Redis Cloud open source alternatives

The one thesis that will save you a week

The core question is not “which open-source app replaces Redis Cloud?” It is “do you still need a Redis-shaped system, or do you need a different database, cache, queue, or application platform?” Redis Cloud is a managed data service for caching, sessions, search, and other low-latency workloads. Most projects in the supplied alternative set are not databases at all, so choosing by GitHub star count would be a particularly efficient way to spend a week migrating to the wrong thing.

Why people are leaving Redis Cloud in 2026

The immediate pricing problem is the gap between Redis Cloud’s entry-level Essentials tier and its Pro tier. Essentials starts at $0.007/hour, which the pricing page states totals $5/month for 250 MB with no replication in US East. The same 250 MB costs $6/month with persistence, $7/month with single-zone replication, and up to $10/month with multi-zone persistence. That $5/month figure is the entry paid tier, not a realistic universal price for a production deployment.

The unpleasant jump comes with Pro: $0.014/hour with a $200/month minimum. That can be reasonable for a team that needs the Pro feature set and production guarantees. It is less charming for a small service that needs a little more than Essentials without immediately signing up for a $2,400 annual floor.

There is also the licensing question. Redis relicensed away from open source in 2024, which pushed teams toward forks, compatible implementations, and self-hosting. That does not make Redis Cloud unusable, but it does change the calculation for organizations that want permissive licensing, control over deployment, or the ability to operate the underlying software without a vendor-shaped asterisk.

The supplied candidate list exposes a separate problem: it contains no serious Redis-compatible replacement. It is mostly a directory of popular open-source projects that replace unrelated SaaS products. That matters more than the impressive star counts. A project can have 200,000 stars and still be completely useless as a cache.

The alternatives that matter

n8n

n8n is a workflow automation platform. Its GitHub description calls it a “Fair-code workflow automation platform with native AI capabilities,” with visual building, custom code, self-hosting, cloud hosting, and 400+ integrations. It is not a Redis Cloud replacement, though it may use Redis as part of a larger automation deployment for queues or worker coordination. Its position here is therefore adjacent infrastructure, not a compatible data layer.

Live metrics: 202959 stars, 60472 forks, 1115 open issues, last push 2026-08-31, license NOASSERTION.

Pick n8n if your Redis deployment exists mainly because you are trying to glue together webhooks, scheduled jobs, APIs, and background work, and you are open to changing the architecture. It gives you an application-level workflow system rather than a low-latency key-value store. Skip it if your code calls GET, SET, expiration, hashes, sorted sets, streams, or Redis modules and you expect those calls to keep working. They will not magically become workflow nodes because the repository is popular.

Ollama

Ollama runs large language models locally. The project is written in Go and focuses on getting models such as Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, and Gemma running on local hardware. It has no meaningful functional overlap with Redis Cloud, aside from the fact that an AI application might use both. Calling Ollama a Redis alternative would be category confusion with a very large GitHub number attached.

Live metrics: 179838 stars, 17623 forks, 3857 open issues, last push 2026-08-31, license MIT.

Pick Ollama if your actual Redis-related requirement is local model inference and Redis was only one component in an AI prototype. It can help remove a hosted AI dependency, but it does not provide Redis data structures, replication, persistence semantics, vector search compatibility, or a managed cache. Skip it for sessions, caching, rate limiting, pub/sub, queues, or any workload where Redis is the thing serving data.

Open WebUI

Open WebUI is a self-hosted interface for AI models and APIs. Its GitHub description is blunt: “User-friendly AI Interface (Supports Ollama, OpenAI API, ...).” It can sit in front of Ollama or other model providers, but it is an end-user interface, not a database service. Redis Cloud may appear somewhere in its deployment architecture, but Open WebUI does not replace the service your backend uses to store ephemeral state.

Live metrics: 150512 stars, 21974 forks, 199 open issues, last push 2026-08-31, license NOASSERTION.

Pick Open WebUI if you are really replacing a hosted ChatGPT-style interface and want a self-hosted front end for models. It may be useful alongside a Redis-compatible store, not instead of one. Skip it if your migration checklist contains Redis commands, keyspace notifications, persistence, replication, cluster topology, or latency targets. None of those are solved by adding a chat interface.

Excalidraw

Excalidraw is a virtual whiteboard for hand-drawn-style diagrams. It is a TypeScript project that can be self-hosted or used through its official cloud offering. Its likely connection to Redis Cloud is indirect: collaborative applications often need a backend for documents, presence, or sessions. Excalidraw itself is not that backend, and it does not present a Redis protocol-compatible storage layer.

Live metrics: 130874 stars, 15089 forks, 3428 open issues, last push 2026-08-31, license MIT.

Pick Excalidraw if your Redis Cloud migration is actually part of a broader move away from a hosted diagramming or whiteboarding product. It is a credible open-source tool in that domain. Skip it if you need a drop-in Redis replacement, because diagrams are not a cache and a canvas is not a key-value database, no matter how many stars the repository has.

Supabase

Supabase is the only supplied candidate that is even plausibly relevant to a backend migration, and “plausibly” is doing real work here. It is a Postgres development platform offering a dedicated database plus surrounding application services, positioned as an open-source Firebase alternative. It can replace some uses of Redis Cloud when Redis has been pressed into service as an improvised primary datastore, session store, or application backend. It is not a Redis-compatible cache and should not be treated as one.

Live metrics: 108651 stars, 13685 forks, 1089 open issues, last push 2026-08-31, license Apache-2.0.

Pick Supabase if your system needs durable relational data, authentication, APIs, storage, and realtime features more than it needs Redis’s in-memory data structures and latency profile. Moving session or application state into Postgres can simplify operations when the current Redis deployment is being used as a database out of convenience. Skip it if Redis is serving hot cache reads, distributed locks, rate limits, pub/sub, streams, or vector workloads that depend on Redis-specific behavior. Supabase’s official SaaS entry tier starts at $0, but the supplied data does not specify the allowance or usage dimensions, so that figure is not enough to estimate a production bill.

Decision framework

• If you need a Redis protocol-compatible cache or session store → none of the supplied candidates is a grounded recommendation.
• If Redis is standing in for durable relational application data → pick Supabase.
• If you need workflow orchestration and background integrations → pick n8n, while keeping a real data store underneath.
• If you need local model inference → pick Ollama.
• If you need a self-hosted AI chat interface → pick Open WebUI.
• If you need collaborative diagrams → pick Excalidraw.

What to watch for

The first migration question is data shape. A cache can often be rebuilt rather than exported: deploy the replacement, dual-write or warm it, move traffic, and let old keys expire. A session store is more sensitive because users may be logged out if session serialization, expiration, or key prefixes change. Persistent Redis data, streams, sorted sets, pub/sub behavior, and module-backed features require an actual compatibility plan; a Postgres platform is not a drop-in answer just because it also stores records.

The second question is operational ownership. Redis Cloud handles hosting, cluster operations, persistence options, replication choices, and the associated failure modes. Self-hosting or switching to a broader platform moves those responsibilities somewhere else. Before migrating, inventory commands and modules in use, persistence and recovery requirements, maximum tolerated latency, replication expectations, and whether the data can simply be regenerated. The supplied project list does not provide a Redis fork or Redis-compatible server, so there is no honest basis here for promising a one-for-one replacement.