
Pinecone
Qdrant
Weaviate
ElasticSearch
Vespa.ai
Algolia
Meilisearch
Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Skills.sh
skills.ai
Agent Skills
AI Skills Manager
Doable.sh
SkillDepot
skillgraph
Your agent is underqualified. Upgrade its skills

Which is more popular?
Based on our record, Milvus seems to be more popular. It has been mentioned 40 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | skillgild.dev |
| Pricing | ||
| Platforms | — | |
| Company | 2019 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Milvus is a highly flexible, reliable, and blazing-fast cloud-native, open-source vector database. It powers embedding similarity search and AI applications and strives to make vector databases accessible to every organization. Milvus can store, index, and manage a billion+ embedding vectors...
No description of SkillGild.dev yet.
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Milvus is ideal for data scientists, AI researchers, and engineers who require efficient and scalable vector search solutions. It is also recommended for companies and projects dealing with recommendation systems, image and video search, natural language processing, and more.
No analysis of SkillGild.dev yet.
Walkthroughs and reviews on video.
End to End Tutorial on Milvus Lite
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Milvus and SkillGild.dev.
SkillGild.dev's answer:
SkillGild uses Next.js for the frontend, Go with Gin for backend services, PostgreSQL for persistent data, Redis for caching and asynchronous workloads, and containerized services for deployment. The platform is designed around API-first services, secure access control, scalable marketplace infrastructure and integrations with modern AI-agent ecosystems.
SkillGild.dev's answer:
AI coding agents are becoming increasingly capable, but developers still recreate the same prompts, instructions, tools and workflows repeatedly. At the same time, creators are building valuable agent skills with no strong distribution or monetization layer. SkillGild was created to bridge that gap — giving users a place to discover better capabilities for the agents they already use, while giving creators a marketplace to publish and monetize their expertise. Our idea is simple: your agent may already be powerful; it just needs better skills.
SkillGild.dev's answer:
SkillGild is primarily built for developers, AI coding-agent users, technical creators and teams using tools such as Claude Code, Cursor and Codex. It also serves creators who want to publish or monetize reusable agent skills, as well as agencies, educational institutions and businesses that want to distribute AI workflows to their teams or customers.
SkillGild.dev's answer:
SkillGild is built as a marketplace for reusable AI agent skills, not just a directory of prompts or GitHub repositories. Developers can discover production-ready skills for Claude Code, Cursor, Codex and other AI agents, while creators can publish, distribute and monetize their expertise. SkillGild combines discovery, creator storefronts, paid and free skills, access control, analytics and team-oriented workflows in one platform.
SkillGild.dev's answer:
SkillGild focuses on the complete lifecycle of an AI agent skill: discovery, evaluation, installation, publishing and monetization. Instead of simply indexing public repositories, SkillGild gives creators tools to build a business around their skills and gives users a structured marketplace for finding trusted, reusable capabilities across multiple AI agents.
Share your experience with using Milvus and SkillGild.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


More engines. The engine abstraction is clean, adding a new one means implementing four methods (initialize, upsert, search, count). Weaviate, Chroma, and Milvus are very interesting candidates. I should evaluate if they fit the... - Source: dev.to / 7 months ago
Weaviate and Milvus: Additional open-source options. - Source: dev.to / about 1 year ago
If you like this tutorial, show your support by giving our Milvus GitHub repo a star ⭐—it means the world to us and inspires us to keep creating! 💖. - Source: dev.to / over 1 year ago
Tracking SkillGild.dev since Oct 2026.
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