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DBMS > Amazon Aurora vs. EJDB vs. HarperDB vs. Lovefield vs. Yaacomo

System Properties Comparison Amazon Aurora vs. EJDB vs. HarperDB vs. Lovefield vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonEJDB  Xexclude from comparisonHarperDB  Xexclude from comparisonLovefield  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Ultra-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.Embeddable relational database for web apps written in pure JavaScriptOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.50
Rank#49  Overall
#31  Relational DBMS
Score0.30
Rank#294  Overall
#44  Document stores
Score0.55
Rank#252  Overall
#38  Document stores
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websiteaws.amazon.com/­rds/­auroragithub.com/­Softmotions/­ejdbwww.harperdb.iogoogle.github.io/­lovefieldyaacomo.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.harperdb.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperAmazonSoftmotionsHarperDBGoogleQ2WEB GmbH
Initial release20152012201720142009
Current release3.1, August 20212.1.12, February 2017
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infofree community edition availableOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCNode.jsJavaScript
Server operating systemshostedserver-lessLinux
OS X
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
Linux
Windows
Data schemeyesschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes infoJSON data typesyesyes
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.yesnonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoSQL-like data manipulation statementsSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsADO.NET
JDBC
ODBC
in-process shared libraryJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
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
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.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
JavaScript
Server-side scripts infoStored proceduresyesnoCustom Functions infosince release 3.1no
TriggersyesnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneA table resides as a whole on one (or more) nodes in a clusternonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infothe nodes on which a table resides can be definednoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Amazon AuroraEJDBHarperDBLovefieldYaacomo
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