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DBMS > DuckDB vs. Google BigQuery vs. Immudb vs. MySQL vs. Tkrzw

System Properties Comparison DuckDB vs. Google BigQuery vs. Immudb vs. MySQL vs. Tkrzw

Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonImmudb  Xexclude from comparisonMySQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSLarge scale data warehouse service with append-only tablesAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Widely used open source RDBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS infoKey/Value like access via memcached APIKey-value store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score1061.34
Rank#2  Overall
#2  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteduckdb.orgcloud.google.com/­bigquerygithub.com/­codenotary/­immudb
immudb.io
www.mysql.comdbmx.net/­tkrzw
Technical documentationduckdb.org/­docscloud.google.com/­bigquery/­docsdocs.immudb.iodev.mysql.com/­doc
DeveloperGoogleCodenotaryOracle infosince 2010, originally MySQL AB, then SunMikio Hirabayashi
Initial release20182010202019952020
Current release1.0.0, June 20241.2.3, April 20228.4.0, April 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMIT LicensecommercialOpen Source infoApache Version 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC++GoC and C++C++
Server operating systemsserver-lesshostedBSD
Linux
macOS
Solaris
Windows
z/OS
FreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like syntaxyes infowith proprietary extensionsno
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
RESTful HTTP/JSON APIgRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
Proprietary native 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
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
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++
Java
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnoyes infoproprietary syntaxno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes infousing specific database classes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept infono user groups or rolesno

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More resources
DuckDBGoogle BigQueryImmudbMySQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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