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DBMS > Apache Hive vs. atoti vs. DuckDB

System Properties Comparison Apache Hive vs. atoti vs. DuckDB

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonatoti  Xexclude from comparisonDuckDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An embeddable, in-process, column-oriented SQL OLAP RDBMS
Primary database modelRelational DBMSObject oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score0.46
Rank#248  Overall
#11  Object oriented DBMS
Score6.35
Rank#54  Overall
#32  Relational DBMS
Websitehive.apache.orgatoti.ioduckdb.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.atoti.ioduckdb.org/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookActiveViam
Initial release20122018
Current release3.1.3, April 20221.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree versions availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMserver-less
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 statementsMultidimensional Expressions (MDX)yes
APIs and other access methodsJDBC
ODBC
Thrift
Arrow Database Connectivity (ADBC)
CLI Client
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducePythonno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningnone
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 MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesno

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More resources
Apache HiveatotiDuckDB
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