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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. AllegroGraph vs. Datomic

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. AllegroGraph vs. Datomic

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparison
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.High performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durability
Primary database modelRelational DBMSDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#220  Overall
#105  Relational DBMS
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score2.83
Rank#101  Overall
#49  Relational DBMS
Websitewww.alibabacloud.com/­products/­analyticdb-for-mysqlallegrograph.comwww.datomic.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.com
DeveloperAlibabaFranz Inc.Cognitect
Initial release20042012
Current release7.0.0, April 20200.9.5951, July 2019
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VM
Data schemeyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesno infobulk load of XML files possibleno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
SPARQL
RESTful HTTP API
Supported programming languagesC#
Java
PHP
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispyes infoTransaction Functions
TriggersyesyesBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicewith Federationnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and development
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLAllegroGraphDatomic
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesThe world leading result in TPC-DS benchmark . Paper published in VLDB 2019: AnalyticDB:...
» more
AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more
News

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

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

Related products and services

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More resources
Alibaba Cloud AnalyticDB for MySQLAllegroGraphDatomic
Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020 (finished)

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