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DBMS > Hive vs. Linter vs. SQream DB vs. Trafodion

System Properties Comparison Hive vs. Linter vs. SQream DB vs. Trafodion

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLinter  Xexclude from comparisonSQream DB  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopRDBMS for high security requirementsa GPU-based, columnar RDBMS for big data analytics workloadsTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitehive.apache.orglinter.rusqream.comtrafodion.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.sqream.comtrafodion.apache.org/­documentation.html
DeveloperApache Software Foundation infoinitially developed by Facebookrelex.ruSQream TechnologiesApache Software Foundation, originally developed by HP
Initial release2012199020172014
Current release3.1.3, April 20222022.1.6, December 20222.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++, CUDA, Haskell, Java, ScalaC++, Java
Server operating systemsAll OS with a Java VMAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
LinuxLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyes
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyesyes
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
.Net
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoproprietary syntax with the possibility to convert from PL/SQLuser defined functions in PythonJava Stored Procedures
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HiveLinterSQream DBTrafodion
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