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

Keygen
The simplest way to license your app.

Which is more popular?
Based on our record, Qdrant seems to be a lot more popular than Keylight.dev. While we know about 64 links to Qdrant, we've tracked only 4 mentions of Keylight.dev.
Website, pricing, platforms and company facts side by side.
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| Website | qdrant.tech | keylight.dev |
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| Company | 2021 | Startup from Belgium · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


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...
Keylight sits between your payment provider and your app. Licenses, activations, customers, and usage all live here. Switch providers, or run several, without shipping a new build.
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Qdrant and Keylight.dev.
Qdrant's answer
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Keylight.dev's answer:
My goal is to make all apps work with Keylight. So all of your licenses, from any types of apps, is going through Keylight for analytics, customer portal, support, ...
Most licensing tools are bundled into a payment provider. Keylight is built as an independent licensing layer.
That means you can change payment providers, sell through multiple platforms, or change your pricing model without rebuilding licensing inside your app.
It also gives developers a ready-made SDK and dashboard instead of requiring them to build and maintain their own licensing backend.
Qdrant's answer
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
Keylight.dev's answer:
Keylight keeps app licensing separate from payments. You can use Stripe, Paddle, Lemon Squeezy, Polar, Gumroad, or your own checkout without tying your app to one provider.
It handles license keys, device activations, trials, free tiers, offline access, grace periods, and signed license state through one SDK.
Qdrant's answer
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Keylight.dev's answer:
Swift and Swift Package Manager for the Apple SDK Rust SDK / JS SDK / C# SDK / C++ SDK TypeScript React Next.js Stripe Connect and payment-provider webhooks Cryptographic signatures for secure, offline-capable licenses REST APIs for application and provider integrations
Keylight.dev's answer:
Keylight is primarily built for independent developers and software companies selling apps directly to customers.
Its main audience includes:
macOS and iOS developers Web app and SaaS developers Developers selling outside app stores Teams migrating from a payment provider’s built-in licensing Developers who need trials, device limits, offline access, and license analytics
Keylight.dev's answer:
Keylight started because I kept rebuilding the same licensing systems for different apps: license keys, trials, activations, offline access, device changes, and all the edge cases that come with them.
I also did not want licensing to be controlled by whichever payment provider an app happened to use.
So I built Keylight as a standalone layer between the app and the payment provider. Payment platforms send events to Keylight, and the app receives one consistent license state through the SDK.
Keylight.dev's answer:
That's confidential.
Share your experience with using Qdrant and Keylight.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of Qdrant yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


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 / 2 months ago
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
Qdrant: Open-source vector database optimized for hybrid search and easy integration with ML workflows. - Source: dev.to / 10 months ago
You don't want to hand-roll Ed25519 and lease parsing. Most licensing SDKs hide this behind a couple of calls. With Keylight, for example, the offline path collapses to: activate once, then a local checkOnLaunch() that verifies the lease... - Source: dev.to / 3 months ago
Full disclosure: I now build Keylight, so weigh this accordingly — I'm telling you the seam it's designed for, not that it wins every row. - Source: dev.to / 3 months ago
Full docs and the free tier are at keylight.dev. If you're on Tauri or Electron instead of native Swift, the same SDK pattern exists in JS/Rust. - Source: dev.to / 3 months ago
When comparing Qdrant and Keylight.dev, you can also consider the following products.


A dead-simple software licensing API built for developers
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Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
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Search through billions of items for similar matches to any object, in milliseconds. It’s the next generation of search, an API call away.
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Elasticsearch is an open source, distributed, RESTful search engine.
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