
Redis
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ArangoDB
Apache Cassandra
CouchBase
memcached
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TmpState.dev
Supabase
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Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
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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.
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.
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, Redis seems to be more popular. It has been mentiond 237 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.
Why a cache server? Well, to be, a cache system is the smallest piece of software one can found everywhere. There is a reason why redis, memcached or many other projects like that are used by everybody: developers need a way to store data quick. It could be for a session, for temporary data or simply to avoid annoying the main core database. A cache service is easy to create (key/value store), and can become... - Source: dev.to / about 2 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 2 months ago
Redis works well as the queue layer for this pattern. The receiver appends events to a list or stream. Workers consume from the stream, update event status on completion, and move failed events to a dead-letter queue after exhausting retries. - Source: dev.to / 3 months ago
Bifrost supports dual-layer semantic caching with exact match and semantic similarity. Backend options include Redis for exact caching, Weaviate for vector-based semantic matching, and Qdrant as an alternative vector store. - Source: dev.to / 3 months ago
In-memory caching shared across instances. There are no sticky sessions by default (though session affinity is available on a best-effort basis). Each request might hit a different instance. If you need shared state, you need an external store like Redis or Memorystore. - Source: dev.to / 4 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Supabase - An open source Firebase alternative
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Upstash - Upstash provides Serverless Redis and Kafka as a service.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.