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DBMS > Amazon Aurora vs. Datomic vs. EsgynDB vs. FoundationDB

System Properties Comparison Amazon Aurora vs. Datomic vs. EsgynDB vs. FoundationDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonFoundationDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered key-value store. Core features are complimented by layers.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datomic.comwww.esgyn.cngithub.com/­apple/­foundationdb
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datomic.comapple.github.io/­foundationdb
DeveloperAmazonCognitectEsgynFoundationDB
Initial release2015201220152013
Current release1.0.7075, December 20236.2.28, November 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaC++
Server operating systemshostedAll OS with a Java VMLinuxLinux
OS X
Windows
Data schemeyesyesyesschema-free infosome layers support schemas
Typing infopredefined data types such as float or dateyesyesyesno infosome layers support typing
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 indexesyesyesyesno
SQL infoSupport of SQLyesnoyessupported in specific SQL layer only
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Server-side scripts infoStored proceduresyesyes infoTransaction FunctionsJava Stored Proceduresin SQL-layer only
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integrityyesnoyesin SQL-layer only
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentno
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardno

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More resources
Amazon AuroraDatomicEsgynDBFoundationDB
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