Redis
MongoDB
ArangoDB
Apache Cassandra
CouchBase
memcached
OrientDB
neo4j
SwarmCLI.io
Portainer
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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SwarmCLI.io's answer:
SwarmCLI stands out as a terminal user interface (TUI) tool specifically designed for Docker Swarm, modeled after k9s for Kubernetes. It offers real-time, interactive navigation for inspecting services, tasks, nodes, logs, and metrics, with keyboard-driven actions like scaling and restarting. Unlike broader tools, it has minimal dependencies for fast performance, focuses exclusively on Swarm's ecosystem, and follows an open-core model with a free Community Edition covering core features.
SwarmCLI.io's answer:
Compared to competitors like Portainer (which is more GUI-focused and supports multiple orchestrators like Kubernetes, making it heavier), or the native Docker CLI (which lacks interactive visualization and requires verbose commands), SwarmCLI provides a lightweight, CLI-first experience tailored to Swarm users. It simplifies daily operations without bloat, offers better usability for terminal enthusiasts, and includes unique real-time error overviews and context switching. For those avoiding Kubernetes complexity, it's a nimble alternative that enhances productivity while remaining open-source and extensible.
SwarmCLI.io's answer:
The primary audience includes DevOps engineers, system administrators, and developers managing Docker Swarm clusters in production or development environments. It's ideal for users who prefer terminal-based tools, seek simplicity over heavy orchestration like Kubernetes, and value open-source contributionsโsuch as those in cost-sensitive or lightweight setups.
SwarmCLI.io's answer:
SwarmCLI was created by Eldara Tech to address the gap in user-friendly, interactive tools for Docker Swarm, inspired by the success of k9s in the Kubernetes space. Development began around May 2025, with active updates through early 2026, including UI improvements, log tailing, and licensing under Apache 2.0. The motivation stems from the need for a dedicated, fast CLI to make Swarm management more accessible, encouraging community contributions to grow the ecosystem.
SwarmCLI.io's answer:
SwarmCLI is primarily built with Go (comprising 98.7% of the codebase) for its performance and portability. It leverages the Docker SDK for integration, terminal UI libraries for the interactive interface, Go modules for dependency management, and tools like Goreleaser for releases and Docker Compose for development environments.
SwarmCLI.io's answer:
As an early-stage open-source project, SwarmCLI doesn't have major enterprise customers yet. It's in the adoption phase, primarily used by individual developers and small teams contributing to or testing the tool.
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 / 3 months ago
Adding caching layers using services like Redis cache,. - Source: dev.to / 3 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 / 4 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 / 4 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 / 5 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Portainer - Simple management UI for Docker
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
CouchBase - Document-Oriented NoSQL Database
memcached - High-performance, distributed memory object caching system
