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DBMS > Qdrant vs. searchxml vs. SiriDB vs. TerarkDB

System Properties Comparison Qdrant vs. searchxml vs. SiriDB vs. TerarkDB

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Editorial information provided by DB-Engines
NameQdrant  Xexclude from comparisonsearchxml  Xexclude from comparisonSiriDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA high-performance vector database with neural network or semantic-based matchingDBMS for structured and unstructured content wrapped with an application serverOpen Source Time Series DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelVector DBMSNative XML DBMS
Search engine
Time Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitegithub.com/­qdrant/­qdrant
qdrant.tech
www.searchxml.net/­category/­productssiridb.comgithub.com/­bytedance/­terarkdb
Technical documentationqdrant.tech/­documentationwww.searchxml.net/­support/­handoutsdocs.siridb.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperQdrantinformationpartners gmbhCesbitByteDance, originally Terark
Initial release2021201520172016
Current release1.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT Licensecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++CC++
Server operating systemsDocker
Linux
macOS
Windows
WindowsLinux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, Booleanyesyes infoNumeric datano
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.noyesnono
Secondary indexesyes infoKeywords, numberic ranges, geo, full-textyesyesno
SQL infoSupport of SQLnononono
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
RESTful HTTP API
WebDAV
XQuery
XSLT
HTTP APIC++ API
Java API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infomost other programming languages supported via APIsC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Server-side scripts infoStored proceduresyes infoon the application servernono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationyes infosychronisation to multiple collectionsyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writernono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlKey-based authenticationDomain, group and role-based access control at the document level and for application servicessimple rights management via user accountsno

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More resources
QdrantsearchxmlSiriDBTerarkDB
Recent citations in the news

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

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

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

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, businesswire.com

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

provided by Google News



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