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DBMS > Apache Hive vs. Tigris

System Properties Comparison Apache Hive vs. Tigris

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonTigris  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.08
Rank#18  Overall
#12  Relational DBMS
Score0.05
Rank#360  Overall
#50  Document stores
#55  Key-value stores
#23  Search engines
#38  Time Series DBMS
Websitehive.apache.orgwww.tigrisdata.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.tigrisdata.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookTigris Data, Inc.
Initial release20122022
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
CLI Client
gRPC
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
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, using FoundationDB
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
Apache HiveTigris
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