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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonKdb  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 systemHighly 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.High performance Time Series DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.32
Rank#283  Overall
#40  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.cloudflare.com/­developer-platform/­workers-kvkx.com
Technical documentationdeveloper.4d.comdevelopers.cloudflare.com/­kv/­apicode.kx.com
Developer4D, IncAtos Convergence CreatorsCloudflareKx Systems, a division of First Derivatives plcTeradata
Initial release1984201620182000 infokdb was released 2000, kdb+ in 20032005
Current releasev20, April 202317033.6, May 2018
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaq
Server operating systemsOS X
Windows
LinuxhostedLinux
OS X
Solaris
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesFlexible 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 dateyesoptionalnoyesyes
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.yesyesnoyesyes infoin Aster File Store
Secondary indexesyesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLyes infoclose to SQL 92nonoSQL-like query language (q)yes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPHTTP REST
Proprietary protocol
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnonouser defined functionsR packages
Triggersyesyesnoyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesSource-replica replicationyes 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 methodsnonono infosimilar paradigm used for internal processingyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnonoACID
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.noyesnoyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryCloudflare Workers KVKdbTeradata Aster
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryCloudflare Workers KVKdbTeradata Aster
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