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DBMS > FeatureBase vs. Hive vs. Microsoft Azure AI Search vs. Riak KV

System Properties Comparison FeatureBase vs. Hive vs. Microsoft Azure AI Search vs. Riak KV

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.data warehouse software for querying and managing large distributed datasets, built on HadoopSearch-as-a-service for web and mobile app developmentDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSSearch engineKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.featurebase.comhive.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.featurebase.comcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­en-us/­azure/­searchwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperMolecula and Pilosa Open Source ContributorsApache Software Foundation infoinitially developed by FacebookMicrosoftOpenSource, formerly Basho Technologies
Initial release2017201220152009
Current release2022, May 20223.1.3, April 2022V13.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaErlang
Server operating systemsLinux
macOS
All OS with a Java VMhostedLinux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyesrestricted
SQL infoSupport of SQLSQL queriesSQL-like DML and DDL statementsnono
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
ODBC
Thrift
RESTful HTTP APIHTTP API
Native Erlang Interface
Supported programming languagesJava
Python
C++
Java
PHP
Python
C#
Java
JavaScript
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoErlang
Triggersnononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryes infoImplicit feature of the cloud serviceselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesyes infousing Azure authenticationyes, using Riak Security

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More resources
FeatureBaseHiveMicrosoft Azure AI SearchRiak KV
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