Redis vs. Vespa
Compare Redis vs. Vespa by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Redis vs. Vespa 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.
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.
Redis vs. Vespa 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 (paged tensor attributes)
Yes - Pre-filtering documents against an index containing searchable fields
Yes, vector search & keyword seach
HNSW & IVFFlat
HNSW, Hybrid HNSW-IF (Inverted File), paged tensor attributes
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.
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.
Redis vs. Vespa on Purpose-built
Add on to Redis
Yes.
No
Python for Vector Search
Python, Java
Redis vs. Vespa: 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
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
Compare Redis with others
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.