Milvus vs. Oracle Real Application Clusters (RAC) Comparison


Milvus Zilliz	Oracle Real Application Clusters (RAC) Oracle	+	+
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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 Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
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 Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Supported
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	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 Supported Webinars Not Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Zilliz Founded: 2020 United States milvus.io	Company Information Oracle Founded: 1977 United States www.oracle.com/database/real-application-clusters/
Alternatives Qdrant	Alternatives Oracle TimesTen Oracle
Zilliz Cloud Zilliz	Oracle Database Oracle
Chroma	Oracle NoSQL Database Oracle
LanceDB	Oracle MySQL HeatWave Oracle
Pinecone View All	ScaleGrid View All
Categories Context Engineering Supported Database Supported Vector Databases Supported	Categories Database Supported High Availability Cluster Supported

Integrations Amazon S3 Supported Amazon Web Services (AWS) Not Supported Apache Kafka Supported Apache Pulsar Supported Azure Blob Storage Supported Cognee Supported Database Mart Supported Docker Supported IBM watsonx.data Supported JSON Not Supported Kubernetes Supported MinIO Supported Oracle Database Not Supported Oracle Database@AWS Not Supported Oracle Fusion Cloud ERP Not Supported Oracle PeopleSoft Not Supported Prompt Security Supported SAP Cloud Platform Not Supported Salesforce Not Supported Zilliz Cloud Supported Show More Integrations View All 12 Integrations	Integrations Amazon S3 Not Supported Amazon Web Services (AWS) Supported Apache Kafka Not Supported Apache Pulsar Not Supported Azure Blob Storage Not Supported Cognee Not Supported Database Mart Not Supported Docker Not Supported IBM watsonx.data Not Supported JSON Supported Kubernetes Not Supported MinIO Not Supported Oracle Database Supported Oracle Database@AWS Supported Oracle Fusion Cloud ERP Supported Oracle PeopleSoft Supported Prompt Security Not Supported SAP Cloud Platform Supported Salesforce Supported Zilliz Cloud Not Supported Show More Integrations View All 10 Integrations
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