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DBMS > Hive vs. Riak KV vs. STSdb vs. Vitess

System Properties Comparison Hive vs. Riak KV vs. STSdb vs. Vitess

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparisonVitess  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitehive.apache.orggithub.com/­STSSoft/­STSdb4vitess.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.tiot.jp/­riak-docs/­riak/­kv/­latestvitess.io/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookOpenSource, formerly Basho TechnologiesSTS Soft SCThe Linux Foundation, PlanetScale
Initial release2012200920112013
Current release3.1.3, April 20223.2.0, December 20224.0.8, September 201515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC#Go
Server operating systemsAll OS with a Java VMLinux
OS X
WindowsDocker
Linux
macOS
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes 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.no
Secondary indexesyesrestrictednoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
Native Erlang Interface
.NET Client APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC++
Java
PHP
Python
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#
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceErlangnoyes infoproprietary syntax
Triggersnoyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infolinks between data sets can be storednoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesyes, using Riak SecuritynoUsers with fine-grained authorization concept infono user groups or roles

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HiveRiak KVSTSdbVitess
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