LanceDB vs. OpenSearch
Compare LanceDB vs. OpenSearch by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
LanceDB vs. OpenSearch on Scalability
Yes.
Yes.
No (static data sharding coming soon)
Both
LanceDB
LanceDB is an open-source vector database that's designed to store, manage, query and retrieve embeddings on multi-modal data. LanceDB and its underlying data format, Lance, are built to scale to really large amounts of data (hundreds of terabytes, 200M+ vectors).
OpenSearch
OpenSearch supports horizontal scaling, cluster management optimizations, and efficient shard allocation, making it suitable for handling large datasets and high query loads effectively.
LanceDB vs. OpenSearch on Functionality
Yes, vector search & keyword search
yes, vector search & keyword search & scalar filtered search
IVF-PQ, HNSW
(LanceDB adopts a disk-based indexing philosophy.)
ANN
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.
LanceDB vs. OpenSearch on Purpose-built
No. Vector search is an add-on to OpenSearch.
Python, Javascript/Typescript, and Rust
Java, Python, JavaScript, Go, and .Net
LanceDB vs. OpenSearch: what’s right for me?
LanceDB
LanceDB is an open-source vector database that's designed to store, manage, query and retrieve embeddings on multi-modal data. It also provides a SaaS solution called LanceDB Cloud that runs serverless in the cloud.
Apache 2.0
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
The Definitive Guide to Choosing a Vector Database
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