---
lang: en
title: Meilisearch Cloud vs Qdrant Cloud Vector Search
canonical: "https://saasspecs.com/meilisearch-vs-qdrant/"
hvce_version: 1
tenant: saasspecs
slug: meilisearch-vs-qdrant
record_kind: comparison
content_sha256: e56355aeadade8fa0831d2c835662616c30e25c3d538dbeb956fa2fa64424e0c
indexed_at: "2026-06-15T06:32:32.875Z"
license: citation-free
entities:
  -
    role: a
    slug: meilisearch
    name: Meilisearch Cloud
    type: Thing
    profile_url: "https://saasspecs.com/item/meilisearch/?format=md"
  -
    role: b
    slug: qdrant
    name: Qdrant Cloud Vector Search
    type: Thing
    profile_url: "https://saasspecs.com/item/qdrant/?format=md"
---
# Meilisearch Cloud vs Qdrant Cloud Vector Search

## Pair

- **A**: Meilisearch Cloud
- **B**: Qdrant Cloud Vector Search

## Entity A

- **Title**: [Meilisearch Cloud](https://saasspecs.com/item/meilisearch/?format=md)
- **Schema type**: Corporation
- **Website**: https://www.meilisearch.com
- **Email**: support@meilisearch.com
- **Address**: 12 Rue de la Paix, Paris, Île-de-France, 75002, France
- **Coordinates**: 48.8698, 2.3316
- **Deployment Link**: [Deploy Meilisearch Cloud Stack Layer](https://www.meilisearch.com/cloud)

### Summary

Open-source-friendly search engine with conversational AI features and millisecond full-text retrieval.

### Description

Meilisearch Cloud hosts managed instances with typo tolerance, faceted filtering, and hybrid keyword-plus-vector search. Teams migrate from self-hosted OSS with minimal API surface changes.

### Expert insight

Enable embedders in the same index to blend keyword relevance with semantic vectors without a separate vector database.

### Attributes

- **Free Tier Allowance**: 100,000 Records
- **Rate Limit Cap**: 1,000 Concurrent Requests
- **Session Lifetime**: 24 Hours
- **Overage Fee per 1k MAU**: 15 USD/node
- **MFA Support**: Enforced via Meilisearch Cloud account two-factor authentication
- **Enterprise SSO SAML**: Available on Enterprise plans with SAML and organization RBAC
- **Custom Domain Support**: Custom API endpoints and dedicated instances on Enterprise tiers
- **Supported SDKs**: JavaScript, Python, PHP, Ruby, Go, Rust, Java, .NET, Dart
- **Social Providers**: GitHub OAuth for cloud project provisioning
- **Compliance Standards**: SOC 2 Type II, GDPR; HIPAA on Enterprise agreements
- **Webhook Fallback Policy**: Task webhooks with status polling and configurable retry on failed batches

## Entity B

- **Title**: [Qdrant Cloud Vector Search](https://saasspecs.com/item/qdrant/?format=md)
- **Schema type**: Corporation
- **Website**: https://qdrant.tech
- **Email**: support@qdrant.tech
- **Address**: 21 Unter den Linden, Berlin, Berlin, 10117, Germany
- **Coordinates**: 52.517, 13.3889
- **Deployment Link**: [Deploy Qdrant Cloud Vector Search Stack Layer](https://cloud.qdrant.io/signup)

### Summary

High-performance vector database with payload filtering, quantization, and distributed HNSW indexing for neural search.

### Description

Qdrant Cloud runs managed vector clusters with rich JSON payloads, geo filters, and hybrid sparse-dense retrieval. Teams deploy similarity search for recommendations, fraud detection, and RAG without self-managing shards.

### Expert insight

Use payload indexes on filter fields you query alongside vectors to avoid full-scan payload evaluation at scale.

### Attributes

- **Free Tier Allowance**: 1 GB
- **Rate Limit Cap**: 200 RPS
- **Session Lifetime**: 24 Hours
- **Overage Fee per 1k MAU**: 10 USD/GB
- **MFA Support**: Enforced via Qdrant Cloud console two-factor authentication
- **Enterprise SSO SAML**: Available on Enterprise with SAML, OIDC, and dedicated clusters
- **Custom Domain Support**: Private cloud and hybrid deployments on Enterprise tiers
- **Supported SDKs**: Python, JavaScript, Rust, Go, Java, REST, gRPC, LangChain
- **Social Providers**: GitHub and Google OAuth for Qdrant Cloud account login
- **Compliance Standards**: SOC 2 Type II, GDPR; HIPAA on Enterprise agreements
- **Webhook Fallback Policy**: Snapshot exports and WAL replay for disaster recovery on managed clusters

## Facts (machine-readable)

| axis | unit | a_value | b_value | a_display | b_display |
| --- | --- | --- | --- | --- | --- |
| Free Tier Allowance | Records | 100000 | 1 | 100,000 Records | 1 GB |
| Rate Limit Cap | Concurrent Requests | 1000 | 200 | 1,000 Concurrent Requests | 200 RPS |
| Session Lifetime | Hours | 24 | 24 | 24 Hours | 24 Hours |
| Overage Fee per 1k MAU | USD/node | 15 | 10 | 15 USD/node | 10 USD/GB |

## Metrics

- **Free Tier Allowance**: 100,000 Records / 1 GB
- **Rate Limit Cap**: 1,000 Concurrent Requests / 200 RPS
- **Session Lifetime**: 24 Hours / 24 Hours
- **Overage Fee per 1k MAU**: 15 USD/node / 10 USD/GB

## Comparison context

This comparison covers the following catalog entities:

- [Meilisearch Cloud](https://saasspecs.com/item/meilisearch/?format=md) (a)
- [Qdrant Cloud Vector Search](https://saasspecs.com/item/qdrant/?format=md) (b)