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DBMS > EsgynDB vs. Graph Engine vs. GridGain vs. OpenEdge vs. OrientDB

System Properties Comparison EsgynDB vs. Graph Engine vs. GridGain vs. OpenEdge vs. OrientDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonGridGain  Xexclude from comparisonOpenEdge  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineGridGain is an in-memory computing platform, built on Apache IgniteApplication development environment with integrated database management systemMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSGraph DBMS
Key-value store
Key-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.esgyn.cnwww.graphengine.iowww.gridgain.comwww.progress.com/­openedgeorientdb.org
Technical documentationwww.graphengine.io/­docs/­manualwww.gridgain.com/­docs/­index.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.orientdb.com/­docs/­last/­index.html
DeveloperEsgynMicrosoftGridGain Systems, Inc.Progress Software CorporationOrientDB LTD; CallidusCloud; SAP
Initial release20152010200719842010
Current releaseGridGain 8.5.1OpenEdge 12.2, March 20203.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialcommercialOpen Source infoApache version 2
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++, Java.NET and CJava, C++, .NetJava
Server operating systemsLinux.NETLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesyesyesyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.nonoyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLyes infoclose to SQL 92SQL-like query language, no joins
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
F#
Visual Basic
C#
C++
Java
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language).Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes (compute grid and cache interceptors can be used instead)yesJava, Javascript
Triggersnonoyes (cache interceptors and events)yesHooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardinghorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes (replicated cache)Source-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)nono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsUsers and groupsAccess rights for users and roles; record level security configurable

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More resources
EsgynDBGraph Engine infoformer name: TrinityGridGainOpenEdgeOrientDB
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