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DBMS > DuckDB vs. Newts vs. openGemini vs. Valentina Server

System Properties Comparison DuckDB vs. Newts vs. openGemini vs. Valentina Server

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonNewts  Xexclude from comparisonopenGemini  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSTime Series DBMS based on CassandraAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityObject-relational database and reports server
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteduckdb.orgopennms.github.io/­newtswww.opengemini.org
github.com/­openGemini
www.valentina-db.net
Technical documentationduckdb.org/­docsgithub.com/­OpenNMS/­newts/­wikidocs.opengemini.org/­guidevalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperOpenNMS GroupHuawei and openGemini communityParadigma Software
Initial release2018201420221999
Current release0.10, February 20241.1, July 20235.7.5
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
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++JavaGo
Server operating systemsserver-lessLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesInteger, Float, Boolean, Stringyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP REST
Java API
HTTP RESTODBC
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
JavaC
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandrayes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesyes
User concepts infoAccess controlnonoAdministrators and common users accountsfine grained access rights according to SQL-standard

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More resources
DuckDBNewtsopenGeminiValentina Server
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DuckDB: The tiny but powerful analytics database
15 May 2024, InfoWorld

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5 March 2024, Datanami

Enabling Remote Query Execution through DuckDB Extensions
12 March 2024, InfoQ.com

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

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