We performed a comparison between Chroma and Milvus based on real PeerSpot user reviews.
Find out in this report how the two Vector Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's very easy to set up and runs easily."
"The solution's most valuable feature is its documentation, which allows new users to easily learn, deploy, and use it."
"I like the accuracy and usability."
"Milvus has good accuracy and performance."
"The solution is well containerized, and since containerization is quick and easy for me, I can scale it up quickly."
"The best feature of Milvus was finding the closest chunk from a huge amount of data."
"The hybrid algorithm needs improvement."
"I think Chroma doesn't have a ready-made containerized image available."
"I've heard that when we store too much data in Milvus, it becomes slow and does not work properly."
"Milvus has higher resource consumption, which introduces complexity in implementation."
"Milvus' documentation is not very user-friendly and doesn't help me get started quickly."
"Milvus could make it simpler. Simplifying the requirements and making it more accessible. It could be more user-friendly."
Chroma is ranked 3rd in Vector Databases with 2 reviews while Milvus is ranked 7th in Vector Databases with 4 reviews. Chroma is rated 8.6, while Milvus is rated 7.6. The top reviewer of Chroma writes "Used for RAG (Retrieval-augmented generation) and provides good documentation". On the other hand, the top reviewer of Milvus writes "Provides quick and easy containerization, but documentation is not very user-friendly". Chroma is most compared with Faiss, LanceDB, Redis, Qdrant and PostgreSQL, whereas Milvus is most compared with Elastic Search, Faiss, LanceDB, OpenSearch and Redis. See our Chroma vs. Milvus report.
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