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DBMS > 4D vs. Apache Druid vs. Apache IoTDB vs. MarkLogic

System Properties Comparison 4D vs. Apache Druid vs. Apache IoTDB vs. MarkLogic

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonApache IoTDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkOperational and transactional Enterprise NoSQL database
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score4.15
Rank#70  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Websitewww.4d.comdruid.apache.orgiotdb.apache.orgwww.progress.com/­marklogic
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.progress.com/­marklogic/­documentation
Developer4D, IncApache Software Foundation and contributorsApache Software FoundationMarkLogic Corp.
Initial release1984201220182001
Current releasev20, April 202330.0.0, June 20241.1.0, April 202311.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsOS X
Windows
Linux
OS X
Unix
All OS with a Java VM (>= 1.8)Linux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-free infoSchema can be enforced
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.yesnonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingSQL-like query languageyes infoSQL92
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
JDBC
Native API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesyes infovia XQuery or JavaScript
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoIntegration with Hadoop and Sparkyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infocan act as a resource manager in an XA/JTA transaction
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.nonoyesyes, with Range Indexes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesRole-based access control at the document and subdocument levels

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More resources
4D infoformer name: 4th DimensionApache DruidApache IoTDBMarkLogic
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Progress MarkLogic World
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