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DBMS > ArcadeDB vs. OpenQM vs. Qdrant vs. TerarkDB

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

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Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonQdrant  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenQpenQM 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 MongoDB
Primary database modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Multivalue DBMSVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
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
Websitearcadedb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­bytedance/­terarkdb
Technical documentationdocs.arcadedb.comqdrant.tech/­documentationbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperArcade DataRocket Software, originally Martin PhillipsQdrantByteDance, originally Terark
Initial release2021199320212016
Current releaseSeptember 20213.4-12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustC++
Server operating systemsAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeschema-freeyes infowith some exceptionsschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumbers, 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.noyesnono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textno
SQL infoSupport of SQLSQL-like query language, no joinsnonono
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
C++ API
Java API
Supported programming languagesJava.Net
Basic
C
Java
Objective C
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C++
Java
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.yesyes
User concepts infoAccess controlAccess rights can be defined down to the item levelKey-based authenticationno

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More resources
ArcadeDBOpenQM infoalso called QMQdrantTerarkDB
Recent citations in the news

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

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

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

Qdrant Raises $28M to Advance Massive-Scale AI Applications
26 January 2024, Datanami

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

provided by Google News

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

provided by Google News



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