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DBMS > EsgynDB vs. Geode vs. Hyprcubd vs. Ingres vs. Netezza

System Properties Comparison EsgynDB vs. Geode vs. Hyprcubd vs. Ingres vs. Netezza

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesServerless Time Series DBMSWell established RDBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitewww.esgyn.cngeode.apache.orghyprcubd.com (offline)www.actian.com/­databases/­ingreswww.ibm.com/­products/­netezza
Technical documentationgeode.apache.org/­docsdocs.actian.com/­ingres
DeveloperEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hyprcubd, Inc.Actian CorporationIBM
Initial release201520021974 infooriginally developed at University Berkely in early 1970s2000
Current release1.1, February 201711.2, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaGoC
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux infoincluded in appliance
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyesyes
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.nononono infobut tools for importing/exporting data from/to XML-files available
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL-like query languageyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsnoyesyes
Triggersnoyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replicationIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definabletoken accessfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
EsgynDBGeodeHyprcubdIngresNetezza infoAlso called PureData System for Analytics by IBM
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