Pinecone vs. Vespa
Compare Pinecone vs. Vespa by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Pinecone vs. Vespa on Scalability
Yes, for the Serverless tier.
Yes, for the Serverless tier.
Yes.
Static sharding
Both
Pinecone
Pinecone supports the separation of compute and storage with their Serveless Tier.
For its POD-based clusters, Pinecone employs static sharding, which requires users to manually reshard data when scaling out the cluster.
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.
Pinecone vs. Vespa on Functionality
Yes, with limited roles (only Org Owner & members are supported)
Available with the Pinecone S1 solution only
Yes (paged tensor attributes)
Yes. Sparse & Dense Vectors and Scalar filtering.
Yes, vector search & keyword seach
Yes. Users cans organizes data into namespaces and should aware that there are a limited number of namespaces available. Please consult with Pinecone on the limitations.
Closed source Index (proprietary)
HNSW, Hybrid HNSW-IF (Inverted File), paged tensor attributes
Pinecone
RBAC is not enough for large organizations. Storage optimized (S1 ) has some performance challenges and can only get 10-50 QPS. The number of namespaces is limited and users should be careful when using metadata filtering as a way around this limitation as it will have a big impact on performance. Furthermore, data isolation is not available with this approach.
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.
Pinecone vs. Vespa on Purpose-built
Yes.
REST API, Python, Node.js
Python, Java
yes, with the collection backup & restore
Pinecone vs. Vespa: what’s right for me?
Pinecone
Pinecone is a managed, cloud-native vector database.
SaaS
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 Pinecone 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.