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YAML VS Redis

Compare YAML VS Redis and see what are their differences

YAML logo YAML

YAML 1.2 --- YAML: YAML Ain't Markup Language

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • YAML Landing page
    Landing page //
    2021-10-22
  • 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.

YAML videos

YAML is for Computers. ksonnet is for Humans - Bryan Liles, Heptio (Any Skill Level)

More videos:

  • Review - YAML Release Pipelines in Azure DevOps - PRE06
  • Tutorial - Azure DevOps - How to Create a YAML Pipeline in DevOps (YAML Pipelines)

Redis videos

What is Redis? | Why and When to use Redis? | Tech Primers

More videos:

  • Review - Improve your Redis developer experience with RedisInsight, Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Category Popularity

0-100% (relative to YAML and Redis)
Configuration Management
100 100%
0% 0
Databases
0 0%
100% 100
Mobile Apps
100 100%
0% 0
NoSQL Databases
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 YAML and Redis

YAML Reviews

We have no reviews of YAML yet.
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Redis Reviews

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.
Comparing the new Redis6 multithreaded I/O to Elasticache & KeyDB
So there are 3 offerings by 3 companies, all compatible with eachother and based off open source Redis: Elasticache is offered as an optimized service offering of Redis; RedisLabs and Redis providing a core product and monetized offering, and KeyDB which remains a fast cutting edge (open source) superset of Redis. This blog looks specifically at performance, however there is...
Source: docs.keydb.dev

Social recommendations and mentions

Based on our record, Redis should be more popular than YAML. It has been mentiond 188 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.

YAML mentions (36)

  • Docker compose, orchestrating and automating services
    First of all, create a file in the root project directories called compose.yaml. YAML is a text format that uses indentation to specify dependencies between configuration options. Be aware that incorrect indentation will cause problems with executing commands properly. - Source: dev.to / about 2 months ago
  • Kubernetes Through the Developer's Perspective
    Most commonly written in YAML, these files are large and complex to read and understand. And being written in YAML comes with its challenges (and quirks) since it is an additional programming language that devs need to learn. - Source: dev.to / 3 months ago
  • A View on Functional Software Architecture
    Note, that this file is a Markdown and YAML file at the same time, and as such human- and machine-readable, if the fields are filled carefully. - Source: dev.to / 6 months ago
  • Exploring the code behind Docusaurus
    Front matter is a bit of text at the start of a file (YAML to be exact) that is placed between two ---. - Source: dev.to / 8 months ago
  • topoconfig: enhancing config declarations with graphs
    Meanwhile, formats have been evolving (JSON5, YAML), config entry points are constantly changing. These fluctuations, fortunately, were covered by tools like the cosmiconfig. - Source: dev.to / 9 months ago
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Redis mentions (188)

  • Getting started with Valkey using JavaScript
    Valkey is an open source alternative to Redis. It's a community-driven, Linux Foundation project created to keep the project available for use and distribution under the open source Berkeley Software Distribution (BSD) 3-clause license after the Redis license changes. - Source: dev.to / 2 days ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    Many popular open source projects are beloved and closely tied to particular vendors. For example, web frameworks like React and Angular are associated with Meta and Google, respectively. Database software like MongoDB, Elasticsearch, and Redis are also tied to specific commercial entities but are widely used and praised for their functionality. When there is a clear driver of a project, it can offer some benefits:. - Source: dev.to / 3 days ago
  • How to Setup a Project That Can Host Up to 1000 Users for Free
    One of the most effective ways to improve the application’s performance is caching regularly accessed data. There are two leading key-value stores: Memcached and Redis. I prefer using Memcached Cloud add-on for caching because it was originally intended for it and is easier to set up, and using Redis only for background jobs. - Source: dev.to / 14 days ago
  • Hanami and HTMX - progress bar
    Hi there! I want to show off a little feature I made using hanami, htmx and a little bit of redis + sidekiq. - Source: dev.to / about 1 month ago
  • What do you want to watch next? This is why I built GoodWatch.
    Data Handling: Utilizes Windmill for data pipelines, with a primary database powered by PostgreSQL. Auxiliary data storage is handled by MongoDB, with Redis for caching to optimize performance. - Source: dev.to / about 1 month ago
View more

What are some alternatives?

When comparing YAML and Redis, you can also consider the following products

TOML - TOML - Tom's Obvious, Minimal Language

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

JSON - (JavaScript Object Notation) is a lightweight data-interchange format

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

Dhall Configuration Language - A non-repetitive alternative to YAML

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