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DBMS > AnzoGraph DB vs. GridGain vs. Memgraph vs. MonetDB

System Properties Comparison AnzoGraph DB vs. GridGain vs. Memgraph vs. MonetDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGridGain  Xexclude from comparisonMemgraph  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationGridGain is an in-memory computing platform, built on Apache IgniteAn open source graph database built for real-time streaming and compatible with Neo4jA relational database management system that stores data in columns
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitecambridgesemantics.com/­anzographwww.gridgain.commemgraph.comwww.monetdb.org
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.gridgain.com/­docs/­index.htmlmemgraph.com/­docswww.monetdb.org/­Documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCambridge SemanticsGridGain Systems, Inc.Memgraph LtdMonetDB BV
Initial release2018200720172004
Current release2.3, January 2021GridGain 8.5.1Dec2023 (11.49), December 2023
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoMozilla Public License 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++C
Server operating systemsLinuxLinux
OS X
Solaris
Windows
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.ANSI-99 for query and DML statements, subset of DDLnoyes infoSQL 2003 with some extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Bolt protocol
Cypher query language
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)yes, in SQL, C, R
Triggersnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding infodynamic graph partitioningSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes (replicated cache)Multi-source replication using RAFTnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
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 for users and rolesSecurity Hooks for custom implementationsUsers, roles and permissionsfine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraph DBGridGainMemgraphMonetDB
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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More resources
AnzoGraph DBGridGainMemgraphMonetDB
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