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DBMS > Lovefield vs. Pinecone vs. Tkrzw vs. Transwarp KunDB

System Properties Comparison Lovefield vs. Pinecone vs. Tkrzw vs. Transwarp KunDB

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonPinecone  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonTranswarp KunDB  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOLTP DBMS based on a distributed architecture and highly compatible with MySQL and Oracle
Primary database modelRelational DBMSVector DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Score0.04
Rank#362  Overall
#154  Relational DBMS
Websitegoogle.github.io/­lovefieldwww.pinecone.iodbmx.net/­tkrzwwww.transwarp.cn/­en/­product/­kundb
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overview
DeveloperGooglePinecone Systems, IncMikio HirabayashiTranswarp
Initial release201420192020
Current release2.1.12, February 20170.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesString, Number, Booleannoyes
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 SQLSQL-like query language infovia JavaScript builder patternnonoyes
APIs and other access methodsRESTful HTTP API
Supported programming languagesJavaScriptPythonC++
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyes
TriggersUsing read-only observersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnoyes infousing specific database classes
User concepts infoAccess controlnonoyes

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More resources
LovefieldPineconeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetTranswarp KunDB
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