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DBMS > Apache IoTDB vs. SpatiaLite

System Properties Comparison Apache IoTDB vs. SpatiaLite

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Editorial information provided by DB-Engines
NameApache IoTDB  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 FlinkSpatial extension of SQLite
Primary database modelTime Series DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#199  Overall
#16  Time Series DBMS
Score2.24
Rank#136  Overall
#3  Spatial DBMS
Websiteiotdb.apache.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationAlessandro Furieri
Initial release20182008
Current release1.1.0, April 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)server-less
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyes
APIs and other access methodsJDBC
Native API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyesno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesno

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More resources
Apache IoTDBSpatiaLite
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