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DBMS > Apache IoTDB vs. atoti vs. Citus vs. LeanXcale vs. LokiJS

System Properties Comparison Apache IoTDB vs. atoti vs. Citus vs. LeanXcale vs. LokiJS

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonatoti  Xexclude from comparisonCitus  Xexclude from comparisonLeanXcale  Xexclude from comparisonLokiJS  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 FlinkAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Scalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIn-memory JavaScript DBMS
Primary database modelTime Series DBMSObject oriented DBMSRelational DBMSKey-value store
Relational DBMS
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Websiteiotdb.apache.orgatoti.iowww.citusdata.comwww.leanxcale.comgithub.com/­techfort/­LokiJS
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.atoti.iodocs.citusdata.comtechfort.github.io/­LokiJS
DeveloperApache Software FoundationActiveViamLeanXcale
Initial release2018201020152014
Current release1.1.0, April 20238.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree versions availableOpen Source infoAGPL, commercial license also availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyes infovia views
SQL infoSupport of SQLSQL-like query languageMultidimensional Expressions (MDX)yes infostandard, with numerous extensionsyes infothrough Apache Derbyno
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyesPythonuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.View functions in JavaScript
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding, horizontal partitioningShardingnone
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 replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBatotiCitusLeanXcaleLokiJS
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