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DBMS > Apache Hive vs. Fauna

System Properties Comparison Apache Hive vs. Fauna

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score1.45
Rank#144  Overall
#25  Document stores
#13  Graph DBMS
#65  Relational DBMS
#14  Time Series DBMS
Websitehive.apache.orgfauna.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.fauna.com
DeveloperApache Software Foundation infoinitially developed by FacebookFauna, Inc.
Initial release20122014
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsAll OS with a Java VMhosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and rolesIdentity management, authentication, and access control

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More resources
Apache HiveFauna infopreviously named FaunaDB
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