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DBMS > Apache IoTDB vs. CockroachDB vs. EJDB vs. Linter vs. mSQL

System Properties Comparison Apache IoTDB vs. CockroachDB vs. EJDB vs. Linter vs. mSQL

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisonEJDB  Xexclude from comparisonLinter  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 FlinkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Embeddable document-store database library with JSON representation of queries (in MongoDB style)RDBMS for high security requirementsmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelTime Series DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websiteiotdb.apache.orgwww.cockroachlabs.comgithub.com/­Softmotions/­ejdblinter.ruhughestech.com.au/­products/­msql
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperApache Software FoundationCockroach LabsSoftmotionsrelex.ruHughes Technologies
Initial release20182015201219901994
Current release1.1.0, April 202323.1.1, May 20234.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availableOpen Source infoGPLv2commercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC and C++C
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
server-lessAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesdynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
Native API
JDBCin-process shared libraryADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesnonoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication using RAFTnoneSource-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
Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesno infotypically not needed, however similar functionality with collection joins possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesno
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.yesnono
User concepts infoAccess controlyesRole-based access controlnofine grained access rights according to SQL-standardno

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More resources
Apache IoTDBCockroachDBEJDBLintermSQL infoMini SQL
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