Comparisons
Zilliz Cloud vs OpenSearch

Zilliz Cloud vs. OpenSearch

Compare Zilliz Cloud vs. OpenSearch by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.

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Zilliz Cloud vs. OpenSearch on Scalability

Zilliz CloudOpenSearch

Separation of storage and compute

Yes.

❌

Separation of query and insertions

Yes. At the component level (which provides more fine-grained scalability)

Yes.

Multi-replication

❌

Dynamic segment placement vs. static data sharding

Dynamic segment placement

Both

Cloud-native

❌

Billion-scale vector support

❌

Zilliz Cloud

Zilliz Cloud is a managed vector database service powered by Milvus. Its cloud-native architecture dynamically scales to 10B+ vectors, maintaining high performance and cost-efficiency without the need for new clusters or data sharding.

OpenSearch

OpenSearch supports horizontal scaling, cluster management optimizations, and efficient shard allocation, making it suitable for handling large datasets and high query loads effectively.

Zilliz Cloud vs. OpenSearch on Functionality

Zilliz CloudOpenSearch

Role-based Access Control (RBAC)

❌

Disk Index support

❌

Hybrid Search (ie Scalar filtering)

Yes, Hybrid sparse and dense search, hybrid keyword and vector search, hybrid vector search and scalar filtering, multimodal search

yes, vector search & keyword search & scalar filtered search

Partitions/namespaces/logical groups

Yes.

❌

Index type supported

Cardinal (The world's first AI-based Autoindex mechanism that selects the best search strategy and index for each dataset, eliminating the need for manual tuning.), closed-source.

ANN

Multiple in-memory indexes support

❌

Zilliz Cloud

Zilliz Cloud is a managed vector database service powered by Milvus. It uses the world's first AI-based Autoindex mechanism that selects the best search strategy and index for each dataset, eliminating the need for manual tuning. It offers intelligent resource management and tiered storage capabilities to minimize expenses while maintaining superior query speeds, ensuring you never compromise performance.

OpenSearch

OpenSearch supports:

Vectors with up to 16,000 dimensions.
Vector generation through external libraries or directly within OpenSearch.
Both binary and dense vectors.
Cosine Similarity, Inner Product, and L2 Distance (Euclidean).
Integration with multiple engines, including NMSLIB, Faiss, and Lucene, to facilitate vector indexing and searching.

Zilliz Cloud vs. OpenSearch on Purpose-built

Zilliz CloudOpenSearch

Purpose-built for Vectors

❌

No. Vector search is an add-on to OpenSearch.

Tunable consistency

❌

Support for both stream and batch of vector data

❌

Binary Vector support

❌

Multi-language SDK

Python, Java, JavaScript, Go, C++, and Node.js SDKs Fully supported

Java, Python, JavaScript, Go, and .Net

Database rollback

✔️

❌

Zilliz Cloud vs. OpenSearch: what’s right for me?

Zilliz Cloud

Zilliz Cloud is a fully managed vector database powered by the open-source Milvus vector database.

SaaS

OpenSearch

OpenSearch is an open-source software suite for search, analytics, security monitoring, and observability applications. It is not purpose-built for vector storage and search workloads but introduces a vector search plugin to provide this capability. Amazon OpenSearch Service is an AWS-managed service for OpenSearch.

Apache 2.0