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DBMS > 4D vs. Cloudflare Workers KV vs. Splice Machine vs. Teradata Aster vs. Trafodion

System Properties Comparison 4D vs. Cloudflare Workers KV vs. Splice Machine vs. Teradata Aster vs. Trafodion

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonSplice Machine  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTrafodion  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPlatform for big data analytics on multistructured data sources and typesTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSRelational 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
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.4d.comwww.cloudflare.com/­developer-platform/­workers-kvsplicemachine.comtrafodion.apache.org
Technical documentationdeveloper.4d.comdevelopers.cloudflare.com/­kv/­apisplicemachine.com/­how-it-workstrafodion.apache.org/­documentation.html
Developer4D, IncCloudflareSplice MachineTeradataApache Software Foundation, originally developed by HP
Initial release19842018201420052014
Current releasev20, April 20233.1, March 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL 3.0, commercial license availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java
Server operating systemsOS X
Windows
hostedLinux
OS X
Solaris
Windows
LinuxLinux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.yesnoyes infoin Aster File Storeno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92noyesyesyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP REST
Proprietary protocol
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
Python
R
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyesnoyes infoJavaR packagesJava Stored Procedures
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes infoSQL Map-Reduce Frameworkyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.nonoyesnono
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionCloudflare Workers KVSplice MachineTeradata AsterTrafodion
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