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DBMS > AllegroGraph vs. Amazon CloudSearch vs. Amazon Neptune vs. Apache Phoenix

System Properties Comparison AllegroGraph vs. Amazon CloudSearch vs. Amazon Neptune vs. Apache Phoenix

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonApache Phoenix  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA hosted search engine service by Amazon with the data stored in Amazons cloudFast, reliable graph database built for the cloudA scale-out RDBMS with evolutionary schema built on Apache HBase
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineGraph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#8  Vector DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­cloudsearchaws.amazon.com/­neptunephoenix.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­cloudsearchaws.amazon.com/­neptune/­developer-resourcesphoenix.apache.org
DeveloperFranz Inc.AmazonAmazonApache Software Foundation
Initial release2004201220172014
Current release8.0, December 20235.0-HBase2, July 2018 and 4.15-HBase1, December 2019
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
Unix
Windows
Data schemeyes infoRDF schemasyesschema-freeyes infolate-bound, schema-on-read capabilities
Typing infopredefined data types such as float or dateyesyesyesyes
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 possiblenono
Secondary indexesyesyes infoall search fields are automatically indexednoyes
SQL infoSupport of SQLSPARQL is used as query languagenonoyes
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonouser defined functions
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infomanaged transparently by AWSMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoHadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationauthentication via encrypted signaturesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancy
More information provided by the system vendor
AllegroGraphAmazon CloudSearchAmazon NeptuneApache Phoenix
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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