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DBMS > Geode vs. GridGain vs. JanusGraph vs. Memgraph

System Properties Comparison Geode vs. GridGain vs. JanusGraph vs. Memgraph

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionGeode 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 2017An open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelKey-value storeKey-value store
Relational DBMS
Graph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitegeode.apache.orgwww.gridgain.comjanusgraph.orgmemgraph.com
Technical documentationgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperOriginally 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 AureliusMemgraph Ltd
Initial release2002200720172017
Current release1.1, February 2017GridGain 8.5.10.6.3, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJavaC and C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesnono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsJava 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
Bolt protocol
Cypher query language
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)yes
Triggersyes infoCache Event Listenersyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes (replicated cache)yesMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights per client and object definableSecurity Hooks for custom implementationsUser authentification and security via Rexster Graph ServerUsers, roles and permissions
More information provided by the system vendor
GeodeGridGainJanusGraph infosuccessor of TitanMemgraph
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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GeodeGridGainJanusGraph infosuccessor of TitanMemgraph
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