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DBMS > OrigoDB vs. Qdrant vs. SiteWhere vs. TinkerGraph

System Properties Comparison OrigoDB vs. Qdrant vs. SiteWhere vs. TinkerGraph

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Editorial information provided by DB-Engines
NameOrigoDB  Xexclude from comparisonQdrant  Xexclude from comparisonSiteWhere  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA fully ACID in-memory object graph databaseA high-performance vector database with neural network or semantic-based matchingM2M integration platform for persisting/querying time series dataA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Object oriented DBMS
Vector DBMSTime Series DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.53
Rank#145  Overall
#7  Vector DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score0.08
Rank#345  Overall
#34  Graph DBMS
Websiteorigodb.comgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­sitewhere/­sitewheretinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationorigodb.com/­docsqdrant.tech/­documentationsitewhere1.sitewhere.io/­index.html
DeveloperRobert Friberg et alQdrantSiteWhere
Initial release2009 infounder the name LiveDB202120102009
License infoCommercial or Open SourceOpen SourceOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0Open Source infoApache 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 languageC#RustJavaJava
Server operating systemsLinux
Windows
Docker
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freepredefined schemeschema-free
Typing infopredefined data types such as float or dateUser defined using .NET types and collectionsNumbers, Strings, Geo, Booleanyesyes
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 .NETnonono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textnono
SQL infoSupport of SQLnononono
APIs and other access methods.NET Client API
HTTP API
LINQ
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP RESTTinkerPop 3
Supported programming languages.Net.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Groovy
Java
Server-side scripts infoStored proceduresyesno
Triggersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoclient side managed; servers are not synchronizedShardingSharding infobased on HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationCollection-level replicationselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate Consistencynone
Foreign keys infoReferential integritydepending on modelnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyes infoWrite ahead logyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlRole based authorizationKey-based authenticationUsers with fine-grained authorization conceptno

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More resources
OrigoDBQdrantSiteWhereTinkerGraph
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
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