Weaviate

Challenger

Open-source AI-native vector database for semantic search and RAG. Founded 2019, Amsterdam. Raised ~$67.6M total. 5M+ downloads. Private.

Vector Databases & AI Infrastructure
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Updated April 2026

Company Overview

About Weaviate

Weaviate is an open-source, AI-native vector database founded in 2019 by Bob van Luijt, Etienne Dilocker, and Micha Verhagen in Amsterdam, Netherlands. The platform stores and searches data using vector embeddings, enabling semantic search, hybrid search, retrieval-augmented generation (RAG), and agentic AI applications. With over 5 million monthly downloads and 14,000+ GitHub stars, Weaviate has become a foundational tool for developers building production-ready AI applications.

Business Model & Competitive Advantage

The company operates on an open-core model, offering Weaviate Cloud Services (WCS) and Weaviate Hybrid SaaS as commercial products alongside its free open-source database. Weaviate integrates natively with OpenAI, Cohere, Google Cloud Platform, AWS, and Microsoft Azure. Named one of Forbes' Top 50 AI startups and recognized by Gartner as an Emerging Leader in Generative AI Engineering, Weaviate competes with Pinecone, Milvus, and Chroma in the fast-growing vector database market.

Competitive Landscape 2025–2026

In May 2025, Weaviate signed a strategic collaboration agreement with AWS and was named the 2025 AWS Rising Star Technology Partner. Recent product updates include Weaviate Embeddings, Weaviate Agents, and multimodal support. The company has raised approximately $67.6M across funding rounds led by Index Ventures, Battery Ventures, and NEA.

Revenue
$67.6M
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Key Differentiators

Strong Challenger

Weaviate is an established challenger with significant market presence and competitive offerings in Data & Analytics.

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