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DBMS > Hive vs. Sadas Engine

System Properties Comparison Hive vs. Sadas Engine

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonSadas Engine  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score85.58
Rank#14  Overall
#9  Relational DBMS
Score0.00
Rank#352  Overall
#146  Relational DBMS
Websitehive.apache.orgwww.sadasengine.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-db
DeveloperApache Software Foundation infoinitially developed by FacebookSADAS s.r.l.
Initial release20122006
Current release3.1.2, August 20198.0
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VMAIX
Linux
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 statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Java
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
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 datano
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.yes infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
HiveSadas Engine
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