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DBMS > Apache IoTDB vs. JanusGraph vs. Kinetica vs. TDengine vs. YTsaurus

System Properties Comparison Apache IoTDB vs. JanusGraph vs. Kinetica vs. TDengine vs. YTsaurus

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonKinetica  Xexclude from comparisonTDengine  Xexclude from comparisonYTsaurus  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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Fully vectorized database across both GPUs and CPUsTime Series DBMS and big data platformYTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSGraph DBMSRelational DBMSTime Series DBMSDocument store
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteiotdb.apache.orgjanusgraph.orgwww.kinetica.comgithub.com/­taosdata/­TDengine
tdengine.com
ytsaurus.tech
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.janusgraph.orgdocs.kinetica.comdocs.tdengine.comytsaurus.tech/­docs/­en
DeveloperApache Software FoundationLinux Foundation; originally developed as Titan by AureliusKineticaTDEngine, previously Taos DataYandex
Initial release20182017201220192023
Current release1.1.0, April 20230.6.3, February 20237.1, August 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoAGPL V3, also commercial editions availableOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, C++CC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
OS X
Unix
Windows
LinuxLinux
Windows
Ubuntu
Data schemeyesyesyesyes
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.nonononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsStandard SQL with extensions for time-series applicationsYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
Native API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Clojure
Java
Python
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyesuser defined functionsno
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infovia Faunus, a graph analytics enginenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlyesUser authentification and security via Rexster Graph ServerAccess rights for users and roles on table levelyesAccess Control Lists
More information provided by the system vendor
Apache IoTDBJanusGraph infosuccessor of TitanKineticaTDengineYTsaurus
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Apache IoTDBJanusGraph infosuccessor of TitanKineticaTDengineYTsaurus
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