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DBMS > HugeGraph vs. MonetDB vs. RavenDB

System Properties Comparison HugeGraph vs. MonetDB vs. RavenDB

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonMonetDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSA relational database management system that stores data in columnsOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelGraph DBMSRelational DBMSDocument store
Secondary database modelsDocument storeGraph DBMS infoexperimental
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.10
Rank#304  Overall
#29  Graph DBMS
Score1.96
Rank#125  Overall
#62  Relational DBMS
Score4.16
Rank#80  Overall
#14  Document stores
Websitegithub.com/­hugegraphwww.monetdb.orgravendb.net
Technical documentationhugegraph.github.io/­hugegraph-docwww.monetdb.org/­Documentationravendb.net/­docs
DeveloperBaiduMonetDB BVHibernating Rhinos
Initial release201820042010
Current release0.9Jun2020-SP1, July 20204.2, May 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
RavenDB Cloud: Deploy a fully managed RavenDB Cloud Database in minutes on AWS, Azure, and GCP. Enjoy a globally distributed cluster with enterprise-grade security and reduce cloud storage costs by 50% with Native data compression.
Implementation languageJavaCC#
Server operating systemsLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.no
Secondary indexesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsSQL-like query language (RQL)
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, in SQL, C, Ryes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoSource-replica replication available in experimental statusMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknoyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissionsfine grained access rights according to SQL-standardAccess control on document level using the Authorization Bundle
More information provided by the system vendor
HugeGraphMonetDBRavenDB
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metrics2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more
News

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HugeGraphMonetDBRavenDB
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