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DBMS > Dgraph vs. EsgynDB vs. GridGain vs. InterSystems IRIS vs. Netezza

System Properties Comparison Dgraph vs. EsgynDB vs. GridGain vs. InterSystems IRIS vs. Netezza

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGridGain  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGridGain is an in-memory computing platform, built on Apache IgniteA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityData warehouse and analytics appliance part of IBM PureSystems
Primary database modelGraph DBMSRelational DBMSKey-value store
Relational DBMS
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitedgraph.iowww.esgyn.cnwww.gridgain.comwww.intersystems.com/­products/­intersystems-iriswww.ibm.com/­products/­netezza
Technical documentationdgraph.io/­docswww.gridgain.com/­docs/­index.htmldocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.cls
DeveloperDgraph Labs, Inc.EsgynGridGain Systems, Inc.InterSystemsIBM
Initial release20162015200720182000
Current releaseGridGain 8.5.12023.3, June 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialcommercial
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 languageGoC++, JavaJava, C++, .Net
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
AIX
Linux
macOS
Ubuntu
Windows
Linux infoincluded in appliance
Data schemeschema-freeyesyesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes (compute grid and cache interceptors can be used instead)yesyes
Triggersnonoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersyes (replicated cache)Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsyesUsers with fine-grained authorization concept
More information provided by the system vendor
DgraphEsgynDBGridGainInterSystems IRISNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
DgraphEsgynDBGridGainInterSystems IRISNetezza infoAlso called PureData System for Analytics by IBM
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