Qdrant
Weaviate
Milvus
Vespa.ai
Pinecone
ElasticSearch
Zilliz
Algolia
TmpState.dev
Supabase
Upstash
Firebase
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.
Qdrant
TmpState.devNo features have been listed yet.
Qdrant's answer
Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.
TmpState.dev's answer:
Compared to jsonbin.io, npoint.io, json-server, or standing up Firebase/Supabase, TmpState removes the entire setup step:
Best for throwaway and prototype state. It is honest about when not to use it: it is not meant to be your permanent production database.
Qdrant's answer
Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.
TmpState.dev's answer:
TmpState is a tokenless temporary JSON database. One curl tmpstate.dev creates a real database and returns its URL - and that URL is the only credential. No signup, no API keys, no .env, no OAuth.
Qdrant's answer
Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.
TmpState.dev's answer:
Developers and the AI agents working on their behalf. Primarily:
TmpState.dev's answer:
TmpState came out of a recurring frustration in agent workflows: AI agents constantly need somewhere to keep state, but you cannot hand them your real cloud credentials, and wiring up a database mid-task kills the flow. So the model was inverted - build a database where the URL itself is the only credential, so an agent (or a person with one curl) can create its own backend instantly, with nothing to sign up for and nothing to leak. It is a solo, founder-built, agent-first product, launched in July 2026.
Based on our record, Qdrant seems to be more popular. It has been mentiond 63 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 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 for your Claude Code instance to manage long-term memory operations, and your memories data never leaves your machine. - Source: dev.to / 5 months ago
Qdrant: Open-source vector database optimized for hybrid search and easy integration with ML workflows. - Source: dev.to / 8 months ago
Yes, Java SDKs are critical. But you don't need to rebuild entire orchestration engines just to write agents in Java. The ecosystem already has platforms solving the hard problems: memory (Zep, Mem0, LangMem), tools (specialized platforms), vectors (Pinecone, Weaviate, Qdrant), observability (LangSmith, Helicone, Langfuse). Integrate, don't rebuild. - Source: dev.to / 8 months ago
James Allsopp adds, "LangChain or LlamaIndex for managing LLM workflows, especially if you're adding vector search or documents." These tools handle multi-step processes, essential for complex apps. - Source: dev.to / 11 months ago
๐ฆ Qdrant for fast vector search and retrieval. - Source: dev.to / 11 months ago
Weaviate - Welcome to Weaviate
Supabase - An open source Firebase alternative
Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.
Upstash - Upstash provides Serverless Redis and Kafka as a service.
Vespa.ai - Store, search, rank and organize big data
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.