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DBMS > Apache IoTDB vs. JaguarDB vs. MarkLogic vs. searchxml

System Properties Comparison Apache IoTDB vs. JaguarDB vs. MarkLogic vs. searchxml

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkPerformant, highly scalable DBMS for AI and IoT applicationsOperational and transactional Enterprise NoSQL databaseDBMS for structured and unstructured content wrapped with an application server
Primary database modelTime Series DBMSKey-value store
Vector DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Native XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#14  Vector DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteiotdb.apache.orgwww.jaguardb.comwww.progress.com/­marklogicwww.searchxml.net/­category/­products
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.jaguardb.com/­support.htmlwww.progress.com/­marklogic/­documentationwww.searchxml.net/­support/­handouts
DeveloperApache Software FoundationDataJaguar, Inc.MarkLogic Corp.informationpartners gmbh
Initial release2018201520012015
Current release1.1.0, April 20233.3 July 202311.0, December 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL V3.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ infothe server part. Clients available in other languagesC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X
Windows
Windows
Data schemeyesyesschema-free infoSchema can be enforcedschema-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.nonoyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL92no
APIs and other access methodsJDBC
Native API
JDBC
ODBC
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
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyesnoyes infovia XQuery or JavaScriptyes infoon the application server
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replicationyesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infocan act as a resource manager in an XA/JTA transactionmultiple readers, single writer
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.yesnoyes, with Range Indexesno
User concepts infoAccess controlyesrights management via user accountsRole-based access control at the document and subdocument levelsDomain, group and role-based access control at the document level and for application services

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More resources
Apache IoTDBJaguarDBMarkLogicsearchxml
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