Qdrant vs Sonic Server
Overview
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Detailed Comparison
A fast, lightweight and schema-less search backend. It ingests search texts and identifier tuples that can then be queried against in microseconds. | 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. |
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 | Easy to use API;
Fast and accurate;
Advanced filtering;
Rich data types;
Cloud-native and horizontally scaleable;
Efficient & performant |
Statistics | |
GitHub Stars 21.0K | GitHub Stars 26.9K |
GitHub Forks 604 | GitHub Forks 1.9K |
Stacks 4 | Stacks 52 |
Followers 24 | Followers 20 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Sonic Server, Qdrant?
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
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 Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
Milvus
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 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
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.
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
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
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.
