoreKyligence EnterpriseMarkLogicRDFox
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