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DBMS > 4D vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Cloudflare Workers KV vs. Teradata Aster

System Properties Comparison 4D vs. Amazon DocumentDB vs. Atos Standard Common Repository vs. Cloudflare Workers KV vs. Teradata Aster

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonTeradata Aster  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Platform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument storeDocument store
Key-value store
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#110  Overall
#54  Relational DBMS
Score1.89
Rank#137  Overall
#24  Document stores
Score0.39
Rank#278  Overall
#39  Key-value stores
Websitewww.4d.comaws.amazon.com/­documentdbatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kv
Technical documentationdeveloper.4d.comaws.amazon.com/­documentdb/­resourcesdevelopers.cloudflare.com/­kv/­api
Developer4D, IncAtos Convergence CreatorsCloudflareTeradata
Initial release19842019201620182005
Current releasev20, April 20231703
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsOS X
Windows
hostedLinuxhostedLinux
Data schemeyesschema-freeSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesoptionalnoyes
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.yesnoyesnoyes infoin Aster File Store
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92nononoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
proprietary protocol using JSON (MongoDB compatible)LDAPHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
Go
Java
JavaScript (Node.js)
PHP
Python
All languages with LDAP bindingsC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnononoR packages
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesLDAP bind authenticationfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAmazon DocumentDBAtos Standard Common RepositoryCloudflare Workers KVTeradata Aster
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