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  1. Stackups
  2. Application & Data
  3. Databases
  4. Vector Databases
  5. Milvus vs Qdrant

Milvus vs Qdrant

OverviewComparisonAlternatives

Overview

Milvus
Milvus
Stacks62
Followers49
Votes2
GitHub Stars38.3K
Forks3.5K
Qdrant
Qdrant
Stacks52
Followers20
Votes0
GitHub Stars26.9K
Forks1.9K

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Detailed Comparison

Milvus
Milvus
Qdrant
Qdrant

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

It is an open-source Vector Search Engine and Vector Database written in Rust. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more.

Heterogeneous computing; Multiple indexes; Intelligent resource management; Horizontal scalability; High availability
Easy to use API; Fast and accurate; Advanced filtering; Rich data types; Cloud-native and horizontally scaleable; Efficient & performant
Statistics
GitHub Stars
38.3K
GitHub Stars
26.9K
GitHub Forks
3.5K
GitHub Forks
1.9K
Stacks
62
Stacks
52
Followers
49
Followers
20
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    Best similarity search engine, fast and easy to use
No community feedback yet
Integrations
Hugging Face
Hugging Face
Java
Java
CentOS
CentOS
Python
Python
PyTorch
PyTorch
C++
C++
Ubuntu
Ubuntu
Cohere
Cohere
Rust
Rust
FastAPI
FastAPI
Golang
Golang
Transformers
Transformers
Cohere
Cohere
Jina
Jina

What are some alternatives to Milvus, Qdrant?

Sphinx

Sphinx

It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.

MkDocs

MkDocs

It builds completely static HTML sites that you can host on GitHub pages, Amazon S3, or anywhere else you choose. There's a stack of good looking themes available. The built-in dev-server allows you to preview your documentation as you're writing it. It will even auto-reload and refresh your browser whenever you save your changes.

Lucene

Lucene

Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.

Google

Google

Search the world's information, including webpages, images, videos and more. Google has many special features to help you find exactly what you're looking for.

YugabyteDB

YugabyteDB

An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.

Searchkick

Searchkick

Searchkick learns what your users are looking for. As more people search, it gets smarter and the results get better. It’s friendly for developers - and magical for your users.

Apache Solr

Apache Solr

It uses the tools you use to make application building a snap. It is built on the battle-tested Apache Zookeeper, it makes it easy to scale up and down.

Chroma

Chroma

It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and skills pluggable for LLMs.

Weaviate

Weaviate

It is an open-source vector search engine. It allows you to store data objects and vector embeddings from your favorite ML-models, and scale seamlessly into billions of data objects.

AddSearch

AddSearch

We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.

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