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DBMS > Apache HugeGraph vs. RocksDB

System Properties Comparison Apache HugeGraph vs. RocksDB

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Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#318  Overall
#27  Graph DBMS
Score3.21
Rank#83  Overall
#12  Key-value stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
rocksdb.org
Technical documentationhugegraph.apache.org/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperBaiduFacebook, Inc.
Initial release20182013
Current release0.99.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
macOS
Unix
Linux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexno
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Java API
Supported programming languagesGroovy
Java
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlUsers, roles and permissionsno

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More resources
Apache HugeGraphRocksDB
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