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DBMS > Apache IoTDB vs. EJDB vs. Firebolt vs. mSQL vs. PouchDB

System Properties Comparison Apache IoTDB vs. EJDB vs. Firebolt vs. mSQL vs. PouchDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEJDB  Xexclude from comparisonFirebolt  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonPouchDB  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)Highly scalable cloud data warehouse and analytics product infoForked from ClickhousemSQL (Mini SQL) is a simple and lightweight RDBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelTime Series DBMSDocument storeRelational DBMSRelational DBMSDocument store
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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websiteiotdb.apache.orggithub.com/­Softmotions/­ejdbwww.firebolt.iohughestech.com.au/­products/­msqlpouchdb.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.firebolt.iopouchdb.com/­guides
DeveloperApache Software FoundationSoftmotionsFirebolt Analytics Inc.Hughes TechnologiesApache Software Foundation
Initial release20182012202019942012
Current release1.1.0, April 20234.4, October 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2commercialcommercial infofree licenses can be providedOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCCJavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)server-lesshostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesno
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.nonono
Secondary indexesyesnoyesyesyes infovia views
SQL infoSupport of SQLSQL-like query languagenoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
Native API
in-process shared library.Net
ODBC
RESTful HTTP API
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
JavaScript (Node.js)
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
JavaScript
Server-side scripts infoStored proceduresyesnononoView functions in JavaScript
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnonedepending on storage layernoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneEventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingno
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnonono

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More resources
Apache IoTDBEJDBFireboltmSQL infoMini SQLPouchDB
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