Milvus

Milvus

Zilliz
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About

Vector database built for scalable similarity search. Open-source, highly scalable, and blazing fast. Store, index, and manage massive embedding vectors generated by deep neural networks and other machine learning (ML) models. With Milvus vector database, you can create a large-scale similarity search service in less than a minute. Simple and intuitive SDKs are also available for a variety of different languages. Milvus is hardware efficient and provides advanced indexing algorithms, achieving a 10x performance boost in retrieval speed. Milvus vector database has been battle-tested by over a thousand enterprise users in a variety of use cases. With extensive isolation of individual system components, Milvus is highly resilient and reliable. The distributed and high-throughput nature of Milvus makes it a natural fit for serving large-scale vector data. Milvus vector database adopts a systemic approach to cloud-nativity, separating compute from storage.

About

Oracle Real Application Clusters (RAC) is a unique, scale-everything, highly available database architecture that transparently scales both reads and writes for all workloads, including OLTP, analytics, AI vectors, SaaS, JSON, batch, text, graph, IoT, and in-memory. It effortlessly scales complex applications such as SAP, Oracle Fusion Applications, and Salesforce workloads. Oracle RAC delivers the lowest latency and highest throughput for all data needs through its unique fused cache across servers, ensuring ultrafast local data access. Parallelized workloads across all CPUs guarantee maximum throughput, and the integration of Oracle’s storage design enables seamless online storage expansion. Unlike other databases that depend on public cloud infrastructures, sharding, or read replicas for scalability, Oracle RAC guarantees the lowest latency and highest throughput out of the box.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Enterprises in need of a solution to manage their vector data and create a large scale similarity search service

Audience

Database administrators requiring a solution to optimize their mission-critical applications requiring continuous uptime and performance

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Zilliz
Founded: 2020
United States
milvus.io

Company Information

Oracle
Founded: 1977
United States
www.oracle.com/database/real-application-clusters/

Alternatives

Alternatives

Embeddinghub

Embeddinghub

Featureform

Categories

Categories

Integrations

Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Apache Pulsar
Azure Blob Storage
Cognee
Database Mart
IBM watsonx.data
JSON
Kubernetes
MinIO
NoSQL
Oracle Database
Oracle Database@AWS
Oracle Fusion Cloud ERP
Oracle PeopleSoft
Prompt Security
SAP Cloud Platform
Salesforce
Zilliz Cloud

Integrations

Amazon S3
Amazon Web Services (AWS)
Apache Kafka
Apache Pulsar
Azure Blob Storage
Cognee
Database Mart
IBM watsonx.data
JSON
Kubernetes
MinIO
NoSQL
Oracle Database
Oracle Database@AWS
Oracle Fusion Cloud ERP
Oracle PeopleSoft
Prompt Security
SAP Cloud Platform
Salesforce
Zilliz Cloud
Claim Milvus and update features and information
Claim Milvus and update features and information
Claim Oracle Real Application Clusters (RAC) and update features and information
Claim Oracle Real Application Clusters (RAC) and update features and information