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DBMS > DuckDB vs. Tkrzw vs. Yaacomo

System Properties Comparison DuckDB vs. Tkrzw vs. Yaacomo

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.01
Rank#143  Overall
#70  Relational DBMS
Score0.00
Rank#389  Overall
#63  Key-value stores
Score0.00
Rank#389  Overall
#162  Relational DBMS
Websiteduckdb.orgdbmx.net/­tkrzwyaacomo.com
Technical documentationduckdb.org/­docs
DeveloperMikio HirabayashiQ2WEB GmbH
Initial release201820202009
Current release0.2, August 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsserver-lessLinux
macOS
Android
Linux
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsCLI Client
JDBC
JDBC
ODBC
Supported programming languagesC
C++
Go info3rd party driver
Java
Python
R
Ruby info3rd party driver
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standard

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More resources
DuckDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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