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DBMS > Apache Hive vs. Apache Impala vs. STSdb

System Properties Comparison Apache Hive vs. Apache Impala vs. STSdb

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonApache Impala  Xexclude from comparisonSTSdb  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytic DBMS for HadoopKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.07
Rank#18  Overall
#12  Relational DBMS
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitehive.apache.orgimpala.apache.orggithub.com/­STSSoft/­STSdb4
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeimpala.apache.org/­impala-docs.html
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software Foundation infoApache top-level project, originally developed by ClouderaSTS Soft SC
Initial release201220132011
Current release3.1.3, April 20224.1.0, June 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#
Server operating systemsAll OS with a Java VMLinuxWindows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
.NET Client API
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBCC#
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduceno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno

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More resources
Apache HiveApache ImpalaSTSdb
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