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DBMS > Datomic vs. HugeGraph vs. JanusGraph vs. Neo4j

System Properties Comparison Datomic vs. HugeGraph vs. JanusGraph vs. Neo4j

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonNeo4j  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Scalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offerings
Primary database modelRelational DBMSGraph DBMSGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Websitewww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
janusgraph.orgneo4j.com
Technical documentationdocs.datomic.comhugegraph.apache.org/­docsdocs.janusgraph.orgneo4j.com/­docs
DeveloperCognitectBaiduLinux Foundation; originally developed as Titan by AureliusNeo4j, Inc.
Initial release2012201820172007
Current release1.0.6735, June 20230.90.6.3, February 20235.19, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0Open Source infoApache 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 languageJava, ClojureJavaJavaJava, Scala
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
OS X
Unix
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Data schemeyesyesyesschema-free and schema-optional
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.nonono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infopluggable indexing subsystem, by default Apache Lucene
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Supported programming languagesClojure
Java
Groovy
Java
Python
Clojure
Java
Python
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsasynchronous Gremlin script jobsyesyes infoUser defined Procedures and Functions
TriggersBy using transaction functionsnoyesyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)yes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseyesCausal Clustering using Raft protocol infoavailable in in Enterprise Version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Causal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynoyes infoedges in graphyes infoRelationships in graphsyes 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 persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoUsers, roles and permissionsUser authentification and security via Rexster Graph ServerUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
DatomicHugeGraphJanusGraph infosuccessor of TitanNeo4j
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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