© 2026 AI-Buzz. Early access — data updated daily.
© 2026 AI-Buzz. Early access — data updated daily.
Open-source vector similarity search engine. Fast and scalable.
Founded by: Andrey Vasnetsov, Timofey Krotov
Metrics computed from HN discussion, GitHub activity, and funding data.
According to AI-Buzz, Qdrant ranks #7 in AI Infrastructure for HN discussion share (out of 70 tracked with 3.7% of HN discussion), with 42% positive developer sentiment (26 HN comments analyzed), with 1,465,779 npm downloads in 30 days, with 10,913,994 PyPI downloads in 30 days.
Source: https://ai-buzz.com/companies/qdrant?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
Description
Open-source vector similarity search engine. Fast and scalable.
Estimated Company Size
11 - 50 employees
Website
qdrant.techFunding data not available for this company. AI-Buzz focuses on developer adoption data like package downloads and GitHub activity.
Founded
2021
Description
Qdrant is a high-performance vector database. Written in Rust for speed. Open-source alternative to Pinecone.
Community engagement metrics that indicate developer traction and interest.
Last updated: 1 day ago
Mentions in HN discussions. Source: Hacker News Algolia API.
Sentiment analysis of Hacker News comments only. Does not include Reddit, Discord, or other platforms.
Total stars indicate project popularity and developer adoption.
Forks indicate active developer engagement and contribution interest.
Package download volume indicates real-world adoption and integration into production projects.
Read in-depth analysis and news about Qdrant on AI-Buzz.
Browse articles on AI-BuzzAn open-source, high-performance vector database for similarity search, built in Rust.
A fully managed, scalable cloud service for deploying and operating Qdrant vector databases without infrastructure overhead.
Explore other companies in these domains
💡 Click any category to discover similar companies
Stay informed about AI company trends, funding, and developer adoption data.
Observability and testing platform for AI agents
Ray framework company. Distributed computing for ML workloads.
ML and LLM observability platform for monitoring and evaluation
AI testing and evaluation platform. Test LLM applications at scale.
ML model serving platform with GPU infrastructure for inference
Package downloads and ecosystem metrics — 30-day window
Vector DB Market Shifts: Qdrant, Chroma Challenge Milvus
The vector database market is splitting in two. On one side: enterprise-grade distributed systems built for billion-vector scale. On the other: developer-first tools designed so that spinning up semantic search is as easy as pip install. This month’s data makes clear which side developers are choosing — and the answer should concern anyone who bet […]
Feb 25, 2026
View all articles