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Milvus

13
25
+ 1
1
Sonic Server

4
22
+ 1
0
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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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Pros of Milvus
Pros of Sonic Server
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    Best similarity search engine, fast and easy to use
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    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 Sonic Server?

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

    Need advice about which tool to choose?Ask the StackShare community!

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    What companies use Sonic Server?
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    What tools integrate with Sonic Server?

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    What are some alternatives to Milvus and Sonic Server?
    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.
    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.
    See all alternatives