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Milvus

13
25
+ 1
1
Sphinx

277
260
+ 1
31
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Sphinx vs Milvus: What are the differences?

Developers describe Sphinx as "Open source full text search server, designed from the ground up with performance, relevance (aka search quality), and integration simplicity in mind". 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. 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.

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

Some of the features offered by Sphinx are:

  • Output formats: HTML (including Windows HTML Help), LaTeX (for printable PDF versions), ePub, Texinfo, manual pages, plain text
  • Extensive cross-references: semantic markup and automatic links for functions, classes, citations, glossary terms and similar pieces of information
  • Hierarchical structure: easy definition of a document tree, with automatic links to siblings, parents and children

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

  • Heterogeneous computing
  • Multiple indexes
  • Intelligent resource management

Milvus is an open source tool with 1.04K GitHub stars and 217 GitHub forks. Here's a link to Milvus's open source repository on GitHub.

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Pros of Milvus
Pros of Sphinx
  • 1
    Best similarity search engine, fast and easy to use
  • 16
    Fast
  • 8
    Simple deployment
  • 6
    Open source
  • 1
    Lots of extentions

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- No public GitHub repository available -

What is Milvus?

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.

What is 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.

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What companies use Milvus?
What companies use Sphinx?
See which teams inside your own company are using Milvus or Sphinx.
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What tools integrate with Milvus?
What tools integrate with Sphinx?

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What are some alternatives to Milvus and Sphinx?
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.
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.
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.
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 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.
See all alternatives