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Tools/Elasticsearch vs Qdrant
Elasticsearch

Elasticsearch

vector-db
vs
Qdrant

Qdrant

vector-db

Elasticsearch vs Qdrant — Comparison

Overview
What each tool does and who it's for

Elasticsearch

Power insights and outcomes with The Elasticsearch Platform. See into your data and find answers that matter with enterprise solutions designed to hel

We help you turn endless data possibilities into real results with the power of Search AI. Take advantage of all your data. Secure your private information. Optimize your infrastructure. Build smarter apps. Discover a world of AI possibilities — built with the power of search. Unify app and infrastructure visibility to proactively resolve issues. Protect, investigate, and respond to cyber threats with AI-driven security analytics. Prototype and integrate with LLMs faster using Search AI. Like our products, we find strength in distribution. It's the foundation of our outstanding company culture — and the solutions our customers love. By embracing open source, we align with ethical considerations and community values, fostering an environment of openness, sharing, and technical excellence. Working across several locations, we live by a set of ideas — rather than a statement of corporate values — to keep us honest as we go about our business. We maintain an unwavering commitment to protecting your valuable data through a robust information security program, ensuring the security and reliability trusted by thousands of customers. Our approach to AI starts with customer zero. Hear from our executive team on how we use our own technology to accelerate innovation and boost efficiency. Our GenAI employee assistant enhances efficiency across our 3,000+ workforce, resulting in an annual savings of 63 hours per Elastician. Our award-winning GenAI Support Assistant delivers self-service access to answers, resulting in a 23% improvement in mean time to first response (MTFR) to our customers. Every Elastician, starting with our board and leadership members, is committed to making secure products backed by sustainable practices. See how. We hire the best humans our planet has to offer. Join us to launch a new career or grow an existing one. Either way, adventure awaits. With people all over the globe, we care more about what you can do than where you rest your head.

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.

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

Elasticsearch

0% positive100% neutral0% negative

Qdrant

0% positive100% neutral0% negative
Pricing

Elasticsearch

usage-based + subscription + tiered

Qdrant

tieredFree tier

Pricing found: $50

Use Cases
When to use each tool

Qdrant (2)

Build AI Search the Way You WantSemantic Search
Features

Only in Elasticsearch (9)

SearchSecurityObservabilityLaunch and scale faster with ElasticTry locallyFree cloud trialTalk to an expertDiscover everything you can do with ElasticReady to put your data to work?

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

Elasticsearch

No data yet

Qdrant

token usage (1)cost tracking (1)
Product Screenshots

Elasticsearch

Elasticsearch screenshot 1Elasticsearch screenshot 2

Qdrant

Qdrant screenshot 1Qdrant screenshot 2Qdrant screenshot 3
Company Intel
information technology & services
Industry
information technology & services
3,500
Employees
95
—
Funding
$88.7M
—
Stage
Series B
Supported Languages & Categories

Elasticsearch

AI/MLFinTechDevOpsSecurityAnalytics

Qdrant

AI/MLDevOpsSecurityDeveloper Tools
View Elasticsearch Profile View Qdrant Profile