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Zilliz
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#5015 Radar 42

A managed Vector Lakebase for AI, unifying search, discovery, and data operations.

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Product memo

AI and ML developers use Zilliz to unify vector search, discovery, and data operations at scale. It offers a managed Vector Lakebase, built by the creators of Milvus, that handles real-time vector search, lake-scale discovery, and AI data operations from a single source of truth. The platform positions itself for reliability and cost-efficiency, supporting multi-modal queries for applications with hundreds of billions of entities and thousands of queries per second.

For who

AI and ML developers and enterprises

Solves what

Unified vector search, discovery, and AI data operations at scale.

  • Vector Lakebase for AI
  • Real-time serving & batch analytics

In their own words

The Vector

Beyond vector databases — real-time serving, iterative discovery, and batch analytics on a single source of truth, each at the right cost, at hundred-billion data scale.

CTA: Get Started Free

Commercial cues

Pricing snapshot subscription with free tier

Model

subscription

Free tier

Yes

Trial

30d

No public pricing tiers captured.

Pricing Strategy

Key Tactics
  • A free tier removes friction for AI/ML developers to test vector search.
  • Tiered plans segment users by vector capacity and performance needs.
  • 30-day trial lowers adoption risk.

Operator context

Operating setup

Team

VC / larger team

LLM classification

HQ

United States

Platform

API

Audience

Developers

Market demand

Zilliz keyword demand

5 keywords

5 keywords
Upgrade to Starter

Market demand is Starter-tier market intelligence.

Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.

Builder Strategy

Strategy Type
Niche Specialist
Stage
Vc Growth
Effort
Complex Stack
About Zilliz Expand

Zilliz offers a managed Vector Lakebase designed for AI and ML developers and enterprises. The platform unifies real-time vector search, discovery, and AI data operations, all from a single source of truth.

Built by the creators of Milvus, it handles multi-modal queries at scale, supporting applications that process hundreds of billions of entities and thousands of queries per second. Zilliz serves as a reliable and cost-efficient product, allowing teams to focus on building AI applications rather than managing complex vector infrastructure.