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Qdrant VS HasData

Compare Qdrant VS HasData and see what are their differences

Qdrant

Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Qdrant Landing page
Rating
0 reviews
Pricing
Open source Freemium Free trial
Alternatives Is it good?
HasData

HasData is a top web scraping platform for developers and enterprises. It delivers structured, real-time data from the web using scalable APIs and no-code tools, removing the need to manage proxies, browsers, or anti-bot systems.

HasData Landing page
Rating
0 reviews
Pricing
Open source Free trial $49 / Monthly (Up to 200,000 Requests | 15 concurrent requests)
Alternatives Is it good?
you.bot
One API for 80+ AI models — LLM, image, video & music — priced up to 80% below the official APIs. Pay only for successful calls; failed runs refunded; credits never expire. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Qdrant seems to be more popular. It has been mentioned 64 times since March 2021.

social mentions
64 vs 0
Databases popularity
100% vs 0%
alternatives listed
240+ vs 104

Base details

Website, pricing, platforms and company facts side by side.

Qdrant
HasData
Website qdrant.tech hasdata.com
Pricing
Open source Freemium Free trial Official pricing
Open source Free trial $49 / Monthly (Up to 200,000 Requests | 15 concurrent requests) Official pricing
Platforms
Linux Windows Kubernetes Docker +1
Cloud Web Python Node JS PHP Go Zapier Browser +5
Company 2021 Startup from the United States · 10 - 19 employees
Listed in
Databases Machine Learning Mlops Search Engine +1
Web Scraping Web Scraping API Data Extraction APIs +1

About Qdrant and HasData

In their own words, as submitted to SaaSHub.

Qdrant
HasData

Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be...

Read more about Qdrant

HasData is one of the best web scraping API platforms built for performance, stability, and scale. It delivers enterprise-grade APIs built for speed, reliability, and accuracy. Businesses that depend on live search data, competitive intelligence, and public web data trust HasData for its...

Read more about HasData

Features and specs

What each product offers, as listed by its team.

Qdrant 9 features
HasData 9 features
  • Advanced Filtering
  • On-disc Storage
  • Scalar Quantization
  • Product Quantization
  • Binary Quantization
  • Sparse Vectors
  • Hybrid Search
  • Discovery API
  • Recommendation API
  • Sub-2s Median Latency
    Every API request completes in about 2.1 seconds on average, even under high load.
  • 99.9% uptime SLA
    Stay online with highly reliable servers, automated failover, and 24/7 infrastructure monitoring.
  • Up to 10M Requests/Hour
    Handle massive scraping operations with infrastructure built to support 10 million hourly API calls.
  • 100M+ Proxies
    Access hundreds of millions rotating IPs for global coverage and unblockable data collection.
  • JavaScript Rendering
    Extract content from dynamic, JavaScript-heavy websites without manual browser emulation.
  • Auto-Retry & Failover
    Built-in error handling and retries ensure high success rates even under volatile network conditions.
  • Clean Structured Output
    Deliver consistent, parsed JSON with metadata, images, text, listings, and links.
  • Full Anti-Bot Protection
    Bypasses Cloudflare, Datadome, and Akamai automatically — no proxy rotation or browser setup required.
  • Easy Integration
    Connect in minutes using clear API documentation, SDKs, and straightforward REST architecture.

Analysis

An editorial look at what each product does well and who it suits.

Qdrant
HasData

Overall verdict

  • Qdrant is generally well-regarded for its performance and ease of use in managing vector data. Many users find it effective for building applications that require advanced search capabilities, particularly those involving machine learning models. However, its suitability can depend on specific project requirements and constraints, such as the existing tech stack and expected workloads.

Why this product is good

  • Qdrant is a vector database and similarity search engine designed for storing and querying high-dimensional data. It's especially effective for applications like neural search or recommendation systems, due to its ability to efficiently handle large-scale vector embeddings. Qdrant offers features such as real-time updates, seamless integration with existing data pipelines, and high availability, which make it an appealing choice for developers looking for a robust and scalable solution.

