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DBMS > Apache Hive vs. Apache Impala vs. Dolt

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

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonApache Impala  Xexclude from comparisonDolt  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAnalytic DBMS for HadoopA MySQL compatible DBMS with Git-like versioning of data and schema
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.77
Rank#16  Overall
#11  Relational DBMS
Score11.68
Rank#41  Overall
#25  Relational DBMS
Score0.60
Rank#232  Overall
#106  Relational DBMS
Websitehive.apache.orgimpala.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeimpala.apache.org/­impala-docs.htmldocs.dolthub.com
DeveloperApache Software Foundation infoinitially developed by FacebookApache Software Foundation infoApache top-level project, originally developed by ClouderaDoltHub Inc
Initial release201220132018
Current release3.1.3, April 20224.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
CLI Client
HTTP REST
Supported programming languagesC++
Java
PHP
Python
All languages supporting JDBC/ODBCAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infouser defined functions and integration of map-reduceyes infocurrently in alpha release
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factorA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 KerberosOnly one user is configurable, and must be specified in the config file at startup

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More resources
Apache HiveApache ImpalaDolt
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