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DBMS > Apache IoTDB vs. Linter vs. Realm vs. Sadas Engine vs. Tibero

System Properties Comparison Apache IoTDB vs. Linter vs. Realm vs. Sadas Engine vs. Tibero

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonLinter  Xexclude from comparisonRealm  Xexclude from comparisonSadas Engine  Xexclude from comparisonTibero  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 FlinkRDBMS for high security requirementsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA secure RDBMS, designed for easy portability from Oracle
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
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websiteiotdb.apache.orglinter.rurealm.iowww.sadasengine.comus.tmaxsoft.com/­products/­tibero
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlrealm.io/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundationrelex.ruRealm, acquired by MongoDB in May 2019SADAS s.r.l.TmaxSoft
Initial release20181990201420062003
Current release1.1.0, April 20238.06, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Sourcecommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++C and Assembler
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
AIX
Linux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesnoyesyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLno inforuns within the applications so server-side scripts are unnecessarynoPersistent Stored Procedure (PSM)
Triggersyesyesyes infoChange Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonenonehorizontal partitioninghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationnonenoneMulti-source replication
Source-replica replication
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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoIn-Memory realmyes infomanaged by 'Learn by Usage'no infoplanned for next version
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
Apache IoTDBLinterRealmSadas EngineTibero
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