Recommended for

  • Developers building AI-powered applications
  • Companies needing efficient similarity search mechanisms
  • Teams implementing recommendation systems
  • Projects requiring real-time data processing
  • Applications dealing with large-scale vector data

Overall verdict

  • HasData is a solid web scraping and data extraction platform that offers reliable APIs and tools for collecting structured data from websites, making it a good choice for businesses and developers needing scalable data solutions.

Why this product is good

  • Provides ready-to-use scraping APIs that handle proxies, CAPTCHAs, and JavaScript rendering automatically
  • Offers scalable infrastructure suitable for both small projects and large-scale data extraction needs
  • Supports structured data output formats like JSON and HTML for easy integration
  • Includes documentation and developer-friendly tools to speed up implementation
  • Handles anti-bot measures so users can focus on data rather than infrastructure

Recommended for

  • Developers building applications that require automated web data collection
  • Businesses conducting market research and competitor price monitoring
  • E-commerce companies tracking product data and reviews
  • Data analysts and researchers gathering large datasets from the web
  • SEO professionals monitoring search engine results and rankings

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Qdrant
HasData
100% 100%
Databases
0% 0%
0% 0%
Data Extraction
100% 100%
100% 100%
Search Engine
0% 0%
0% 0%
Web Scraping
100% 100%

Questions & Answers

As answered by people managing Qdrant and HasData.

Why should a person choose your product over its competitors?

Qdrant's answer

Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.

HasData's answer:

Choose HasData for performance, reliability, and simplicity. Its APIs deliver fast response times, high accuracy, and zero hidden limits. The platform is built for real-world scraping—resilient under load, stable in production, and trusted by high-volume users.

What makes your product unique?

Qdrant's answer

Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.

HasData's answer:

HasData combines high-speed infrastructure with intelligent web data extraction. Its APIs handle JavaScript rendering, IP rotation, and anti-bot bypassing at scale—without requiring additional tooling. Developers can integrate once and retrieve clean, reliable data instantly.

Which are the primary technologies used for building your product?

Qdrant's answer

Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.

HasData's answer:

HasData runs on a distributed infrastructure using Golang, Python, and Node.js. It leverages headless Chromium for rendering, Kubernetes for scaling, and global IP rotation systems for reliable data extraction across regions.

How would you describe the primary audience of your product?

HasData's answer:

HasData serves developers, data engineers, and businesses that need scalable, automated access to public web data. These users build tools, analytics platforms, and competitive intelligence systems powered by structured, real-time information.

What's the story behind your product?

HasData's answer:

HasData was created to eliminate the complexity of large-scale web scraping. Frustrated by fragile scripts, unreliable proxies, and blocked requests, the founders built a unified platform that turns scraping into a dependable API service.

Who are some of the biggest customers of your product?

HasData's answer:

HasData serves leading companies in SEO, digital marketing, cybersecurity, and content intelligence. These clients rely on HasData to power large-scale data collection, competitive analysis, plagiarism detection, and local search insights—handling millions of requests per day without service disruption.

User comments

Share your experience with using Qdrant and HasData. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Qdrant 64 mentions
HasData 0 mentions
  • Kdrant: an idiomatic, coroutine-first Kotlin client for Qdrant
    If you build on the JVM and want to use Qdrant, the official client is io.qdrant:client — and it's built for Java. Every call returns a ListenableFuture, requests are assembled with protobuf builders, and it drags a gRPC/Netty stack onto... - Source: dev.to / about 2 months ago
  • How to give Claude Code persistent memory with a self-hosted mem0 MCP server
    The stack runs on Qdrant for vector storage, Ollama for local embeddings, and optional Neo4j for a knowledge graph that I added later. I also set it up to route different operations to the best LLM for each task. It provides eleven tools... - Source: dev.to / 7 months ago
  • The Database Zoo: Vector Databases and High-Dimensional Search
    Qdrant: Open-source vector database optimized for hybrid search and easy integration with ML workflows. - Source: dev.to / 10 months ago

View more

Tracking HasData since Oct 2025.

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