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DBMS > Apache IoTDB vs. Brytlyt vs. GeoSpock vs. InterSystems IRIS vs. MonetDB

System Properties Comparison Apache IoTDB vs. Brytlyt vs. GeoSpock vs. InterSystems IRIS vs. MonetDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonGeoSpock  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonMonetDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 FlinkScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLSpatial and temporal data processing engine for extreme data scaleA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA relational database management system that stores data in columns
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score2.98
Rank#91  Overall
#17  Document stores
#14  Key-value stores
#1  Object oriented DBMS
#49  Relational DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websiteiotdb.apache.orgbrytlyt.iogeospock.comwww.intersystems.com/­products/­intersystems-iriswww.monetdb.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.brytlyt.iodocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clswww.monetdb.org/­Documentation
DeveloperApache Software FoundationBrytlytGeoSpockInterSystemsMonetDB BV
Initial release2018201620182004
Current release1.1.0, April 20235.0, August 20232.0, September 20192023.3, June 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAJava, JavascriptC
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Windows
hostedAIX
Linux
macOS
Ubuntu
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyesdepending on used data modelyes
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesyesyestemporal, categoricalyesyes
SQL infoSupport of SQLSQL-like query languageyesANSI SQL for query only (using Presto)yesyes infoSQL 2003 with some extensions
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBC
ODBC
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C++
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLnoyesyes, in SQL, C, R
Triggersyesyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Automatic shardingShardingSharding via remote tables
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 replicationnone infoSource-replica replication available in experimental status
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 Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users can be defined per tableyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBBrytlytGeoSpockInterSystems IRISMonetDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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Apache IoTDBBrytlytGeoSpockInterSystems IRISMonetDB
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