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DBMS > Apache IoTDB vs. Linter vs. Oracle Rdb vs. SingleStore

System Properties Comparison Apache IoTDB vs. Linter vs. Oracle Rdb vs. SingleStore

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonLinter  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSingleStore infoformer name was MemSQL  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 requirementsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.03
Rank#368  Overall
#156  Relational DBMS
Score1.04
Rank#184  Overall
#84  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websiteiotdb.apache.orglinter.ruwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.singlestore.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.singlestore.com
DeveloperApache Software Foundationrelex.ruOracle, originally developed by Digital Equipment Corporation (DEC)SingleStore Inc.
Initial release2018199019842013
Current release1.1.0, April 20237.4.1.1, 20218.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++, Go
Server operating systemsAll OS with a Java VM (>= 1.8)AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
HP Open VMSLinux info64 bit version required
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyesyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLyes
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infohash partitioning
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 replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardFine grained access control via users, groups and roles

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More resources
Apache IoTDBLinterOracle RdbSingleStore infoformer name was MemSQL
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