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DBMS > MonetDB vs. Neo4j vs. TerminusDB vs. TigerGraph

System Properties Comparison MonetDB vs. Neo4j vs. TerminusDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonNeo4j  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionA 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 offeringsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSGraph DBMSGraph DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.monetdb.orgneo4j.comterminusdb.comwww.tigergraph.com
Technical documentationwww.monetdb.org/­Documentationneo4j.com/­docsterminusdb.github.io/­terminusdb/­#docs.tigergraph.com
DeveloperMonetDB BVNeo4j, Inc.DataChemist Ltd.
Initial release2004200720182017
Current releaseDec2023 (11.49), December 20235.20, May 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoGPL V3commercial
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 languageCJava, ScalaProlog, RustC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-free and schema-optionalyesyes
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.nono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsnoSQL-like query language (WOQL)SQL-like query language (GSQL)
APIs and other access methodsJDBC
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
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
JavaScript
Python
C++
Java
Server-side scripts infoStored proceduresyes, in SQL, C, Ryes infoUser defined Procedures and Functionsyesyes
Triggersyesyes infovia event handleryesno
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesyes using Neo4j FabricGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Role-based access controlRole-based access control
More information provided by the system vendor
MonetDBNeo4jTerminusDB infoformer name was DataChemistTigerGraph
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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