Redis vs. OpenSearch
Compare Redis vs. OpenSearch by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Redis vs. OpenSearch on Scalability
No. Redis primarily operates by keeping data in memory. The classic architecture of Redis does not inherently follow the storage-compute separation architecture. Instead, it tightly couples data storage and computation in the same node or instance to ensure data access performance.
No. It only scales at the server level. In addition, you need to reshard all the data when scaling out a Redis cluster.
Yes.
Yes - built-in replication; HA provided in an additional layer by Reis Cluster or Redis Sentinel)
With Redis Enteprise
Both
Redis Scalability
High Availabiltiy can be achieved with Redis Enterprise.
OpenSearch
OpenSearch supports horizontal scaling, cluster management optimizations, and efficient shard allocation, making it suitable for handling large datasets and high query loads effectively.
Redis vs. OpenSearch on Functionality
Performance is the biggest challenge with vector databases as the number of unstructured data elements stored in a vector database grows into hundreds of millions or billions, and horizontal scaling across multiple nodes becomes paramount.
Furthermore, differences in insert rate, query rate, and underlying hardware may result in different application needs, making overall system tunability a mandatory feature for vector databases.
Yes - Pre-filtering documents against an index containing searchable fields
yes, vector search & keyword search & scalar filtered search
HNSW & IVFFlat
ANN
Redis
Redis has supprt for similarity queries search with the use of vector fields; It is important to note that the k default LIMIT is 10.
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.
Redis vs. OpenSearch on Purpose-built
Add on to Redis
No. Vector search is an add-on to OpenSearch.
No
Python for Vector Search
Java, Python, JavaScript, Go, and .Net
Redis vs. OpenSearch: what’s right for me?
Redis is an in-memory data structure store used as a database, cache, message broker, and streaming engine that has a vector field type for the storage, querying and indexing of vectors.
License: BSD License
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
Overwhelmed by all the options? Learn key features to look for & how to evaluate with your own data. Choose with confidence.