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DBMS > Firebolt vs. Tkrzw vs. Yaacomo

System Properties Comparison Firebolt vs. Tkrzw vs. Yaacomo

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Editorial information provided by DB-Engines
NameFirebolt  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseA 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
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.firebolt.iodbmx.net/­tkrzwyaacomo.com
Technical documentationdocs.firebolt.io
DeveloperFirebolt Analytics Inc.Mikio HirabayashiQ2WEB GmbH
Initial release202020202009
Current release0.9.3, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedLinux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methods.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesGo
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layernoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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.yes infousing specific database classesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
FireboltTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
Recent citations in the news

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7 September 2022, CTech

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26 January 2022, TechCrunch

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provided by Google News



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