
Pinecone
Qdrant
Weaviate
Zilliz Cloud
ElasticSearch
Vespa.ai
Apache Solr
Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

GetFeedback
Decode customer feedback and build what matters

Which is more popular?
Based on our record, Milvus seems to be more popular. It has been mentioned 40 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | feeedback.dev |
| Pricing | — | |
| Company | 2019 | Startup from France · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.


Milvus is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus can store, index, and manage a billion+ embedding vectors...
Decode customer Feeedback and build what matters ! Understanding your customers is the key to growth, but collecting and analyzing feedback can be overwhelming. Feeedback is your AI-powered solution to gather real-time user reviews, track churn, and uncover actionable insights to shape the future...
What each product offers, as listed by its team.


Possible disadvantages
No features have been listed yet.
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Milvus is ideal for data scientists, AI researchers, and engineers who require efficient and scalable vector search solutions. It is also recommended for companies and projects dealing with recommendation systems, image and video search, natural language processing, and more.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
End to End Tutorial on Milvus Lite
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Milvus and Feeedback.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


More engines. The engine abstraction is clean, adding a new one means implementing four methods (initialize, upsert, search, count). Weaviate, Chroma, and Milvus are very interesting candidates. I should evaluate if they fit the... - Source: dev.to / 5 months ago
Weaviate and Milvus: Additional open-source options. - Source: dev.to / about 1 year ago
If you like this tutorial, show your support by giving our Milvus GitHub repo a star ⭐—it means the world to us and inspires us to keep creating! 💖. - Source: dev.to / over 1 year ago
Tracking Feeedback.dev since Feb 2025.
When comparing Milvus and Feeedback.dev, you can also consider the following products.

Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
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Online survey software that allows anyone to create engaging surveys that display perfectly on smartphones, tablets, and browsers. View your results in real-time. Who said online surveys can’t be fun?
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Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
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From the creators of Milvus, the vector database trailblazer
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Elasticsearch is an open source, distributed, RESTful search engine.
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