# How Airtable uses Zilliz

As published on [zilliz.com](https://zilliz.com/customers/airtable). Captured by usedby on 2026-10-17.

- Company: [Airtable](https://www.usedby.ai/companies/airtable.md)
- Tool: [Zilliz](https://www.usedby.ai/tools/zilliz.md)
- Industry: [DevTools & Infrastructure](https://www.usedby.ai/companies/industry/devtools-infrastructure.md)
- Teams: Data Infrastructure

## What the story says

Airtable's Data Infrastructure team runs self-hosted Milvus as the vector database behind its semantic search. It stores row embeddings for each customer base and retrieves the most relevant rows as context for the Omni AI chat and for linked record recommendations.

Summary written by usedby from the source page, in English. The figures are those of Zilliz and Airtable, not ours.

> Milvus emerged as the best fit: its distributed nature supports massive multi-tenancy and allows us to scale ingestion, indexing, and query execution independently, delivering performance while keeping costs predictable.

> Zilliz gives product teams a strong retrieval foundation for building AI-native workflows on structured and unstructured data.
>
> Aria Malkani, Infra Software Engineer

Source: [zilliz.com](https://zilliz.com/customers), captured 2026-10-06.

## What usedby checked

We compared the story with its live page on 2026-10-17.

- Checked: the passage quoted above is copied word for word from the page, near the name of Airtable.
- Checked: Airtable uses Zilliz. Confirmed line. Latest check across sources: 2026-10-17.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/airtable-zilliz · How we check: https://www.usedby.ai/methodology