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DBMS > 4D vs. Kinetica vs. Kyligence Enterprise vs. Warp 10

System Properties Comparison 4D vs. Kinetica vs. Kyligence Enterprise vs. Warp 10

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonKinetica  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemFully vectorized database across both GPUs and CPUsA distributed analytics engine for big data, built on top of Apache KylinTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.4d.comwww.kinetica.comkyligence.io/­kyligence-enterprisewww.warp10.io
Technical documentationdeveloper.4d.comdocs.kinetica.comwww.warp10.io/­content/­02_Getting_started
Developer4D, IncKineticaKyligence, Inc.SenX
Initial release1984201220162015
Current releasev20, April 20237.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaJava
Server operating systemsOS X
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
HTTP API
Jupyter
WebSocket
Supported programming languages4D proprietary IDE
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes infoWarpScript
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlUsers and groupsAccess rights for users and roles on table levelMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
4D infoformer name: 4th DimensionKineticaKyligence EnterpriseWarp 10
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