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DBMS > DuckDB vs. Hive vs. Ingres vs. Linter

System Properties Comparison DuckDB vs. Hive vs. Ingres vs. Linter

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonHive  Xexclude from comparisonIngres  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopWell established RDBMSRDBMS for high security requirements
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteduckdb.orghive.apache.orgwww.actian.com/­databases/­ingreslinter.ru
Technical documentationduckdb.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.actian.com/­ingres
DeveloperApache Software Foundation infoinitially developed by FacebookActian Corporationrelex.ru
Initial release201820121974 infooriginally developed at University Berkely in early 1970s1990
Current release0.10, February 20243.1.3, April 202211.2, May 2022
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2commercialcommercial
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 languageC++JavaCC and C++
Server operating systemsserver-lessAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesC
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
C++
Java
PHP
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyesyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorIngres ReplicatorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infoMVCCyes
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.yesno
User concepts infoAccess controlnoAccess 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
DuckDBHiveIngresLinter
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DuckDB: The tiny but powerful analytics database
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5 March 2024, Datanami

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12 March 2024, InfoQ.com

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
1 May 2024, Towards Data Science

MotherDuck Raises $52.5 Million Series B Funding as DuckDB Adoption Soars
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18 October 2023, AWS Blog

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10 May 2024, Database Journal

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12 March 2024, TechCrunch

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