Milvus vs. ZeusDB Comparison


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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 ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration.
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 Data teams, machine-learning engineers and analytics-driven businesses in search of a solution providing vector search, hybrid analytics and real-time insights across structured and unstructured data
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API 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 Not 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 Not Supported Live Online Supported In Person Not Supported
Company Information Zilliz Founded: 2020 United States milvus.io	Company Information ZeusDB Founded: 2012 United States www.zeusdb.com
Alternatives Qdrant	Alternatives Qdrant
Zilliz Cloud Zilliz	Actian VectorAI DB Actian
Chroma	Weaviate
LanceDB	Amazon S3 Vectors Amazon
Pinecone View All	Pinecone View All
Categories Context Engineering Supported Database Supported Vector Databases Supported	Categories Relational Database Supported Vector Databases Supported

Integrations Amazon S3 Supported Apache Kafka Supported Apache Pulsar Supported Azure Blob Storage Supported Cognee Supported Database Mart Supported Docker Supported IBM watsonx.data Supported Kubernetes Supported LangChain Not Supported MinIO Supported Prompt Security Supported Python Not Supported Rust Not Supported Zilliz Cloud Supported Show More Integrations View All 12 Integrations	Integrations Amazon S3 Not 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 Kubernetes Not Supported LangChain Supported MinIO Not Supported Prompt Security Not Supported Python Supported Rust Supported Zilliz Cloud Not Supported Show More Integrations View All 3 Integrations
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