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DBMS > Apache Hive vs. FeatureBase

System Properties Comparison Apache Hive vs. FeatureBase

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonFeatureBase  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.09
Rank#18  Overall
#12  Relational DBMS
Score0.23
Rank#304  Overall
#136  Relational DBMS
Websitehive.apache.orgwww.featurebase.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.featurebase.com
DeveloperApache Software Foundation infoinitially developed by FacebookMolecula and Pilosa Open Source Contributors
Initial release20122017
Current release3.1.3, April 20222022, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsAll OS with a Java VMLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL queries
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
JDBC
Kafka Connector
ODBC
Supported programming languagesC++
Java
PHP
Python
Java
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduce
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, using Linux fsync
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 roles

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More resources
Apache HiveFeatureBase
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