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DBMS > Apache IoTDB vs. EJDB vs. Firebolt vs. IBM Db2 Event Store vs. mSQL

System Properties Comparison Apache IoTDB vs. EJDB vs. Firebolt vs. IBM Db2 Event Store vs. mSQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEJDB  Xexclude from comparisonFirebolt  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonmSQL infoMini SQL  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 ClickhouseDistributed Event Store optimized for Internet of Things use casesmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelTime Series DBMSDocument storeRelational DBMSEvent Store
Time Series DBMS
Relational 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
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websiteiotdb.apache.orggithub.com/­Softmotions/­ejdbwww.firebolt.iowww.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msql
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.firebolt.iowww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software FoundationSoftmotionsFirebolt Analytics Inc.IBMHughes Technologies
Initial release20182012202020171994
Current release1.1.0, April 20232.04.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2commercialcommercial infofree developer edition availablecommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC and C++C
Server operating systemsAll OS with a Java VM (>= 1.8)server-lesshostedLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
Native API
in-process shared library.Net
ODBC
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
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
Go
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyesnononono
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 replicasnonedepending on storage layerActive-active shard replicationnone
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
Eventual Consistencynone
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 - written data is immutableno
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardno

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More resources
Apache IoTDBEJDBFireboltIBM Db2 Event StoremSQL infoMini SQL
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