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DBMS > AllegroGraph vs. Amazon CloudSearch vs. Amazon DocumentDB vs. Riak KV

System Properties Comparison AllegroGraph vs. Amazon CloudSearch vs. Amazon DocumentDB vs. Riak KV

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonRiak KV  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, scalable, highly available, and fully managed MongoDB-compatible database serviceDistributed, fault tolerant key-value store
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score1.85
Rank#137  Overall
#12  Search engines
Score1.91
Rank#132  Overall
#24  Document stores
Score4.10
Rank#82  Overall
#9  Key-value stores
Websiteallegrograph.comaws.amazon.com/­cloudsearchaws.amazon.com/­documentdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­cloudsearchaws.amazon.com/­documentdb/­resourceswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperFranz Inc.AmazonOpenSource, formerly Basho Technologies
Initial release2004201220192009
Current release8.0, December 20233.2.0, December 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
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 languageErlang
Server operating systemsLinux
OS X
Windows
hostedhostedLinux
OS X
Data schemeyes infoRDF schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexedyesrestricted
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP APIproprietary protocol using JSON (MongoDB compatible)HTTP API
Native Erlang Interface
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
PHP
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnonoErlang
Triggersyesnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infoautomatic partitioning across Amazon Search Instance as requirednoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infomanaged transparently by AWSMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possibleno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-document operationsno
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.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationauthentication via encrypted signaturesAccess rights for users and rolesyes, using Riak Security
More information provided by the system vendor
AllegroGraphAmazon CloudSearchAmazon DocumentDBRiak KV
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
News

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17 April 2024

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3 April 2024

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9 February 2024

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23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphAmazon CloudSearchAmazon DocumentDBRiak KV
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