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DBMS > EsgynDB vs. Hazelcast vs. IBM Db2 vs. RDF4J

System Properties Comparison EsgynDB vs. Hazelcast vs. IBM Db2 vs. RDF4J

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA widely adopted in-memory data gridCommon in IBM host environments, 2 different versions for host and Windows/LinuxRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSKey-value storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
RDF store infoin DB2 LUW (Linux, Unix, Windows)
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#265  Overall
#125  Relational DBMS
Score8.36
Rank#45  Overall
#5  Key-value stores
Score168.70
Rank#6  Overall
#5  Relational DBMS
Score0.39
Rank#220  Overall
#10  RDF stores
Websiteesgyn.comhazelcast.comwww.ibm.com/­analytics/­db2rdf4j.org
Technical documentationesgyn.com/­developershazelcast.org/­documentationwww.ibm.com/­support/­knowledgecenter/­SSEPGGdocs.rdf4j.org
DeveloperEsgynHazelcastIBMSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release201520081983 infohost version2004
Current release3.12.2, August 201912.1, October 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial infofree 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

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Implementation languageC++, JavaJavaC and C++Java
Server operating systemsLinuxAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
z/OS
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesyes 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.noyes infothe object must implement a serialization strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Java
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoEvent Listeners, Executor Servicesyesyes
Triggersnoyes infoEventsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoonly with Windows/Unix/Linux Versionnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersyes infoReplicated Mapyes infowith separate tools (MQ, InfoSphere)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACID 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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
EsgynDBHazelcastIBM Db2 infoformerly named DB2 or IBM Database 2RDF4J infoformerly known as Sesame
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Hazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Hazelcast has an optimized, multi-threaded architecture that enables the highest...
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Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Hazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Hazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
Hazelcast provides both open source and commercial software. The open source offering...
» more

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More resources
EsgynDBHazelcastIBM Db2 infoformerly named DB2 or IBM Database 2RDF4J infoformerly known as Sesame
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