Scratchpad VS Qdrant
Compare Scratchpad VS Qdrant and see what are their differences
Sales pipeline software that gets you organized. Helps you focus on the right deals, so easy to use that salespeople just love it. Great for small teams.
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Scratchpad
Forecastio AI
Aviso
Troops
Rattle
Brandstory
Growblocks
Wudpecker.io
Qdrant
Milvus
Weaviate
pgvecto.rs
Vespa.ai
txtai
Zilliz
ElasticSearch
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 turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.
Scratchpad QdrantNo features have been listed yet.
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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.
Qdrant's answer:
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
Based on our record, Qdrant seems to be a lot more popular than Scratchpad. While we know about 39 links to Qdrant, we've tracked only 3 mentions of Scratchpad. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Scratchpad (https://scratchpad.com/) | REMOTE (US/Canada) | Full-time | Senior Backend Engineer, Senior Software Engineer - Backend Apply here: https://www.scratchpad.com/careers?ashby_jid=7b986939-6b0d-4365-98f8-9df4c6d83002 About Scratchpad At Scratchpad, our mission is to make salespeople happy. We believe we can do that by reducing complexity and creating delightful experiences, which has led us to pioneer the... - Source: Hacker News / over 1 year ago
You should definitely check out: https://scratchpad.com/. Source: about 2 years ago
Congrats on the new launch Iba and Syed, I still remember meeting you guys years ago in LA, you've come a long way! I'll echo some of the other comments here that most of the bigger companies I've worked with want a better JIRA but are weary of alternatives, data security, and the switching costs involved. Is there a way to offer this on top of the existing Atlassian tools? A similar model would be... - Source: Hacker News / over 2 years ago
AgentCloud uses Qdrant as the vector store to efficiently store and manage large sets of vector embeddings. For a given user query the RAG application fetches relevant documents from vector store by analyzing how similar their vector representation is compared to the query vector. - Source: dev.to / 3 days ago
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker. - Source: dev.to / 14 days ago
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours. - Source: dev.to / 21 days ago
I'm currently looking to implement locally, using QDrant [1] for instance. I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2]. [1]. https://qdrant.tech/. - Source: Hacker News / about 1 month ago
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb. - Source: Hacker News / 2 months ago
Forecastio AI - Gain actionable sales pipeline insights, build accurate sales forecasts, automate sales planning, and forget about complex, time-consuming spreadsheets.
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Aviso - Aviso provides predictive analytics software to help sales organizations optimize their performance and exceed revenue goals using machine learning algorithms and portfolio management techniques.
Weaviate - Welcome to Weaviate
Troops - Vauxhall Troops offers loyalty discounts if the car is purchased from us and we include this in your reminder. All used cars come with 12 Months MOT as Standard, Vauxhall Troops quote a competitive fixed price for any work required.
pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs