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DBMS > Amazon Aurora vs. Dolt vs. Elasticsearch vs. RDFox

System Properties Comparison Amazon Aurora vs. Dolt vs. Elasticsearch vs. RDFox

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDolt  Xexclude from comparisonElasticsearch  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonA MySQL compatible DBMS with Git-like versioning of data and schemaA 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 metricHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSSearch engineGraph DBMS
RDF store
Secondary database modelsDocument storeDocument storeDocument store
Spatial DBMS
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.84
Rank#44  Overall
#28  Relational DBMS
Score0.93
Rank#194  Overall
#90  Relational DBMS
Score128.79
Rank#8  Overall
#1  Search engines
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websiteaws.amazon.com/­rds/­auroragithub.com/­dolthub/­dolt
www.dolthub.com
www.elastic.co/­elasticsearchwww.oxfordsemantic.tech
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.dolthub.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.oxfordsemantic.tech
DeveloperAmazonDoltHub IncElasticOxford Semantic Technologies
Initial release2015201820102017
Current release8.6, January 20236.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoElastic Licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++
Server operating systemshostedLinux
macOS
Windows
All OS with a Java VMLinux
macOS
Windows
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyes infoRDF schemas
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.yesnono
Secondary indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
CLI Client
HTTP REST
Java API
RESTful HTTP/JSON API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C
Java
Server-side scripts infoStored proceduresyesyes infocurrently in alpha releaseyes
Triggersyesyesyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesMemcached and Redis integrationyes
User concepts infoAccess controlfine grained access rights according to SQL-standardOnly one user is configurable, and must be specified in the config file at startupRoles, resources, and access types

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More resources
Amazon AuroraDoltElasticsearchRDFox
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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PostgreSQL is the DBMS of the Year 2017
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2 March 2016, Paul Andlinger

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Recent citations in the news

Migrate SQL Server databases to Babelfish for Aurora PostgreSQL using change tracking with a linked server
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University spin-out Oxford Semantic Technologies acquired by Samsung Electronics
16 July 2024, University of Oxford

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