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DBMS > Hive vs. NuoDB vs. Quasardb vs. Riak KV

System Properties Comparison Hive vs. NuoDB vs. Quasardb vs. Riak KV

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonNuoDB  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopNuoDB is a webscale distributed database that supports SQL and ACID transactionsDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.99
Rank#195  Overall
#92  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Websitehive.apache.orgwww.3ds.com/­nuodb-distributed-sql-databasequasar.ai
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.nuodb.comdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software Foundation infoinitially developed by FacebookDassault Systèmes infooriginally NuoDB, Inc.quasardbOpenSource, formerly Basho Technologies
Initial release2012201320092009
Current release3.1.3, April 20223.14.1, January 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++Erlang
Server operating systemsAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryno
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 indexesyesyesyes infowith tagsrestricted
SQL infoSupport of SQLSQL-like DML and DDL statementsyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJava, SQLnoErlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingdata is dynamically stored/cached on the nodes where it is read/writtenSharding infoconsistent hashingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoManaged transparently by NuoDBSource-replica replication with selectable replication factorselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenowith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tableyes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesStandard SQL roles/ privileges, Administrative UsersCryptographically strong user authentication and audit trailyes, using Riak Security

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HiveNuoDBQuasardbRiak KV
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