OpenSearch vs. KDB.AI
Compare OpenSearch vs. KDB.AI by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
OpenSearch vs. KDB.AI on Scalability
Yes.
Yes.
Both
Neither
OpenSearch
OpenSearch supports horizontal scaling, cluster management optimizations, and efficient shard allocation, making it suitable for handling large datasets and high query loads effectively.
KDB.AI
KDB.AI is a scalable vector database.
OpenSearch vs. KDB.AI on Functionality
Yes (qFlat and qHNSW)
yes, vector search & keyword search & scalar filtered search
Yes. Hybrid Sparse & Dense Search
ANN
Flat, qFlat, IVF, IVFPQ, HNSW, and qHNSW.
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.
KDB.AI
Built by KX, a database provider known for time-series data management, KDB.AI enables developers to bring temporal and semantic context and relevancy to their applications. It supports various search types, including vector similarity search, hybrid sparse and vector search, and Non-Transformed TSS, a similarity search algorithm specific for time series data. It uses Cosine Similarity, Inner Product, and L2 Distance (Euclidean) for similarity metrics.
OpenSearch vs. KDB.AI on Purpose-built
No. Vector search is an add-on to OpenSearch.
Yes.
Java, Python, JavaScript, Go, and .Net
Python
OpenSearch vs. KDB.AI: 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
KDB.AI
KDB.AI is a powerful knowledge-based vector database and search engine that allows you to build scalable, reliable AI applications using real-time data.
Proprietary license