For AI engineers building retrieval and RAG systems, Zilliz is a vector database company that offers Zilliz Cloud, a fully managed version of Milvus, the open-source database it created, for storing and searching billions of embeddings at scale.
Presence & Market Position
Tracked · below panel floor — earned mentions are accruing toward the next scored window.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Zilliz is positioning itself as the production data layer for retrieval, RAG, and agent-memory systems that need vector search at scale. Its product agenda centers on Vector Lakebase, which combines vector, semantic, hybrid, full-text, and geospatial search in a lake-native architecture. Broader GTM conversation remains early so far. The company’s current narrative stays technical, concentrating on production AI workloads, low-latency search over active data, access to colder data, and the infrastructure required to keep model context connected to large information stores.
Nvidia, Salesforce, Walmart, PayPal, Reddit, Airtable, Exa, MiniMax, OpenEvidence, Filevine
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Business Profile
Founded in 2017, Zilliz is an independent, 139-person vector-database company with $113 million in funding and $16.2 million in reported 2023 revenue. The business grew around Milvus, the open-source database it created, and Zilliz Cloud, its managed commercial service. Its current expansion into Vector Lakebase connects production vector search with lake-native storage and batch workflows, keeping the cloud business closely tied to the technical ecosystem built around Milvus.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Zilliz has built a broad public agent surface around Zilliz Cloud. Developers can use REST APIs and Python, Java, Node.js, and Go SDKs, while the MCP Server gives compatible agents standardized access to control-plane and data-plane tools. Its AI tooling also includes reusable skills, a Claude Code plugin, and prompt modules that help coding agents work with schemas, search, and migrations.
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