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DBMS > AllegroGraph vs. Apache Phoenix vs. BoltDB vs. RocksDB

System Properties Comparison AllegroGraph vs. Apache Phoenix vs. BoltDB vs. RocksDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Phoenix  Xexclude from comparisonBoltDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embedded key-value store for Go.Embeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#215  Overall
#36  Document stores
#19  Graph DBMS
#9  RDF stores
#11  Vector DBMS
Score1.93
Rank#120  Overall
#59  Relational DBMS
Score0.62
Rank#230  Overall
#32  Key-value stores
Score2.96
Rank#89  Overall
#13  Key-value stores
Websiteallegrograph.comphoenix.apache.orggithub.com/­boltdb/­boltrocksdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlphoenix.apache.orggithub.com/­facebook/­rocksdb/­wiki
DeveloperFranz Inc.Apache Software FoundationFacebook, Inc.
Initial release2004201420132013
Current release8.0, December 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20199.4.0, June 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoBSD
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.
Implementation languageJavaGoC++
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infoRDF schemasyes infolate-bound, schema-on-read capabilitiesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 possiblenonono
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageyesnono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCC++ API
Java API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoC
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono
More information provided by the system vendor
AllegroGraphApache PhoenixBoltDBRocksDB
News

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Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Podcast – Gartner AI Hype Cycle – Knowledge Graphs and Neuro-Symbolic AI
24 August 2024

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More resources
AllegroGraphApache PhoenixBoltDBRocksDB
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