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DBMS > 4D vs. Apache IoTDB vs. LevelDB vs. searchxml vs. TimesTen

System Properties Comparison 4D vs. Apache IoTDB vs. LevelDB vs. searchxml vs. TimesTen

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache IoTDB  Xexclude from comparisonLevelDB  Xexclude from comparisonsearchxml  Xexclude from comparisonTimesTen  Xexclude from comparison
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 fast key-value storage library that provides an ordered mapping from string keys to string valuesDBMS for structured and unstructured content wrapped with an application serverIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSTime Series DBMSKey-value storeNative XML DBMS
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.80
Rank#111  Overall
#55  Relational DBMS
Score1.19
Rank#183  Overall
#15  Time Series DBMS
Score3.32
Rank#100  Overall
#16  Key-value stores
Score0.00
Rank#397  Overall
#7  Native XML DBMS
#25  Search engines
Score1.59
Rank#157  Overall
#72  Relational DBMS
Websitewww.4d.comiotdb.apache.orggithub.com/­google/­leveldbwww.searchxml.net/­category/­productswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdeveloper.4d.comiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.searchxml.net/­support/­handoutsdocs.oracle.com/­database/­timesten-18.1
Developer4D, IncApache Software FoundationGoogleinformationpartners gmbhOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19842018201120151998
Current releasev20, April 20231.1.0, April 20231.23, February 20211.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSDcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsOS X
Windows
All OS with a Java VM (>= 1.8)Illumos
Linux
OS X
Windows
WindowsAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesnonoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languagenonoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
Native API
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Go
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++ infomost other programming languages supported via APIsC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesnoyes infoon the application serverPL/SQL
Triggersyesyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenone
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 replicasnoneyes infosychronisation to multiple collectionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlUsers and groupsyesnoDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard

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4D infoformer name: 4th DimensionApache IoTDBLevelDBsearchxmlTimesTen
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