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DBMS > Apache IoTDB vs. Atos Standard Common Repository vs. BaseX vs. Dragonfly vs. ObjectBox

System Properties Comparison Apache IoTDB vs. Atos Standard Common Repository vs. BaseX vs. Dragonfly vs. ObjectBox

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBaseX  Xexclude from comparisonDragonfly  Xexclude from comparisonObjectBox  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
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 FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelTime Series DBMSDocument store
Key-value store
Native XML DBMSKey-value storeObject oriented DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Websiteiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorybasex.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
objectbox.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.basex.orgwww.dragonflydb.io/­docsdocs.objectbox.io
DeveloperApache Software FoundationAtos Convergence CreatorsBaseX GmbHDragonflyDB team and community contributorsObjectBox Limited
Initial release20182016200720232017
Current release1.1.0, April 2023170310.7, August 20231.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSD licenseOpen Source infoBSL 1.1Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaC++C and C++
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X
Windows
LinuxAndroid
iOS
Linux
macOS
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freescheme-freeyes
Typing infopredefined data types such as float or dateyesoptionalno infoXQuery supports typesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.noyesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsJDBC
Native API
LDAPJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary protocol infoRESP - REdis Serialization ProtocolProprietary native API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresyesnoyesLuano
Triggersyesyesyes infovia eventspublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnoneSource-replica replicationonline/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsmultiple readers, single writerAtomic execution of command blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlyesLDAP bind authenticationUsers with fine-grained authorization concept on 4 levelsPassword-based authenticationyes
More information provided by the system vendor
Apache IoTDBAtos Standard Common RepositoryBaseXDragonflyObjectBox
News

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

Vector Database Release for Flutter / Dart + Python
13 June 2023

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More resources
Apache IoTDBAtos Standard Common RepositoryBaseXDragonflyObjectBox
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