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DBMS > Apache IoTDB vs. LokiJS vs. MarkLogic vs. PlanetScale

System Properties Comparison Apache IoTDB vs. LokiJS vs. MarkLogic vs. PlanetScale

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonPlanetScale  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 FlinkIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelTime Series DBMSDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series 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
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websiteiotdb.apache.orggithub.com/­techfort/­LokiJSwww.marklogic.complanetscale.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmltechfort.github.io/­LokiJSdocs.marklogic.complanetscale.com/­docs
DeveloperApache Software FoundationMarkLogic Corp.PlanetScale
Initial release2018201420012020
Current release1.1.0, April 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++Go
Server operating systemsAll OS with a Java VM (>= 1.8)server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyes
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infoSQL92yes infowith proprietary extensions
APIs and other access methodsJDBC
Native API
JavaScript 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
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesView functions in JavaScriptyes infovia XQuery or JavaScriptyes infoproprietary syntax
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesyes 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
noneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesyes
User concepts infoAccess controlyesnoRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept infono user groups or roles

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More resources
Apache IoTDBLokiJSMarkLogicPlanetScale
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