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DBMS > Geode vs. IBM Db2 Event Store vs. RDFox vs. Warp 10

System Properties Comparison Geode vs. IBM Db2 Event Store vs. RDFox vs. Warp 10

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonRDFox  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesDistributed Event Store optimized for Internet of Things use casesHigh performance knowledge graph and semantic reasoning engineTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeEvent Store
Time Series DBMS
Graph DBMS
RDF store
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegeode.apache.orgwww.ibm.com/­products/­db2-event-storewww.oxfordsemantic.techwww.warp10.io
Technical documentationgeode.apache.org/­docswww.ibm.com/­docs/­en/­db2-event-storedocs.oxfordsemantic.techwww.warp10.io/­content/­02_Getting_started
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.IBMOxford Semantic TechnologiesSenX
Initial release2002201720172015
Current release1.1, February 20172.06.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree developer edition availablecommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++Java
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes infoRDF schemasschema-free
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSQL-like query language (OQL)yes infothrough the embedded Spark runtimenono
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
Java
Server-side scripts infoStored proceduresuser defined functionsyesyes infoWarpScript
Triggersyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationreplication via a shared file systemselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardRoles, resources, and access typesMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GeodeIBM Db2 Event StoreRDFoxWarp 10
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