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DBMS > Apache IoTDB vs. Hive vs. NuoDB vs. STSdb vs. WakandaDB

System Properties Comparison Apache IoTDB vs. Hive vs. NuoDB vs. STSdb vs. WakandaDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonHive  Xexclude from comparisonNuoDB  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  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 HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeObject oriented 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
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiteiotdb.apache.orghive.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.nuodb.comwakanda.github.io/­doc
DeveloperApache Software FoundationApache Software Foundation infoinitially developed by FacebookDassault Systèmes infooriginally NuoDB, Inc.STS Soft SCWakanda SAS
Initial release20182012201320112012
Current release1.1.0, April 20233.1.3, April 20224.0.8, September 20152.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2commercial infolimited edition freeOpen Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended commercial license available
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++C#C++, JavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
WindowsLinux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyesnono
APIs and other access methodsJDBC
Native API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
.NET Client APIRESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduceJava, SQLnoyes
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingdata is dynamically stored/cached on the nodes where it is read/writtennonenone
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 factoryes infoManaged transparently by NuoDBnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infotunable commit protocolnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.yesyes infoTemporary tableno
User concepts infoAccess controlyesAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative Usersnoyes

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Apache IoTDBHiveNuoDBSTSdbWakandaDB
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