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DBMS > 4D vs. Amazon Aurora vs. OrigoDB vs. PouchDB vs. Spark SQL

System Properties Comparison 4D vs. Amazon Aurora vs. OrigoDB vs. PouchDB vs. Spark SQL

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonOrigoDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemMySQL and PostgreSQL compatible cloud service by AmazonA fully ACID in-memory object graph databaseJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Document storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.4d.comaws.amazon.com/­rds/­auroraorigodb.compouchdb.comspark.apache.org/­sql
Technical documentationdeveloper.4d.comdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlorigodb.com/­docspouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
Developer4D, IncAmazonRobert Friberg et alApache Software FoundationApache Software Foundation
Initial release198420152009 infounder the name LiveDB20122014
Current releasev20, April 20237.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaScriptScala
Server operating systemsOS X
Windows
hostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsnoyes
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.yesyesno infocan be achieved using .NETnono
Secondary indexesyesyesyesyes infovia viewsno
SQL infoSupport of SQLyes infoclose to SQL 92yesnonoSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.NetJavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresyesyesyesView functions in JavaScriptno
Triggersyesyesyes infoDomain Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationSource-replica replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesdepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardRole based authorizationnono

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More resources
4D infoformer name: 4th DimensionAmazon AuroraOrigoDBPouchDBSpark SQL
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