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DBMS > Apache IoTDB vs. Derby vs. GeoMesa vs. LokiJS vs. MarkLogic

System Properties Comparison Apache IoTDB vs. Derby vs. GeoMesa vs. LokiJS vs. MarkLogic

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  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 FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.In-memory JavaScript DBMSOperational and transactional Enterprise NoSQL database
Primary database modelTime Series DBMSRelational DBMSSpatial DBMSDocument storeDocument 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
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websiteiotdb.apache.orgdb.apache.org/­derbywww.geomesa.orggithub.com/­techfort/­LokiJSwww.marklogic.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldb.apache.org/­derby/­manuals/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmltechfort.github.io/­LokiJSdocs.marklogic.com
DeveloperApache Software FoundationApache Software FoundationCCRi and othersMarkLogic Corp.
Initial release20181997201420142001
Current release1.1.0, April 202310.17.1.0, November 20235.0.0, May 202411.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache License 2.0Open Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaJavaScriptC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyesnonoyes
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like query languageyesnonoyes infoSQL92
APIs and other access methodsJDBC
Native API
JDBCJavaScript APIJava 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 languagesC
C#
C++
Go
Java
Python
Scala
JavaJavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesJava Stored ProceduresnoView functions in JavaScriptyes infovia XQuery or JavaScript
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonedepending on storage layernoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationdepending on storage layernoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistencydepending on storage layernoneImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesdepending on storage layeryesyes, with Range Indexes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storagenoRole-based access control at the document and subdocument levels

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More resources
Apache IoTDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGeoMesaLokiJSMarkLogic
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