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DBMS > EsgynDB vs. Geode vs. GridGain vs. JanusGraph vs. Percona Server for MongoDB

System Properties Comparison EsgynDB vs. Geode vs. GridGain vs. JanusGraph vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
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 processesGridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSKey-value storeKey-value store
Relational DBMS
Graph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.esgyn.cngeode.apache.orgwww.gridgain.comjanusgraph.orgwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgdocs.percona.com/­percona-distribution-for-mongodb
DeveloperEsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.Linux Foundation; originally developed as Titan by AureliusPercona
Initial release20152002200720172015
Current release1.1, February 2017GridGain 8.5.10.6.3, February 20233.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaJava, C++, .NetJavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
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.nonoyesnono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yesJavaScript
Triggersnoyes infoCache Event Listenersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replicationyes (replicated cache)yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights per client and object definableSecurity Hooks for custom implementationsUser authentification and security via Rexster Graph ServerAccess rights for users and roles

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More resources
EsgynDBGeodeGridGainJanusGraph infosuccessor of TitanPercona Server for MongoDB
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