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DBMS > Apache HugeGraph vs. Datomic

System Properties Comparison Apache HugeGraph vs. Datomic

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#318  Overall
#27  Graph DBMS
Score1.49
Rank#142  Overall
#64  Relational DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
www.datomic.com
Technical documentationhugegraph.apache.org/­docsdocs.datomic.com
DeveloperBaiduCognitect
Initial release20182012
Current release0.91.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure
Server operating systemsLinux
macOS
Unix
All OS with a Java VM
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexyes
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
Clojure
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes infoTransaction Functions
TriggersnoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and development
User concepts infoAccess controlUsers, roles and permissionsno

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More resources
Apache HugeGraphDatomic
Recent citations in the news

Apache warns of critical flaws in MINA, HugeGraph, Traffic Control
26 December 2024, BleepingComputer

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