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DBMS > DuckDB vs. Google Cloud Spanner vs. MySQL vs. openGauss

System Properties Comparison DuckDB vs. Google Cloud Spanner vs. MySQL vs. openGauss

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMySQL  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Widely used open source RDBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score1029.49
Rank#2  Overall
#2  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Websiteduckdb.orgcloud.google.com/­spannerwww.mysql.comgitee.com/­opengauss
opengauss.org
Technical documentationduckdb.org/­docscloud.google.com/­spanner/­docsdev.mysql.com/­docdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperGoogleOracle infosince 2010, originally MySQL AB, then SunHuawei and openGauss community
Initial release2018201719952019
Current release1.0.0, June 20249.0.0, July 20243.0, March 2022
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C, C++, Java
Server operating systemsserver-lesshostedFreeBSD
Linux
OS X
Solaris
Windows
Linux
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011yes infowith proprietary extensionsANSI SQL 2011
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
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
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
Server-side scripts infoStored proceduresnonoyes infoproprietary syntaxyes
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication with 3 replicas for regional instances.Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes infonot for MyISAM storage engineyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes infotable locks or row locks depending on storage engineyes
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.yesnoyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
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