Zilliz

Free tier

The Vector Lakebase for AI — real-time serving, iterative discovery, and batch analytics at hundred-billion scale

Free tier available·All audiences·API available·Open source

Key strengths

Billion-scale vector similarity searchFully managed Vector Lakebase (real-time serving, iterative discovery, batch analytics)Lake-native storage on S3 with up to 90% cost reductionFull-spectrum search (vector, full-text, JSON, geospatial, hybrid retrieval)High reliability with 99.95% uptime SLABYOC and self-hosted (Milvus open-source) deployment optionsProduction-tested across 10,000+ enterprises

Free tier + paid plans

San Francisco, USA

Founded 2017

Self-hostable

Facts verified against zilliz.com on Oct 5, 2026

Recent changes

Oct 5, 2026Open source: now available
Oct 5, 2026Plans updated: Free tier at $0 (5 GB storage, 2.5M vCUs/month, up to 5 collections). Standard from $0/month (Serverless) or from $126/GB/month (Dedicated). Enterprise from $197/month (Dedicated). Business Critical: custom pricing. BYOC available.

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Zilliz provides an API-first interface for vector database operations, compatible with the open-source Milvus SDK ecosystem. Key technical resources include:

API & SDKs: REST and gRPC APIs; official SDKs available for Python, Java, Go, and Node.js via the Milvus open-source project.
Deployment modes: Serverless (from $0/month), Dedicated managed (from $126/GB/month), Enterprise Dedicated (from $197/month), Business Critical (custom), and BYOC.
Storage layer: Lake-native architecture on S3; supports Apache Iceberg, Lance, and Parquet formats for interoperability with existing data lakes.
Search capabilities: Dense vector ANN search, sparse vector/full-text search, JSON attribute filtering, geospatial queries, and hybrid retrieval pipelines.
Cloud integrations: AWS, Google Cloud, Azure.
Self-hosting: Full feature parity available via Milvus (open-source, Apache 2.0).
SLA: 99.95% uptime on Dedicated and Enterprise tiers.

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