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DBMS > GridGain vs. Memgraph vs. OrientDB vs. Trafodion

System Properties Comparison GridGain vs. Memgraph vs. OrientDB vs. Trafodion

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMemgraph  Xexclude from comparisonOrientDB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteAn open source graph database built for real-time streaming and compatible with Neo4jMulti-model DBMS (Document, Graph, Key/Value)Transactional SQL-on-Hadoop DBMS
Primary database modelKey-value store
Relational DBMS
Graph DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitewww.gridgain.commemgraph.comorientdb.orgtrafodion.apache.org
Technical documentationwww.gridgain.com/­docs/­index.htmlmemgraph.com/­docswww.orientdb.com/­docs/­last/­index.htmltrafodion.apache.org/­documentation.html
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGridGain Systems, Inc.Memgraph LtdOrientDB LTD; CallidusCloud; SAPApache Software Foundation, originally developed by HP
Initial release2007201720102014
Current releaseGridGain 8.5.13.2.29, March 20242.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC and C++JavaC++, Java
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAll OS with a Java JDK (>= JDK 6)Linux
Data schemeyesschema-free and schema-optionalschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like query language, no joinsyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Java, JavascriptJava Stored Procedures
Triggersyes (cache interceptors and events)Hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication using RAFTMulti-source replicationyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono infocould be achieved with distributed queriesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infowith snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers, roles and permissionsAccess rights for users and roles; record level security configurablefine grained access rights according to SQL-standard
More information provided by the system vendor
GridGainMemgraphOrientDBTrafodion
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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GridGainMemgraphOrientDBTrafodion
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