# Pinecone vs Zilliz: who uses which

On usedby, 57 companies use Pinecone and 19 use Zilliz. No company is listed with both yet. Counts include every proof level, job-post signals included. Companies named on both have a confirmed or observed line on each side. Latest check 2026-10-08: 75 of 76 public lines checked.

## Side by side

|  | [Pinecone](https://www.usedby.ai/tools/pinecone.md) | [Zilliz](https://www.usedby.ai/tools/zilliz.md) |
|---|---|---|
| Public customers | 57 | 19 |
| Confirmed | 27 | 12 |
| Observed | 29 | 7 |
| Signals (job posts) | 1 | 0 |
| Top industries of customers | Artificial Intelligence (6), DevTools & Infrastructure (4), Data & Analytics (3) | Artificial Intelligence (3), Media & Publishing (2), Sales Tech & CRM (2) |
| Category | Vector Databases | Vector Databases |
| Data processing terms | A data processing agreement is available. ([pinecone.io](https://www.pinecone.io/legal/data-processing-addendum/), checked 2026-10-04) | — |
| Integrations | Airbyte, Amazon Bedrock, Amazon Sagemaker, Cohere, Databricks, Datadog, LangChain, Llama Index, OpenAI, Snowflake, Terraform, Vercel ([docs.pinecone.io](https://docs.pinecone.io/integrations/overview), checked 2026-10-04) | LangChain, Databricks, Confluent, Prometheus, Datadog, HoneyHive, Cohere, Haystack, FiftyOne, DSPy, Voyage AI, Jina AI ([zilliz.com](https://zilliz.com/product/integrations), checked 2026-10-07) |
| Pricing | Starter: Free; Builder: $20 month flat; Standard: $50 month min. usage; Enterprise: $500 month min. usage; Bring your own cloud: contact sales ([pinecone.io](https://www.pinecone.io/pricing/), checked 2026-10-04) | — |
| Free trial | — | Free trial or free plan available. ([zilliz.com](https://zilliz.com/pricing), checked 2026-10-07) |

## Published results

Reviewed stories only; usedby did not measure the figures.

- Pinecone: [TaskUs](https://www.usedby.ai/case-studies/taskus-pinecone.md): **20%**: “a 20% reduction in AHT for voice calls” (captured by usedby 2026-10-08)
- Pinecone: [Assembled](https://www.usedby.ai/case-studies/assembled-pinecone.md): **~95%**: “a ~95% reduction of time, freeing up human agents to focus on more complex issues” (captured by usedby 2026-10-08)
- Zilliz: [Plaud](https://www.usedby.ai/case-studies/plaud-zilliz.md): **under 200ms**: “Recall returns in under 200ms on average and under 800ms at P99” (captured by usedby 2026-10-06)
- Zilliz: [Read AI](https://www.usedby.ai/case-studies/read-ai-zilliz.md): **5×**: “Read AI has achieved a 5× speedup in agentic search across diverse data sources” (captured by usedby 2026-10-06)

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Source: https://www.usedby.ai/compare/pinecone-vs-zilliz · How we check: https://www.usedby.ai/methodology