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DBMS > Milvus

Milvus Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit Milvus zu vergleichen.

Unsere Besucher vergleichen Milvus oft mit Weaviate, Elasticsearch und PostgreSQL.

Redaktionelle Informationen bereitgestellt von DB-Engines
NameMilvus
KurzbeschreibungA DBMS designed for efficient storage of vector data and vector similarity searches
Primäres DatenbankmodellSuchmaschine
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,46
Rang#250  Overall
#17  Suchmaschinen
Websitemilvus.io
Technische Dokumentationmilvus.io/­docs/­overview.md
Erscheinungsjahr2019
Aktuelle Version2.0, Jänner 2022
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++, Go
Server BetriebssystemeLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric and String
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
Sekundärindizesnein
SQL infoSupport of SQLnein
APIs und andere ZugriffskonzepteRESTful HTTP API
Unterstützte ProgrammiersprachenC++
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresnein
Triggersnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding
MapReduce infoBietet ein API für Map/Reduce Operationennein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Fremdschlüssel inforeferenzielle Integritätnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationennein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltennein
Berechtigungskonzept infoZugriffskontrollenein
Weitere Informationen bereitgestellt vom Systemhersteller
Milvus
Specific characteristics
Milvus is an open-source and cloud-native vector database built for production-ready AI. It was created to store,
index, and manage billion, or even trillion-scale embedding vectors generated by deep neural networks and other machine learning (ML) models.

As a database specifically designed to handle queries over vectors, it is capable of indexing vectors on a trillion
scale. Unlike existing relational databases which mainly deal with structured data following a pre-defined
pattern, Milvus is designed from the bottom-up to handle embedding vectors converted from unstructured data
like emails, papers, IoT sensor data, Facebook photos, protein structures, and much more.

 

Competitive advantages
  • Highly available, versatile, and robust with millisecond latency.
  • Supports batch and stream data processing in real time.
  • Supports flexible scaling of each component by using Kubernetes to manage its execution engine and separating read, write and other services with microservices.
  • Supports Time Travel with distributed logging.
  • Supports heterogenous computing, which includes support for different types of hardware (CPU, GPU, FPGA, MLU) and instruction sets.
  • Supported by Rich APIs (Python, Node.js, Go, etc.) and tools (Milvus CLI, Attu, etc.) to facilitate DevOps.
  • Supports high performance ANN algorithms like FAISS,HNSW,ANNOY, etc.
Typical application scenarios
  • Video media: video understanding, video deduplication.
  • E-commerce and mobile applications: image understanding, reverse image search.
  • Finance/Telecommunications/Retail: AI-aided customer support, QA chatbots.
  • Internet: personalized recommender systems, personalized search.
  • Autonomous vehicles: automated data labeling and annotation, object detection.
  • Biopharmaceutical: virtual compound screening, compound retrosynthetic analysis, protein property prediction, and DNA testing.
  • Cybersecurity: malware detection and cyberattack alert.
  • Quantitative trading: data analysis and prediction.
  • Metaverse: environmental perception and interaction in virtual world.

See more in Milvus Bootcamp.

Key customers
Milvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee, Shutterstock, SmartNews,
Tencent, Tokopedia, TrendMicro, Walmart, and much more.

See Milvus Adopters for more Milvus users.
Market metrics
As of March 2022,
  • 9.8k+ GitHub stars
  • 1.4k+ Github forks
  • 871k+ docker pulls
  • 2k+ community members on Slack alone (represents only a portion of the community)​
Licensing and pricing models
Milvus was released under the open-source Apache License 2.0 in October 2019.

Managed Cloud Service (coming soon).

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Milvus
Erwähnungen in aktuellen Nachrichten

Zilliz Pioneers Vector Database R&D, Shares New Findings at VLDB 2022
12. September 2022, Business Wire

Frank Liu, Director of Operations at Zilliz - Interview Series
9. September 2022, Unite.AI

Zilliz raises $60M for open source Milvus vector database
24. August 2022, TechTarget

Zilliz Announces Key Contributions to Milvus 2.1, the Leading Open-Source Vector Database for Structured and Unstructured Data
3. August 2022, Business Wire

Pinecone Announces New Features to Lower the Barrier of Entry for Vector Search
17. August 2022, insideBIGDATA

bereitgestellt von Google News

Jobangebote

Developer Advocate
Zilliz, San Francisco, CA

Developer Community Manager
Zilliz, San Francisco, CA

Director of Developer Relations
Hire io, Remote

Head of Marketing
Zilliz, San Francisco, CA

Software Engineer, High Performance Computing
Zilliz, San Francisco, CA

jobs by Indeed



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