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DBMS > DuckDB vs. Kinetica

System Properties Comparison DuckDB vs. Kinetica

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSFully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.44
Rank#44  Overall
#27  Relational DBMS
Score0.50
Rank#247  Overall
#116  Relational DBMS
Websiteduckdb.orgwww.kinetica.com
Technical documentationduckdb.org/­docsdocs.kinetica.com
DeveloperKinetica
Initial release20182012
Current release1.0.0, June 20247.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++
Server operating systemsserver-lessLinux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functions
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes
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 infoGPU vRAM or System RAM
User concepts infoAccess controlnoAccess rights for users and roles on table level

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More resources
DuckDBKinetica
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Recent citations in the news

Hands-On Exploratory Data Analysis with DuckDB
10 May 2025, Packt

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | Amazon Web Services
18 March 2025, Amazon Web Services (AWS)

Abusing DuckDB-WASM To Create Doom In SQL
23 April 2025, Hackaday

Analyzing JSON Data with DuckDB and SQL
1 May 2025, KDnuggets

DuckDB project releases Local web UI, but not as open source
19 March 2025, devclass

provided by Google News

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks and Files

How GPUs Are Helping Paris’ Public Hospital System Combat the Spread of COVID-19
15 October 2020, NVIDIA Blog

GPU Database Market Size, Share & Trends Report, 2030
29 July 2024, Grand View Research

Kinetica rolls machine learning libraries into its GPU-powered database
24 January 2017, SiliconANGLE

Kinetica: Fusing Geospatial And Time-Series Data Sets And Processing Spatiotemporal Analytics
26 July 2023, Pulse 2.0

provided by Google News



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