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DBMS > AllegroGraph vs. HugeGraph vs. Oracle Berkeley DB vs. Oracle NoSQL

System Properties Comparison AllegroGraph vs. HugeGraph vs. Oracle Berkeley DB vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA fast-speed and highly-scalable Graph DBMSWidely used in-process key-value storeA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websiteallegrograph.comgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperFranz Inc.BaiduOracle infooriginally developed by Sleepycat, which was acquired by OracleOracle
Initial release2004201819942011
Current release8.0, December 20230.918.1.40, May 202023.3, December 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemsLinux
OS X
Windows
Linux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Solaris SPARC/x86
Data schemeyes infoRDF schemasyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesyesnooptional
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.no infobulk load of XML files possiblenoyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infoSQL interfaced based on SQLite is availableSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Groovy
Java
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispasynchronous Gremlin script jobsnono
Triggersyesnoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationElectable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDconfigurable infoACID within a storage node (=shard)
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infooff heap cache
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers, roles and permissionsnoAccess rights for users and roles
More information provided by the system vendor
AllegroGraphHugeGraphOracle Berkeley DBOracle NoSQL
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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