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DBMS > Apache IoTDB vs. BaseX vs. Dragonfly vs. InterSystems IRIS vs. SpatiaLite

System Properties Comparison Apache IoTDB vs. BaseX vs. Dragonfly vs. InterSystems IRIS vs. SpatiaLite

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBaseX  Xexclude from comparisonDragonfly  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonSpatiaLite  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 FlinkLight-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 instanceA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilitySpatial extension of SQLite
Primary database modelTime Series DBMSNative XML DBMSKey-value storeDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Spatial DBMS
Secondary database modelsRelational 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
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websiteiotdb.apache.orgbasex.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.intersystems.com/­products/­intersystems-iriswww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.basex.orgwww.dragonflydb.io/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationBaseX GmbHDragonflyDB team and community contributorsInterSystemsAlessandro Furieri
Initial release20182007202320182008
Current release1.1.0, April 202310.7, August 20231.0, March 20232023.3, June 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoBSL 1.1commercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
LinuxAIX
Linux
macOS
Ubuntu
Windows
server-less
Data schemeyesschema-freescheme-freedepending on used data modelyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.nonoyesno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenonoyesyes
APIs and other access methodsJDBC
Native API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Actionscript
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
.Net
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesLuayesno
Triggersyesyes infovia eventspublish/subscribe channels provide some trigger functionalityyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanomultiple readers, single writerAtomic execution of command blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
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.yesyesyesyes
User concepts infoAccess controlyesUsers with fine-grained authorization concept on 4 levelsPassword-based authenticationyesno
More information provided by the system vendor
Apache IoTDBBaseXDragonflyInterSystems IRISSpatiaLite
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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More resources
Apache IoTDBBaseXDragonflyInterSystems IRISSpatiaLite
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