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DBMS > 4D vs. Adabas vs. HugeGraph vs. Kinetica vs. Splice Machine

System Properties Comparison 4D vs. Adabas vs. HugeGraph vs. Kinetica vs. Splice Machine

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAdabas infodenotes "adaptable data base"  Xexclude from comparisonHugeGraph  Xexclude from comparisonKinetica  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA fast-speed and highly-scalable Graph DBMSFully vectorized database across both GPUs and CPUsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSMultivalue DBMSGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.4d.comwww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­hugegraph
hugegraph.apache.org
www.kinetica.comsplicemachine.com
Technical documentationdeveloper.4d.comhugegraph.apache.org/­docsdocs.kinetica.comsplicemachine.com/­how-it-works
Developer4D, IncSoftware AGBaiduKineticaSplice Machine
Initial release19841971201820122014
Current releasev20, April 20230.97.1, August 20213.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java
Server operating systemsOS X
Windows
BS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
macOS
Unix
LinuxLinux
OS X
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesnonono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyes infoclose to SQL 92yes infowith add-on product Adabas SQL GatewaynoSQL-like DML and DDL statementsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languages4D proprietary IDE
PHP
NaturalGroovy
Java
Python
C++
Java
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesin Naturalasynchronous Gremlin script jobsuser defined functionsyes infoJava
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistayes infodepending on used storage backend, e.g. Cassandra and HBaseShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, with add-on product Event Replicatoryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparknoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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.nonoyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlUsers and groupsonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Users, roles and permissionsAccess rights for users and roles on table levelAccess rights for users, groups and roles according to SQL-standard

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More resources
4D infoformer name: 4th DimensionAdabas infodenotes "adaptable data base"HugeGraphKineticaSplice Machine
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