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DBMS > Qdrant vs. Tkrzw

System Properties Comparison Qdrant vs. Tkrzw

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Editorial information provided by DB-Engines
NameQdrant  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionA high-performance vector database with neural network or semantic-based matchingA 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 modelVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#126  Overall
#8  Vector DBMS
Score0.00
Rank#392  Overall
#63  Key-value stores
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
dbmx.net/­tkrzw
Technical documentationqdrant.tech/­documentation
DeveloperQdrantMikio Hirabayashi
Initial release20212020
Current release0.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++
Server operating systemsDocker
Linux
macOS
Windows
Linux
macOS
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanno
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 indexesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnono
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityno
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.yesyes infousing specific database classes
User concepts infoAccess controlKey-based authenticationno

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

Qdrant review: A highly flexible option for vector search
29 July 2024, InfoWorld

Qdrant Launches Groundbreaking Pure Vector-Based Hybrid Search, Setting Higher Standards for RAG and AI Applications
2 July 2024, Business Wire

Vector database company Qdrant wants RAG to be more cost-effective
2 July 2024, VentureBeat

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks and Files

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

provided by Google News



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