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

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

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonTigris  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitehive.apache.orgquasar.aiwww.tigrisdata.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.tigrisdata.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookquasardbOpenSource, formerly Basho TechnologiesTigris Data, Inc.
Initial release2012200920092022
Current release3.1.3, April 20223.14.1, January 20243.2.0, December 2022
License infoCommercial or Open SourceOpen 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 editionOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Erlang
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes 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.nonono
Secondary indexesyesyes infowith tagsrestrictedyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
Thrift
HTTP APIHTTP API
Native Erlang Interface
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC++
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
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoErlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication with selectable replication factorselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient mode
User concepts infoAccess controlAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailyes, using Riak SecurityAccess rights for users and roles

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HiveQuasardbRiak KVTigris
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