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DBMS > Google Cloud Bigtable vs. InterSystems IRIS vs. Milvus vs. TypeDB

Vergleich der Systemeigenschaften Google Cloud Bigtable vs. InterSystems IRIS vs. Milvus vs. TypeDB

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameGoogle Cloud Bigtable  Xaus Vergleich ausschliessenInterSystems IRIS  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessen
KurzbeschreibungGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA DBMS designed for efficient storage of vector data and vector similarity searchesTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.
Primäres DatenbankmodellKey-Value Store
Wide Column Store
Document Store
Key-Value Store
Object oriented DBMS
Relational DBMS
Vektor DBMSGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte2,97
Rang#92  Overall
#15  Key-Value Stores
#8  Wide Column Stores
Punkte2,98
Rang#91  Overall
#17  Document Stores
#14  Key-Value Stores
#1  Object oriented DBMS
#49  Relational DBMS
Punkte3,01
Rang#89  Overall
#4  Vektor DBMS
Punkte0,65
Rang#230  Overall
#20  Graph DBMS
#9  Object oriented DBMS
#107  Relational DBMS
Websitecloud.google.com/­bigtablewww.intersystems.com/­products/­intersystems-irismilvus.iotypedb.com
Technische Dokumentationcloud.google.com/­bigtable/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsmilvus.io/­docs/­overview.mdtypedb.com/­docs
EntwicklerGoogleInterSystemsVaticle
Erscheinungsjahr2015201820192016
Aktuelle Version2023.3, Juni 20232.4.4, Mai 20242.28.3, Juni 2024
Lizenz infoCommercial or Open SourcekommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheC++, GoJava
Server BetriebssystemegehostetAIX
Linux
macOS
Ubuntu
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
OS X
Windows
Datenschemaschemafreidepending on used data modelja
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinjaVector, Numeric and Stringja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjaneinnein
Sekundärindizesneinjaneinja
SQL infoSupport of SQLneinjaneinnein
APIs und andere ZugriffskonzeptegRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIgRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
Unterstützte ProgrammiersprachenC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript (Node.js)
Python
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
Server-seitige Scripts infoStored Proceduresneinjaneinnein
Triggersneinjaneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingShardingno
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenInternal replication in Colossus, and regional replication between two clusters in different zonesSource-Replica ReplikationSynchronous replication via raft
MapReduce infoBietet ein API für Map/Reduce Operationenjaneinneinno
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinnein infosubstituted by the relationship feature
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic single-row operationsACIDneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjajanein
Berechtigungskonzept infoZugriffskontrolleAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesRole based access control and fine grained access rightsyes infoat REST API level; other APIs in progress
Weitere Informationen bereitgestellt vom Systemhersteller
Google Cloud BigtableInterSystems IRISMilvusTypeDB infoformerly named Grakn
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» mehr
Milvus is an open-source and cloud-native vector database built for production-ready...
» mehr
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» mehr
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
TypeDB provides a new level of expressivity, extensibility, interoperability, and...
» mehr
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr

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Weitere Ressourcen
Google Cloud BigtableInterSystems IRISMilvusTypeDB infoformerly named Grakn
DB-Engines Blog Posts

Vector databases
2. Juni 2023, Matthias Gelbmann

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