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DBMS > 4D vs. FatDB vs. Oracle NoSQL vs. Splice Machine

System Properties Comparison 4D vs. FatDB vs. Oracle NoSQL vs. Splice Machine

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonFatDB  Xexclude from comparisonOracle NoSQL  Xexclude from comparisonSplice Machine  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionApplication development environment with integrated database management systemA .NET NoSQL DBMS that can integrate with and extend SQL Server.A multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Key-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score3.05
Rank#97  Overall
#17  Document stores
#16  Key-value stores
#50  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.4d.comwww.oracle.com/­database/­nosql/­technologies/­nosqlsplicemachine.com
Technical documentationdeveloper.4d.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmlsplicemachine.com/­how-it-works
Developer4D, IncFatCloudOracleSplice Machine
Initial release1984201220112014
Current releasev20, April 202324.1, May 20243.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaJava
Server operating systemsOS X
Windows
WindowsLinux
Solaris SPARC/x86
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92no infoVia inetgration in SQL ServerSQL-like DML and DDL statementsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
C#C
C#
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infovia applicationsnoyes infoJava
Triggersyesyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integrationYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infodepending on configuration
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable infoACID within a storage node (=shard)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infooff heap cacheyes
User concepts infoAccess controlUsers and groupsno infoCan implement custom security layer via applicationsAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionFatDBOracle NoSQLSplice Machine
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