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DBMS > 4D vs. Apache IoTDB vs. EJDB vs. Hypertable vs. Kinetica

System Properties Comparison 4D vs. Apache IoTDB vs. EJDB vs. Hypertable vs. Kinetica

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache IoTDB  Xexclude from comparisonEJDB  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSTime Series DBMSDocument storeWide column storeRelational 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
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websitewww.4d.comiotdb.apache.orggithub.com/­Softmotions/­ejdbwww.kinetica.com
Technical documentationdeveloper.4d.comiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.kinetica.com
Developer4D, IncApache Software FoundationSoftmotionsHypertable Inc.Kinetica
Initial release19842018201220092012
Current releasev20, April 20231.1.0, April 20230.9.8.11, March 20167.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoGPLv2Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++C, C++
Server operating systemsOS X
Windows
All OS with a Java VM (>= 1.8)server-lessLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idnoyes
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.yesnono
Secondary indexesyesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languagenonoSQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native API
in-process shared libraryC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesnonouser defined functions
Triggersyesyesnonoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono infotypically not needed, however similar functionality with collection joins possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
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.noyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers and groupsyesnonoAccess rights for users and roles on table level

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More resources
4D infoformer name: 4th DimensionApache IoTDBEJDBHypertableKinetica
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