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DBMS > 4D vs. Amazon Aurora vs. Amazon CloudSearch vs. Datomic vs. HarperDB

System Properties Comparison 4D vs. Amazon Aurora vs. Amazon CloudSearch vs. Datomic vs. HarperDB

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonDatomic  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemMySQL and PostgreSQL compatible cloud service by AmazonA hosted search engine service by Amazon with the data stored in Amazons cloudDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityUltra-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 DBMSRelational DBMSSearch engineRelational DBMSDocument store
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
Score1.81
Rank#137  Overall
#12  Search engines
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Websitewww.4d.comaws.amazon.com/­rds/­auroraaws.amazon.com/­cloudsearchwww.datomic.comwww.harperdb.io
Technical documentationdeveloper.4d.comdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.aws.amazon.com/­cloudsearchdocs.datomic.comdocs.harperdb.io/­docs
Developer4D, IncAmazonAmazonCognitectHarperDB
Initial release19842015201220122017
Current releasev20, April 20231.0.7075, December 20233.1, August 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infolimited edition freecommercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureNode.js
Server operating systemsOS X
Windows
hostedhostedAll OS with a Java VMLinux
OS X
Data schemeyesyesyesyesdynamic schema
Typing infopredefined data types such as float or dateyesyesyesyesyes 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.yesyesnono
Secondary indexesyesyesyes infoall search fields are automatically indexedyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yesnonoSQL-like data manipulation statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
ADO.NET
JDBC
ODBC
HTTP APIRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
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
Clojure
Java
.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 proceduresyesyesnoyes infoTransaction FunctionsCustom Functions infosince release 3.1
TriggersyesyesnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningyes infoautomatic partitioning across Amazon Search Instance as requirednone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationyes infomanaged transparently by AWSnone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyes
User concepts infoAccess controlUsers and groupsfine grained access rights according to SQL-standardauthentication via encrypted signaturesnoAccess rights for users and roles

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More resources
4D infoformer name: 4th DimensionAmazon AuroraAmazon CloudSearchDatomicHarperDB
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