Redis vs. MongoDB Atlas
Compare Redis vs. MongoDB Atlas by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Redis vs. MongoDB Atlas 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.
Yes. Atlas introduced search nodes, providing dedicated infrastructure for Atlas search and vector search workloads.
No. It only scales at the server level. In addition, you need to reshard all the data when scaling out a Redis cluster.
Yes - built-in replication; HA provided in an additional layer by Reis Cluster or Redis Sentinel)
With Redis Enteprise
Yes. Atlas can dynamically balance the data between shards via range migrations.
Redis Scalability
High Availabiltiy can be achieved with Redis Enterprise.
Redis vs. MongoDB Atlas 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 - Pre-filtering using an MQL match experssion that compares an indexed field with boolean, number, or string.
No. MongoDB organizes data into databases and collections, but it does not have a hierarchical structure like sub-collections within collections.
HNSW & IVFFlat
HNSW
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.
MongoDB (Atlas Vector Search)
Atlas has support for vector embeddings that are less than or equal to 2048 dimensions.
Redis vs. MongoDB Atlas on Purpose-built
Add on to Redis
Add on to Atlas
No
Python for Vector Search
C#, Java, Node, Pymango
Redis vs. MongoDB Atlas: 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
MongoDB (Atlas Vector Search)
Altas is a managed cloud database based on MongoDB document database.
SaaS
