Qdrant vs Nebius

Nebius has a disclosed valuation of $25B, while Qdrant's valuation is not publicly available, making a direct size comparison difficult. Nebius employs 1,000 people.

Nebius has raised more in total funding at $2B, compared to Qdrant's $87.8M — a gap of $1.9B. Combined, the two companies have completed 3 known funding rounds.

Nebius leads with an Awaira Score of 84/100, while Qdrant sits at 55/100. That 29-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Qdrant was founded by Andre Yatskov in 2021. Nebius's founder information is not currently available in our database.

Qdrant: Qdrant builds a high-performance vector similarity search engine and managed vector database service optimized for production AI applications requiring fast nearest-neighbor retrieval at scale. The engine is implemented in Rust for memory efficiency and throughput, and supports filtered vector search, payload indexing, and hybrid dense-sparse retrieval in a single system.\n\nThe company raised approximately 28 million USD and serves AI engineering teams across Europe and North America building recommendation systems, semantic search, computer vision pipelines, and RAG-based applications that require low-latency retrieval over large embedding collections. Qdrant is open-source with a managed cloud offering, following the commercial open-source model common in developer infrastructure.\n\nThe vector database market is consolidating around a handful of well-funded players as enterprises standardize their AI data stacks and look for production-grade infrastructure with strong SLAs and support. Qdrant differentiates from pure-cloud competitors through its Rust-based performance characteristics and its strong adoption in European markets where data sovereignty concerns make self-hosted options more commercially attractive than US-operated managed services. Nebius: Nebius is a Dutch AI infrastructure company that provides full-stack AI cloud computing services, from GPU clusters to managed machine learning platforms. Originally spun out of Yandex, Nebius has established itself as a major AI infrastructure provider with strategic partnerships including a $2 billion investment from NVIDIA and a $27 billion infrastructure deal with Meta covering dedicated GPU capacity and compute resources over a five-year period. The company operates AI-optimized data centers and offers cloud services that span the entire AI stack — from bare-metal GPU access through high-level managed AI services. Nebius competes in the rapidly growing AI cloud market alongside CoreWeave, Lambda, and the major hyperscalers, differentiating through deep engineering expertise across hardware and software layers.

Qdrant got there first, launching in 2021 — that's 2 years of extra runway. Nebius didn't arrive until 2023. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Qdrant has about 50-200 employees; Nebius has about 1,000. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Qdrant and Nebius compete in AI Infrastructure, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.