Software Alternatives & Reviews

Quickwit VS Milvus

Compare Quickwit VS Milvus and see what are their differences

Quickwit logo Quickwit

Open-source & cloud-native log management & analytics

Milvus logo Milvus

Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
  • Quickwit Landing page
    Landing page //
    2022-11-02
  • Milvus Landing page
    Landing page //
    2022-12-01

Milvus is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus can store, index, and manage a billion+ embedding vectors generated by deep neural networks and other machine learning (ML) models. This level of scale is vital to handling the volumes of unstructured data generated to help organizations to analyze and act on it to provide better service, reduce fraud, avoid downtime, and make decisions faster.

Milvus is a graduated-stage project of the LF AI & Data Foundation.

Quickwit videos

No Quickwit videos yet. You could help us improve this page by suggesting one.

+ Add video

Milvus videos

End to End Tutorial on Milvus Lite

More videos:

  • Demo - An Introduction To the Milvus Open Source Vector Database

Category Popularity

0-100% (relative to Quickwit and Milvus)
Search Engine
34 34%
66% 66
Custom Search Engine
42 42%
58% 58
Vector Databases
0 0%
100% 100
Open Source
100 100%
0% 0

User comments

Share your experience with using Quickwit and Milvus. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Milvus should be more popular than Quickwit. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Quickwit mentions (12)

  • S3 Express Is All You Need
    We tested S3 Express for our search engine quickwit[0] a couple of weeks ago. While this was really satisfying on the performance side, we were a bit disappointed by the price, and I mostly agree with the article on this matter. I can see some very specific use cases where the pricing should be OK but currently, I would say most of our users should just stay on the classic S3 and add some local SSD caching if they... - Source: Hacker News / 6 months ago
  • Ask HN: Who is hiring? (September 2023)
    Quickwit (https://quickwit.io/) | Paris, France | Onsite and remote (based in Europe) | Full-time The company is fully remote but we also have a small office in Paris. We prefer candidates based in Europe but can make exceptions for the right profiles. - Senior Software Engineer 80-110k€ + 0.25-1% equity based on experience.
        We’re looking for a senior software engineer to contribute to...
    - Source: Hacker News / 8 months ago
  • Show HN: Quickwit – Cost-efficient Elasticsearch alternative on object storage
    - Another nice comment seen on HN « it seems to be very easy to run, not very IO intensive, and running fine on a single node with modest hardware with >2 billion log rows. It has a really cool dynamic schema feature too.» [9] Fun fact: at least 4 users are using Garage[10] as the object storage, this OSS project looks really promising and made the HN front page a few months ago[11], we really cherish the OSS for... - Source: Hacker News / 11 months ago
  • 💃🏼 Quickwit 0.6 released!🕺🏼: Elasticsearch API compatibility, Grafana plugin, and more....
    The github repository (⭐ are welcome ❤️) Https://github.com/quickwit-oss/quickwit. Source: 11 months ago
  • I can't recommend serious use of an all-in-one local Grafana Loki setup
    Quickwit is an open source Loki alternative too. Like said in one comment here, it works on billions of logs on one modest instance. And Grafana integration is on the way :) https://github.com/quickwit-oss/quickwit (disclaimer: I'm one of the cofounders). - Source: Hacker News / about 1 year ago
View more

Milvus mentions (34)

  • Ask HN: Who is hiring? (April 2024)
    Zilliz (zilliz.com) | Hybrid/ONSITE (SF, NYC) | Full-time I am part of the hiring team for DevRel NYC - https://boards.greenhouse.io/zilliz/jobs/4307910005 SF - https://boards.greenhouse.io/zilliz/jobs/4317590005 Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus), the most starred vector database on GitHub. Milvus is a distributed vector... - Source: Hacker News / about 1 month ago
  • Ask HN: Who is hiring? (February 2024)
    Zilliz is hiring! We're looking for REMOTE and/or HYBRID roles in SF Zilliz is the company behind Milvus (https://github.com/milvus-io/milvus. - Source: Hacker News / 3 months ago
  • Qdrant, the Vector Search Database, raised $28M in a Series A round
    Congrats to Qdrant's team, $28M for a Series is really nice. There are a lot of OSS vector search databases out there, we could probably list the main ones: - Qdrant https://github.com/qdrant/qdrant - Milvus https://github.com/milvus-io/milvus What else? - Source: Hacker News / 4 months ago
  • Open Source Advent Fun Wraps Up!
    But before we do, I do want to say that 🤩 all these lovely Open-Source projects would love a little 🎉💕 love by getting a GitHub star ⭐ for their efforts. Including Open Source Milvus 🥰. - Source: dev.to / 4 months ago
  • Milvus Adventures Dec 15, 2023
    We are celebrating 25 different open source projects during the Open Source Advent this month! You can earn points all month long for a chance to win an exclusive swag pack from Zilliz and the participating projects! It’s a great chance to learn new skills and have some winter fun. Today is the first day and we are featuring Milvus! You can join us in our Discord channel or check us out on GitHub! We'd love a ⭐... - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing Quickwit and Milvus, you can also consider the following products

Tantivy - 🐎 On average 2x faster than Lucene 🔎 Full-text search ⚙️ Configurable tokenizer (stemming available for 17 languages) 🚀 Tiny startup time (<10ms) ⌨️ Natural and Phrase Queries ䷴ Range Queries 🛠 Incremental Indexing 💨 Multi-threaded Indexing 🔩 JSON F…

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Weaviate - Welcome to Weaviate

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs