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DBMS > HugeGraph vs. LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. TinkerGraph

System Properties Comparison HugeGraph vs. LevelDB vs. Microsoft Azure Table Storage vs. RavenDB vs. TinkerGraph

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonRavenDB  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelGraph DBMSKey-value storeWide column storeDocument storeGraph DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitegithub.com/­hugegraph
hugegraph.apache.org
github.com/­google/­leveldbazure.microsoft.com/­en-us/­services/­storage/­tablesravendb.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationhugegraph.apache.org/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docs
DeveloperBaiduGoogleMicrosoftHibernating Rhinos
Initial release20182011201220102009
Current release0.91.23, February 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#Java
Server operating systemsLinux
macOS
Unix
Illumos
Linux
OS X
Windows
hostedLinux
macOS
Raspberry Pi
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nononono
Secondary indexesyes infoalso supports composite index and range indexnonoyesno
SQL infoSupport of SQLnononoSQL-like query language (RQL)no
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
TinkerPop 3
Supported programming languagesGroovy
Java
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnonoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.none
Foreign keys infoReferential integrityyes infoedges in graphnononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers, roles and permissionsnoAccess rights based on private key authentication or shared access signaturesAuthorization levels configured per client per databaseno

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More resources
HugeGraphLevelDBMicrosoft Azure Table StorageRavenDBTinkerGraph
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