Qdrant vs. Chroma
Compare Qdrant vs. Chroma by the following set of capabilities. We want you to choose the best database for you, even if it’s not us.
Qdrant vs. Chroma on Scalability
No. Only scale at the server level.
No. Can not scale beyond single node.
Static sharding
No distributed data replacement
Qdrant scalability
With static sharding, if your data grows beyond the capacity of your server, you will need to add more machines to the cluster and re-shard all of your data. This can be a time-consuming and complex process. Additionally, imbalanced shards can introduce bottlenecks and reduce the efficiency of your system.
Chroma scalability
Without any distributed data replacement, Chroma is not able to scale beyond a single node
Qdrant vs. Chroma 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.
No. Authentication only
Yes. Sparse & Dense Vectors and Scalar filtering.
Yes with scalar filtering
1 (HNSW)
1 (HNSW)
Qdrant functionality
Qdrant uses three types of indexes to power the database. The three indexes are a Payload index, similar to an index in a conventional document-oriented database, a Full-text index for string payload, and a vector index. Their hybrid search approach is a combination of vector search with attribute filtering.
Chroma functionality
Chroma uses HNSW algorithm to support kNN search.
Qdrant vs. Chroma on Purpose-built
What’s your vector database for?
A vector database is a fully managed solution for storing, indexing, and searching across a massive dataset of unstructured data that leverages the power of embeddings from machine learning models. A vector database should have the following features:
- Scalability and tunability
- Multi-tenancy and data isolation
- A complete suite of APIs
- An intuitive user interface/administrative console
Python, Go, Rust
Python, JavaScript
Qdrant vs. Chroma: what’s right for me?
Qdrant
Open source Qdrant is maintained by the commercial company offering a cloud version of Qdrant.
License: Apache-2.0 license
Chroma
Chroma is maintained by a single commercial company offering a non-scalable single node. License: Apache-2.0 license
Compare Qdrant 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.