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Redis VS asdf-vm

Compare Redis VS asdf-vm and see what are their differences

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Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

asdf-vm logo asdf-vm

An extendable version manager
  • Redis Landing page
    Landing page //
    2022-10-19

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.

  • asdf-vm Landing page
    Landing page //
    2023-10-18

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

asdf-vm features and specs

  • Versatility
    asdf-vm supports multiple languages and tools, allowing users to manage all their runtime versions with a single CLI interface.
  • Unified Interface
    Users only need to learn one interface to manage different runtime environments, simplifying the learning curve and reducing overhead.
  • Plugin Ecosystem
    A rich ecosystem of community-maintained plugins makes it easy to add support for new languages and tools, enhancing the tool's extensibility.
  • Convenient Version Management
    Enables seamless switching between different versions of a tool or language, making it easier to develop and test across multiple setups.
  • Configurable
    Users can define tool versions per project using `.tool-versions` files, ensuring that projects use the correct versions automatically.
  • Environment Isolation
    Each project can be isolated with specific tool versions, avoiding global conflicts and ensuring consistency.

Possible disadvantages of asdf-vm

  • Performance Overhead
    Managing multiple runtime versions may introduce overhead, particularly when many plugins are used or large binaries are involved.
  • Dependency on Plugins
    Quality and maintenance of plugins can vary, and some may be outdated or not well-supported, posing challenges for stability and updates.
  • Initial Setup Complexity
    Initial setup and configuration can be complex, especially for new users who are unfamiliar with version managers.
  • Limited Built-in Features
    Relies heavily on community plugins for functionality, which could limit built-in capabilities compared to other dedicated version managers.
  • Potential Compatibility Issues
    Some runtime environments or tools may have compatibility issues with certain plugins, requiring manual adjustments and possible troubleshooting.

Redis videos

Improve your Redis developer experience with RedisInsight, Redis Labs

More videos:

  • Review - What is Redis? | Why and When to use Redis? | Tech Primers
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

asdf-vm videos

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Category Popularity

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Databases
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0% 0
Programming
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Programming Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Redis and asdf-vm

Redis Reviews

Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, it’s the application responsibility to store the data &...
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.

asdf-vm Reviews

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Social recommendations and mentions

Redis might be a bit more popular than asdf-vm. We know about 218 links to it since March 2021 and only 176 links to asdf-vm. 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.

Redis mentions (218)

  • Cache Invalidation: The Silent Performance Killer
    Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 4 days ago
  • Feature Comparison: Reliable Queue vs. Valkey and Redis Stream
    Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / 10 days ago
  • Finding Bigfoot with Async Generators + TypeScript
    Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 24 days ago
  • Caching Isn’t Always the Answer – And Here’s Why
    Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 24 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / about 1 month ago
View more

asdf-vm mentions (176)

  • Practical Guide to Switching to Linux
    This, but here are some things I've learned to do: * Use a .local directory under my home directory instead of ~/bin. That's a great prefix when installing from source or tarball at the user level, keeps the top-level of the home directory from getting cluttered with /share /lib /include /etc /lib etc. etc. * Reach for the package manager first when installing new software, unless there is a good reason not to. It... - Source: Hacker News / 3 months ago
  • mise vs. asdf for JavaScript project environment management
    Asdf is a popular version manager that uses a technique called "shimming" to switch between different versions of tools like Python, Node.js, and Ruby. It creates temporary paths to specific versions, modifying the environment to ensure that the correct version of a tool is used in different projects. However, this method can introduce performance overhead due to how these shims work. - Source: dev.to / 5 months ago
  • Emacs 2024 Changes
    I use asdf and direnv to manage my toolchain at the project level, so to improve the integration with Emacs I installed envrc. - Source: dev.to / 5 months ago
  • Ruby 3.4.0 Released
    Use asdf (https://asdf-vm.com/) to manage your Ruby versions. You should be able to do $ asdf plugin add ruby $ asdf list all ruby (you'll see 3.4.1, the latest is available) $ asdf install ruby 3.4.1 And now you can use Ruby 3.4.1 with no issues. Follow that up with $ gem install bundler $ gem install rails $ rails new ... - Source: Hacker News / 5 months ago
  • Rust on a $5 dev board
    The toolchain can be installed via Rustup, or (my preferred way) using asdf. - Source: dev.to / 5 months ago
View more

What are some alternatives?

When comparing Redis and asdf-vm, you can also consider the following products

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

NixOS - 25 Jun 2014 . All software components in NixOS are installed using the Nix package manager. Packages in Nix are defined using the nix language to create nix expressions.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Homebrew - The missing package manager for macOS

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

RVM - Ruby Version Manager. RVM is a command-line tool which allows you to easily install, manage, and work with multiple ruby environments from interpreters to sets of gems.