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DBMS > OpenMLDB vs. Quasardb vs. STSdb vs. Tkrzw

System Properties Comparison OpenMLDB vs. Quasardb vs. STSdb vs. Tkrzw

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Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSTSdb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, high-performance timeseries databaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA 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 modelTime Series DBMSTime Series DBMSKey-value storeKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteopenmldb.aiquasar.aigithub.com/­STSSoft/­STSdb4dbmx.net/­tkrzw
Technical documentationopenmldb.ai/­docs/­zh/­maindoc.quasar.ai/­master
Developer4 Paradigm Inc.quasardbSTS Soft SCMikio Hirabayashi
Initial release2020200920112020
Current release2024-2 February 20243.14.1, January 20244.0.8, September 20150.9.3, August 2020
License infoCommercial or Open SourceOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPLv2, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, ScalaC++C#C++
Server operating systemsLinuxBSD
Linux
OS X
Windows
WindowsLinux
macOS
Data schemeFixed schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infoprimitive types and user defined types (classes)no
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 infowith tagsno
SQL infoSupport of SQLyesSQL-like query languagenono
APIs and other access methodsJDBC
SQLAlchemy
HTTP API.NET Client API
Supported programming languagesC++
Go
Java
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoconsistent hashingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailnono

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More resources
OpenMLDBQuasardbSTSdbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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