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DBMS > AllegroGraph vs. Amazon CloudSearch vs. Elasticsearch vs. Oracle Berkeley DB

System Properties Comparison AllegroGraph vs. Amazon CloudSearch vs. Elasticsearch vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonElasticsearch  Xexclude from comparisonOracle Berkeley DB  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 cloudA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricWidely used in-process key-value store
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Vector 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
#7  Vector DBMS
Score1.81
Rank#137  Overall
#12  Search engines
Score132.83
Rank#7  Overall
#1  Search engines
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websiteallegrograph.comaws.amazon.com/­cloudsearchwww.elastic.co/­elasticsearchwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­cloudsearchwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFranz Inc.AmazonElasticOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2004201220101994
Current release8.0, December 20238.6, January 202318.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoElastic LicenseOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyes infoRDF schemasyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-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 possiblenoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infoall search fields are automatically indexedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.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
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyesno
Triggersyesnoyes infoby using the 'percolation' featureyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infomanaged transparently by AWSyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.noMemcached and Redis integrationyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationauthentication via encrypted signaturesno
More information provided by the system vendor
AllegroGraphAmazon CloudSearchElasticsearchOracle Berkeley DB
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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