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DBMS > ArangoDB vs. OrigoDB vs. Qdrant vs. Yaacomo

System Properties Comparison ArangoDB vs. OrigoDB vs. Qdrant vs. Yaacomo

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonQdrant  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A fully ACID in-memory object graph databaseA high-performance vector database with neural network or semantic-based matchingOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document store
Object oriented DBMS
Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score1.28
Rank#167  Overall
#8  Vector DBMS
Websitearangodb.comorigodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
yaacomo.com
Technical documentationdocs.arangodb.comorigodb.com/­docsqdrant.tech/­documentation
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperArangoDB Inc.Robert Friberg et alQdrantQ2WEB GmbH
Initial release20122009 infounder the name LiveDB20212009
Current release3.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen SourceOpen Source infoApache Version 2.0commercial
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.
ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++C#Rust
Server operating systemsLinux
OS X
Windows
Linux
Windows
Docker
Linux
macOS
Windows
Android
Linux
Windows
Data schemeschema-free infoautomatically recognizes schema within a collectionyesschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashUser defined using .NET types and collectionsNumbers, Strings, Geo, Booleanyes
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.no infocan be achieved using .NETnono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
.NET Client API
HTTP API
LINQ
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresJavaScriptyes
Triggersnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioning infoclient side managed; servers are not synchronizedShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSource-replica replicationCollection-level replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsdepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesRole based authorizationKey-based authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBOrigoDBQdrantYaacomo
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
ArangoDBOrigoDBQdrantYaacomo
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

ArangoGraphML: Simplifying the Power of Graph Machine Learning
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How to Build Knowledge Graph Enhanced Chatbot with ChatGPT and ArangoDB
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ArangoDB brings yet more money into graph database market with $27.8M round
6 October 2021, SiliconANGLE News

Open source graph database company ArangoDB raises $27.8M
6 October 2021, VentureBeat

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16 April 2024, blogs.oracle.com

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

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

provided by Google News



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