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Milvus VS TmpState.dev

Compare Milvus VS TmpState.dev and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Milvus logo Milvus

Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

TmpState.dev logo TmpState.dev

TmpState (temp state) - a tokenless temporary JSON database. One curl creates a database; the URL is the only credential. No signup, no API keys, 24h free, $1 to keep for a week. Also a zero-key MCP server: https://tmpstate.dev/mcp
  • Milvus Landing page
    Landing page //
    2022-12-01

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 generated by deep neural networks and other machine learning (ML) models. This level of scale is vital to handling the volumes of unstructured data generated to help organizations to analyze and act on it to provide better service, reduce fraud, avoid downtime, and make decisions faster.

Milvus is a graduated-stage project of the LF AI & Data Foundation.

  • TmpState.dev Database Demo
    Database Demo //
    2026-07-05

Milvus features and specs

  • High Performance
    Milvus is designed to manage and process large-scale vector data extremely fast, making it suitable for handling real-time processing of massive datasets.
  • Scalability
    Milvus supports horizontal scaling, ensuring that as the data grows, the system can scale out by adding more nodes to maintain performance.
  • Flexible Deployment
    Milvus can be deployed on-premises, on cloud services, or in hybrid environments, providing flexibility for different infrastructure needs.
  • Community and Support
    As an open-source project, Milvus has a strong community and support network, including comprehensive documentation and active community forums.
  • Rich Ecosystem
    Milvus integrates well with various machine learning and data processing tools, such as TensorFlow, PyTorch, and other AI frameworks, facilitating seamless workflows.
  • Built-in Indexing
    Milvus provides built-in indexing capabilities like IVF, HNSW, and ANNOY, which enhance the speed and efficiency of similarity searches on vector data.

Possible disadvantages of Milvus

  • Steep Learning Curve
    The complexity of vector databases and the need for understanding high-dimensional indexing techniques may pose a challenging learning curve for new users.
  • Resource Intensive
    Milvus can be resource-intensive in terms of CPU and memory, especially for large-scale deployments, which may lead to higher operational costs.
  • Evolving Project
    As a relatively new project, Milvus is rapidly evolving, and users might encounter changing APIs or features that could disrupt ongoing projects.
  • Dependency Management
    Deploying Milvus with its dependencies (such as certain hardware requirements for optimal performance) can be complex, necessitating careful planning and management.
  • Limited Use Cases
    Given its specialization in vector similarity searches, Milvus might not be the best choice for applications needing comprehensive relational database capabilities.

TmpState.dev features and specs

No features have been listed yet.

Analysis of Milvus

Overall verdict

  • Milvus is generally regarded as a good option, especially for businesses and developers working in the field of AI and data science. Its open-source nature allows for flexibility and community support, and it is backed by a solid architecture designed for scalability and efficiency.

Why this product is good

  • Milvus is considered a strong choice for handling large-scale vector data due to its high-performance capabilities and ability to manage similarity search effectively. It is particularly well-suited for applications involving AI, machine learning, and deep learning where vector operations are common.

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.

Milvus videos

+ Add

End to End Tutorial on Milvus Lite

More videos:

  • Demo - An Introduction To the Milvus Open Source Vector Database

TmpState.dev videos

No TmpState.dev videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Milvus and TmpState.dev)

Milvus

TmpState.dev

Vector Databases
100 100%
Vector Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Search Engine
100 100%
Search Engine
0% 0
Databases
88 88%
Databases
12% 12

Questions & Answers

As answered by people managing Milvus and TmpState.dev.

What makes your product unique?

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.

  • Zero credentials by design. The database URL is a capability (30+ characters of entropy, hashed at rest), the same trust model as an unguessable Google Docs share link. Nothing to provision, rotate, or leak into a repo.
  • Agent-native. It is also a zero-key remote MCP server, so an AI agent can create and use its own backend with no auth handshake - it self-onboards from llms.txt.
  • Ephemeral by default. Databases are free for 24 hours and expire automatically unless you keep them, so nothing lingers or bills silently.
  • Honest, transparent pricing. Free for 24h, one-time extensions from $1, always-on Pro at $8/month. Every charge is disclosed before it is billed.

Why should a person choose your product over its competitors?

TmpState.dev's answer:

Compared to jsonbin.io, npoint.io, json-server, or standing up Firebase/Supabase, TmpState removes the entire setup step:

  • No account and no keys - you get a working database from a single request, versus signing up and managing credentials elsewhere.
  • Faster to first write - one curl, not a dashboard, a project, and a connection string.
  • Built for agents - a native MCP server means your AI agent wires up its own storage instead of you pasting secrets into it.
  • Safe to abandon - deletion by default means no orphaned data or surprise bills; you only pay ($1 extension or $8/month Pro) when the data actually matters.

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.

How would you describe the primary audience of your product?

TmpState.dev's answer:

Developers and the AI agents working on their behalf. Primarily:

  • Builders using AI coding agents (Claude Code, Cursor, and similar) who want their agent to provision its own backend.
  • Indie hackers and solo builders prototyping quickly across several projects.
  • Hackathon participants who need a backend in the next ten minutes and will not sign up for anything.
  • Anyone who needs disposable, short-lived JSON storage without the ceremony of a full database.

What's the story behind your product?

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.

User comments

Share your experience with using Milvus and TmpState.dev. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Milvus seems to be more popular. It has been mentiond 40 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.

Milvus mentions (40)

View more

TmpState.dev mentions (0)

We have not tracked any mentions of TmpState.dev yet. Tracking of TmpState.dev recommendations started around Jul 2026.

What are some alternatives?

When comparing Milvus and TmpState.dev, you can also consider the following products

Pinecone - Search through billions of items for similar matches to any object, in milliseconds. Itโ€™s the next generation of search, an API call away.

Supabase - An open source Firebase alternative

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Upstash - Upstash provides Serverless Redis and Kafka as a service.

Weaviate - Welcome to Weaviate

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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