
Weaviate
Milvus
Vespa.ai
Pinecone
ElasticSearch
Zilliz
Algolia
Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Mathpix
Handwritten PDF to LaTeX in seconds
Which is more popular?
Based on our record, Qdrant seems to be more popular. It has been mentioned 64 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | qdrant.tech | scribefa.st |
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| Platforms | — | |
| Company | 2021 | Startup from Cyprus · 2025 |
| 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...
ScribeFast turns multi-page handwritten PDF documents into LaTex in seconds. By processing each page in parallel with AI, we deliver accurate LaTeX code lightning fast. It can handle dozens of pages, equations, tables, and supports both LaTeX and Markdown output formats.
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 ScribeFast.
Qdrant's answer
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
Qdrant's answer
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
ScribeFast's answer:
The fastest and most affordable solution in the market, with a modern looking interface.
Qdrant's answer
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Share your experience with using Qdrant and ScribeFast. For example, how are they different and which one is better?
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 / about 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
Tracking ScribeFast since Apr 2025.
When comparing Qdrant and ScribeFast, you can also consider the following products.



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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