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Tools/Qdrant vs Turbopuffer
Qdrant

Qdrant

vector-db
vs
Turbopuffer

Turbopuffer

vector-db

Qdrant vs Turbopuffer — Comparison

Overview
What each tool does and who it's for

Qdrant

Qdrant is an Open-Source Vector Search Engine written in Rust. It provides fast and scalable vector similarity search service with convenient API.

Based on the limited social mentions provided, there isn't enough substantive user feedback to comprehensively summarize what users think about Qdrant. The social mentions consist mainly of YouTube video titles without actual user reviews or detailed discussions. The one HackerNews mention appears to be about a different AI agent runtime tool rather than Qdrant itself. To provide an accurate summary of user sentiment about Qdrant, more detailed reviews, forum discussions, or social media posts with actual user experiences would be needed.

Turbopuffer

serverless vector and full-text search built on object storage: fast, 10x cheaper, and extremely scalable

I notice that while there are several YouTube mentions of Turbopuffer AI, no actual review content or detailed social media discussions were provided in your input. The mentions only show repeated YouTube titles without any substantive user feedback, complaints, or pricing discussions. Without access to the actual content of these reviews and social mentions, I cannot provide a meaningful summary of user sentiment, strengths, weaknesses, or pricing feedback for Turbopuffer. To give you an accurate summary, I would need the actual text content from user reviews and detailed social media posts.

Key Metrics
—
Avg Rating
—
0
Mentions (30d)
0
29,940
GitHub Stars
—
2,150
GitHub Forks
—
423,508
npm Downloads/wk
—
—
PyPI Downloads/mo
—
Community Sentiment
How developers feel about each tool based on mentions and reviews

Qdrant

0% positive100% neutral0% negative

Turbopuffer

0% positive100% neutral0% negative
Pricing

Qdrant

tieredFree tier

Pricing found: $50

Turbopuffer

subscription + tiered

Pricing found: $64/month, $256/month, $4,096/month, $64/month

Use Cases
When to use each tool

Qdrant (2)

Build AI Search the Way You WantSemantic Search
Features

Only in Qdrant (10)

Expansive Metadata FiltersNative Hybrid Search (Dense + Sparse)Built-in MultivectorEfficient, One-Stage FilteringFull-Spectrum RerankingQdrant CloudQdrant Hybrid CloudQdrant Private CloudQdrant Edge (Beta)Highest‑Performance Vector Search Engine

Only in Turbopuffer (2)

Production Scale:Key Capabilities:
Developer Ecosystem
129
GitHub Repos
—
1,590
GitHub Followers
—
20
npm Packages
—
40
HuggingFace Models
—
—
SO Reputation
—
Pain Points
Top complaints from reviews and social mentions

Qdrant

cost tracking (1)

Turbopuffer

No data yet

Product Screenshots

Qdrant

Qdrant screenshot 1Qdrant screenshot 2Qdrant screenshot 3

Turbopuffer

Turbopuffer screenshot 1
Company Intel
information technology & services
Industry
information technology & services
95
Employees
26
$88.7M
Funding
—
Series B
Stage
—
Supported Languages & Categories

Qdrant

AI/MLDevOpsSecurityDeveloper Tools

Turbopuffer

AI/MLSecurityDeveloper Tools
View Qdrant Profile View Turbopuffer Profile