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DBMS > Apache IoTDB vs. MonetDB vs. YDB

System Properties Comparison Apache IoTDB vs. MonetDB vs. YDB

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMonetDB  Xexclude from comparisonYDB  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 FlinkA relational database management system that stores data in columnsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiteiotdb.apache.orgwww.monetdb.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.monetdb.org/­Documentationydb.tech/­en/­docs
DeveloperApache Software FoundationMonetDB BVYandex
Initial release201820042019
Current release1.1.0, April 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC
Server operating systemsAll OS with a Java VM (>= 1.8)FreeBSD
Linux
OS X
Solaris
Windows
Linux
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL 2003 with some extensionsSQL-like query language (YQL)
APIs and other access methodsJDBC
Native API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesyes, in SQL, C, Rno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone infoSource-replica replication available in experimental statusActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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More resources
Apache IoTDBMonetDBYDB
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