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DBMS > Amazon Aurora vs. FoundationDB vs. GeoSpock vs. HarperDB

System Properties Comparison Amazon Aurora vs. FoundationDB vs. GeoSpock vs. HarperDB

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFoundationDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonHarperDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonOrdered key-value store. Core features are complimented by layers.Spatial and temporal data processing engine for extreme data scaleUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Websiteaws.amazon.com/­rds/­auroragithub.com/­apple/­foundationdbgeospock.comwww.harperdb.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlapple.github.io/­foundationdbdocs.harperdb.io/­docs
DeveloperAmazonFoundationDBGeoSpockHarperDB
Initial release201520132017
Current release6.2.28, November 20202.0, September 20193.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infofree community edition available
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, JavascriptNode.js
Server operating systemshostedLinux
OS X
Windows
hostedLinux
OS X
Data schemeyesschema-free infosome layers support schemasyesdynamic schema
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes infoJSON data types
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 indexesyesnotemporal, categoricalyes
SQL infoSupport of SQLyessupported in specific SQL layer onlyANSI SQL for query only (using Presto)SQL-like data manipulation statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresyesin SQL-layer onlynoCustom Functions infosince release 3.1
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingAutomatic shardingA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per tableAccess rights for users and roles

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More resources
Amazon AuroraFoundationDBGeoSpockHarperDB
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