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DBMS > EsgynDB vs. Hypertable vs. Informix vs. Newts vs. RDF4J

System Properties Comparison EsgynDB vs. Hypertable vs. Informix vs. Newts vs. RDF4J

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHypertable  Xexclude from comparisonInformix  Xexclude from comparisonNewts  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source BigTable implementation based on distributed file systems such as HadoopA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataTime Series DBMS based on CassandraRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSWide column storeRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBTime Series DBMSRDF store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score17.12
Rank#34  Overall
#21  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.esgyn.cnwww.ibm.com/­products/­informixopennms.github.io/­newtsrdf4j.org
Technical documentationinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
github.com/­OpenNMS/­newts/­wikirdf4j.org/­documentation
DeveloperEsgynHypertable Inc.IBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.OpenNMS GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20152009198420142004
Current release0.9.8.11, March 201614.10.FC5, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++C, C++ and JavaJavaJava
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyes infoSince Version 12.10 support for JSON/BSON datatypesyesyes
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.nono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesnoyes
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
C++ API
Thrift
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
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
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaJava
PHP
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnoyesnoyes
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersselectable replication factor on file system levelMulti-source replication
Source-replica replication
selectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authentication, authorization, and auditing controlsnono

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More resources
EsgynDBHypertableInformixNewtsRDF4J infoformerly known as Sesame
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