Dataweave vs Weaviate

Weaviate has a disclosed valuation of $200M, while Dataweave's valuation is not publicly available, making a direct size comparison difficult. Weaviate employs 80 people.

Weaviate has raised more in total funding at $67.5M, compared to Dataweave's $22M — a gap of $45.5M. Combined, the two companies have completed 6 known funding rounds.

Weaviate leads with an Awaira Score of 72/100, while Dataweave sits at 55/100. That 17-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Dataweave was founded by Krishnamurthy Rengarajan in 2011. Weaviate was founded by Bob van Luijt in 2019. Visit each company's profile on Awaira for a full founder biography.

Dataweave: Dataweave is a retail price intelligence and competitive data platform that continuously monitors millions of product listings across e-commerce marketplaces, brand websites, and retail channels, using AI to deliver real-time pricing analytics, assortment insights, and promotion tracking to retailers and brand manufacturers. The platform helps merchandising and pricing teams make data-driven decisions to stay competitive on digital shelves.\n\nThe company raised approximately $22M in Series B funding and serves major global retailers, consumer goods companies, and marketplaces that need systematic visibility into competitor pricing and shelf positioning. Dataweave processes billions of data points daily and provides structured analytics that replace manual price monitoring spreadsheets.\n\nAs e-commerce has shifted pricing from periodic catalog decisions to continuous dynamic optimization, the need for automated competitive price intelligence has become a core retail technology investment. Dataweave's decade of accumulated retail data and processing infrastructure gives it a scale advantage over newer entrants in the competitive intelligence category. Weaviate: Weaviate is a Netherlands-based vector database company founded in 2019 that enables organizations to build AI applications using vector search and semantic search capabilities. The platform stores, indexes, and searches unstructured data—including text, images, and audio—by converting them into vector embeddings, making it suitable for large language model applications and retrieval-augmented generation (RAG) systems. The core product is an open-source vector database with both community and enterprise versions. Weaviate allows developers to perform similarity searches and build knowledge graphs with semantic understanding. The platform integrates with machine learning frameworks and supports various embedding models, enabling organizations to power AI applications without extensive machine learning infrastructure expertise. Founded during the emergence of modern AI applications, Weaviate operates in the expanding vector database category competing with Pinecone, Milvus, and Qdrant. The company has raised $68 million across funding rounds with a valuation of $200 million as of its Series B stage. Weaviate serves use cases across e-commerce recommendation systems, content discovery, semantic search, and enterprise search applications. The company has gained adoption among developers and organizations building AI-powered products. Its open-source approach provides both community engagement and enterprise monetization pathways. The vector database market has experienced significant growth as organizations increasingly adopt large language models requiring efficient vector storage and retrieval infrastructure. Weaviate combines open-source accessibility with enterprise vector database capabilities positioned to capture growth in RAG and semantic search application development.

Dataweave got there first, launching in 2011 — that's 8 years of extra runway. Weaviate didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Dataweave has about 100-500 employees; Weaviate has about 80. 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 Dataweave and Weaviate compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.