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  1. Stackups
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  3. Search
  4. Search Engines
  5. Milvus vs Sonic Server

Milvus vs Sonic Server

OverviewComparisonAlternatives

Overview

Sonic Server
Sonic Server
Stacks4
Followers24
Votes0
GitHub Stars21.0K
Forks604
Milvus
Milvus
Stacks62
Followers49
Votes2
GitHub Stars38.3K
Forks3.5K

Sonic Server vs Milvus: What are the differences?

Developers describe Sonic Server as "Fast, lightweight & schema-less search backend". A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds. On the other hand, Milvus is detailed as "An Open Source Vector Similarity Search Engine". It is an open source similarity search engine for massive-scale feature vectors. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

Sonic Server and Milvus belong to "Search Engines" category of the tech stack.

Some of the features offered by Sonic Server are:

  • Search terms are stored in collections, organized in buckets
  • Search results return object identifiers

On the other hand, Milvus provides the following key features:

  • Heterogeneous computing
  • Multiple indexes
  • Intelligent resource management

Sonic Server and Milvus are both open source tools. Sonic Server with 7.7K GitHub stars and 218 forks on GitHub appears to be more popular than Milvus with 1.04K GitHub stars and 217 GitHub forks.

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Detailed Comparison

Sonic Server
Sonic Server
Milvus
Milvus

A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds.

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.

Search terms are stored in collections, organized in buckets; Search results return object identifiers;; Search query typos are corrected; Insert and remove items in the index; Auto-complete any word in real-time;; Full Unicode compatibility; Networked channel interface; Easy-to-use libraries
Heterogeneous computing; Multiple indexes; Intelligent resource management; Horizontal scalability; High availability
Statistics
GitHub Stars
21.0K
GitHub Stars
38.3K
GitHub Forks
604
GitHub Forks
3.5K
Stacks
4
Stacks
62
Followers
24
Followers
49
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 2
    Best similarity search engine, fast and easy to use
Integrations
PHP
PHP
Python
Python
Rust
Rust
Golang
Golang
Node.js
Node.js
Hugging Face
Hugging Face
Java
Java
CentOS
CentOS
Python
Python
PyTorch
PyTorch
C++
C++
Ubuntu
Ubuntu
Cohere
Cohere

What are some alternatives to Sonic Server, Milvus?

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.

Qdrant

Qdrant

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.

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.

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