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DBMS > OpenQM vs. Qdrant vs. TerarkDB vs. Tigris

System Properties Comparison OpenQM vs. Qdrant vs. TerarkDB vs. Tigris

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonQdrant  Xexclude from comparisonTerarkDB  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSA high-performance vector database with neural network or semantic-based matchingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelMultivalue DBMSVector DBMSKey-value storeDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.02
Rank#369  Overall
#51  Document stores
#55  Key-value stores
#24  Search engines
#38  Time Series DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­bytedance/­terarkdbwww.tigrisdata.com
Technical documentationqdrant.tech/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.tigrisdata.com/­docs
DeveloperRocket Software, originally Martin PhillipsQdrantByteDance, originally TerarkTigris Data, Inc.
Initial release1993202120162022
Current release3.4-12
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0commercial inforestricted open source version availableOpen Source infoApache Version 2.0
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++
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Data schemeyes infowith some exceptionsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumbers, Strings, Geo, 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.yesnonono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textnoyes
SQL infoSupport of SQLnononono
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
C++ API
Java API
CLI Client
gRPC
RESTful HTTP API
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyesnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelKey-based authenticationnoAccess rights for users and roles

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More resources
OpenQM infoalso called QMQdrantTerarkDBTigris
Recent citations in the news

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

Qdrant Announces an Industry-First Hybrid Cloud Offering For Enterprise AI Applications
16 April 2024, Business Wire

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

Why Vector Data Services For AI Are A Moveable Feast
17 April 2024, Forbes

provided by Google News

A Chinese company is making the cloud 200x faster ยท TechNode
3 July 2017, TechNode

provided by Google News

Tigris Data Unveils Beta Launch of New Vector Search Tool
19 May 2023, Datanami

Tigris Data Launches All-in-One Developer Data Platform
27 September 2022, Datanami

FerretDB Provides Alternative to MongoDB
19 May 2023, Datanami

provided by Google News



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