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DBMS > BigchainDB vs. HugeGraph vs. MonetDB vs. Neo4j

System Properties Comparison BigchainDB vs. HugeGraph vs. MonetDB vs. Neo4j

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMonetDB  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA fast-speed and highly-scalable Graph DBMSA relational database management system that stores data in columnsScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelDocument storeGraph DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Websitewww.bigchaindb.comgithub.com/­hugegraph
hugegraph.apache.org
www.monetdb.orgneo4j.com
Technical documentationbigchaindb.readthedocs.io/­en/­latesthugegraph.apache.org/­docswww.monetdb.org/­Documentationneo4j.com/­docs
DeveloperBaiduMonetDB BVNeo4j, Inc.
Initial release2016201820042007
Current release0.9Dec2023 (11.49), December 20235.20, May 2024
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoGPL version3, commercial licenses available
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.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languagePythonJavaCJava, Scala
Server operating systemsLinuxLinux
macOS
Unix
FreeBSD
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free and schema-optional
Typing infopredefined data types such as float or datenoyesyesyes
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.nono
Secondary indexesyes infoalso supports composite index and range indexyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnonoyes infoSQL 2003 with some extensionsno
APIs and other access methodsCLI Client
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Groovy
Java
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, in SQL, C, Ryes infoUser defined Procedures and Functions
Triggersnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding via remote tablesyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBasenone infoSource-replica replication available in experimental statusCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoedges in graphyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesUsers, roles and permissionsfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
BigchainDBHugeGraphMonetDBNeo4j
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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