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DBMS > Hypertable vs. IBM Db2 Event Store vs. Newts vs. RDF4J vs. Trafodion

System Properties Comparison Hypertable vs. IBM Db2 Event Store vs. Newts vs. RDF4J vs. Trafodion

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTrafodion  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopDistributed Event Store optimized for Internet of Things use casesTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Transactional SQL-on-Hadoop DBMS
Primary database modelWide column storeEvent Store
Time Series DBMS
Time Series DBMSRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.ibm.com/­products/­db2-event-storeopennms.github.io/­newtsrdf4j.orgtrafodion.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­OpenNMS/­newts/­wikirdf4j.org/­documentationtrafodion.apache.org/­documentation.html
DeveloperHypertable Inc.IBMOpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation, originally developed by HP
Initial release20092017201420042014
Current release0.9.8.11, March 20162.02.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++JavaJavaC++, Java
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesrestricted infoonly exact value or prefix value scansnonoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimenonoyes
APIs and other access methodsC++ API
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaJava
PHP
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoyesnoyesJava Stored Procedures
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelActive-active shard replicationselectable replication factor infobased on Cassandranoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
HypertableIBM Db2 Event StoreNewtsRDF4J infoformerly known as SesameTrafodion
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