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DBMS > Apache IoTDB vs. Hive vs. Quasardb vs. Riak KV vs. Teradata

System Properties Comparison Apache IoTDB vs. Hive vs. Quasardb vs. Riak KV vs. Teradata

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonTeradata  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 Flinkdata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websiteiotdb.apache.orghive.apache.orgquasar.aiwww.teradata.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.teradata.com
DeveloperApache Software FoundationApache Software Foundation infoinitially developed by FacebookquasardbOpenSource, formerly Basho TechnologiesTeradata
Initial release20182012200920091984
Current release1.1.0, April 20233.1.3, April 20223.14.1, January 20243.2.0, December 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editioncommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++Erlang
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
hosted
Linux
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binarynoyes
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.nononoyes
Secondary indexesyesyesyes infowith tagsrestrictedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsSQL-like query languagenoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
Native API
JDBC
ODBC
Thrift
HTTP APIHTTP API
Native Erlang Interface
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoErlangyes infoUDFs, stored procedures, table functions in parallel
Triggersyesnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoconsistent hashingSharding infono "single point of failure"Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factorSource-replica replication with selectable replication factorselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoquery execution via MapReducewith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlyesAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Apache IoTDBHiveQuasardbRiak KVTeradata
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