Qdrant
Milvus
Vespa.ai
Weaviate
TopK.io
Meilisearch
Elastic
pgvecto.rs
MySQL Visual Explain
MySQL Workbench
dbForge Studio for MySQL
OtterTune
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.
Almost Nobody Can Read MySQL’s EXPLAIN Output! Every software developer is struggling to fix slow MySQL queries. You are not alone in this because the output is focused on database professionals. However, with the transformed visualization of MySQL Visual Explain everyone can understand explains.
Qdrant MySQL Visual ExplainNo features have been listed yet.
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 more popular. It has been mentiond 56 times since March 2021. 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.
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 6 days ago
Qdrant is an easy-to-set-up, highly performing and scalable vector database, that offers numerous functionalities (among which hybrid search and metadata filtering). - Source: dev.to / 10 days ago
In cases where a company possesses a strong technological foundation and faces a substantial workload demanding advanced vector search capabilities, its ideal solution lies in adopting a specialized vector database. Prominent options in this domain include Chroma (having raised $20 million), Zilliz (having raised $113 million), Pinecone (having raised $138 million), Qdrant (having raised $9.8 million), Weaviate... - Source: dev.to / 11 days ago
/filters:no_upscale()/news/2025/04/microsoft-dotnet-ai-template-p2/en/resources/1use-aspire-orchestration-1745167526397.png) A notable addition in Preview 2 is the support for .NET Aspire, enhancing the development toolkit with advanced AI capabilities. The Qdrant vector database can be utilized alongside .NET Aspire to create scalable applications. The template continues to utilize the Retrieval Augmented... - Source: dev.to / 13 days ago
Qdrant is a vector database optimized for storing and searching these embeddings. - Source: dev.to / about 1 month ago
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.
Vespa.ai - Store, search, rank and organize big data
dbForge Studio for MySQL - dbForge Studio for MySQL is a universal GUI tool for MySQL and MariaDB database administration, development, and management.
Weaviate - Welcome to Weaviate
OtterTune - OtterTune uses machine learning to automate database tuning that improves PostgreSQL and MySQL performance and reduces costs.
