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DBMS > Apache Hive vs. DuckDB vs. HyperSQL

System Properties Comparison Apache Hive vs. DuckDB vs. HyperSQL

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonDuckDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn embeddable, in-process, column-oriented SQL OLAP RDBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score6.35
Rank#54  Overall
#32  Relational DBMS
Score2.92
Rank#85  Overall
#46  Relational DBMS
Websitehive.apache.orgduckdb.orghsqldb.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeduckdb.org/­docshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software Foundation infoinitially developed by Facebook
Initial release201220182001
Current release3.1.3, April 20221.0.0, June 20242.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT LicenseOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMserver-lessAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
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 statementsyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoJava, SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
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.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
Apache HiveDuckDBHyperSQL infoalso known as HSQLDB
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