OpenSearch vs Vespa

OpenSearch vs. Vespa

Compare OpenSearch vs. Vespa 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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OpenSearch vs. Vespa on Scalability

OpenSearchVespa

Separation of storage and compute

❌

Separation of query and insertions

Yes.

Multi-replication

❌

Dynamic segment placement vs. static data sharding

Both

Cloud-native

❌

Billion-scale vector support

❌

OpenSearch

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

Vespa

Vespa is a scalable search engine with a robust distributed architecture that supports horizontal scaling by adding more nodes. It features automatic sharding and data redistribution, allowing it to efficiently manage large datasets and high query volumes.

OpenSearch vs. Vespa on Functionality

OpenSearchVespa

Role-based Access Control (RBAC)

❌

Disk Index support

❌

Yes (paged tensor attributes)

Hybrid Search (ie Scalar filtering)

yes, vector search & keyword search & scalar filtered search

Yes, vector search & keyword seach

Partitions/namespaces/logical groups

❌

Index type supported

ANN

HNSW, Hybrid HNSW-IF (Inverted File), paged tensor attributes

Multiple in-memory indexes support

❌

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.

Vespa

Vespa is a powerful search engine and vector database that can handle multiple searches simultaneously. It's great at vector search, text search, and searching through structured data.

OpenSearch vs. Vespa on Purpose-built

OpenSearchVespa

Purpose-built for Vectors

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

Yes.

Tunable consistency

❌

Support for both stream and batch of vector data

❌

Binary Vector support

❌

Multi-language SDK

Java, Python, JavaScript, Go, and .Net

Python, Java

Database rollback

❌

OpenSearch vs. Vespa: what’s right for me?

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

Vespa

Vespa is a powerful search engine and vector database that can handle multiple searches simultaneously. It's great at vector search, text search, and searching through structured data.

Apache 2.0