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DBMS > Apache IoTDB vs. EJDB vs. LMDB vs. mSQL vs. SpatiaLite

System Properties Comparison Apache IoTDB vs. EJDB vs. LMDB vs. mSQL vs. SpatiaLite

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEJDB  Xexclude from comparisonLMDB  Xexclude from comparisonmSQL infoMini SQL  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 FlinkEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A high performant, light-weight, embedded key-value database librarymSQL (Mini SQL) is a simple and lightweight RDBMSSpatial extension of SQLite
Primary database modelTime Series DBMSDocument storeKey-value storeRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteiotdb.apache.orggithub.com/­Softmotions/­ejdbwww.symas.com/­symas-embedded-database-lmdbhughestech.com.au/­products/­msqlwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.lmdb.tech/­docwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationSoftmotionsSymasHughes TechnologiesAlessandro Furieri
Initial release20182012201119942008
Current release1.1.0, April 20230.9.32, January 20244.4, October 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2Open Sourcecommercial infofree licenses can be providedOpen 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 languageJavaCCCC++
Server operating systemsAll OS with a Java VM (>= 1.8)server-lessLinux
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyes
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.nononono
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLSQL-like query languagenonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes
APIs and other access methodsJDBC
Native API
in-process shared libraryJDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesnononono
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonenonenonenone
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
Immediate Consistencynone
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesnoyes
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.yesyesnoyes
User concepts infoAccess controlyesnononono

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More resources
Apache IoTDBEJDBLMDBmSQL infoMini SQLSpatiaLite
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