Software Alternatives, Accelerators & Startups

Yjs VS Redis

Compare Yjs VS Redis and see what are their differences

Yjs logo Yjs

A CRDT framework with a powerful abstraction of shared data, Shared data types for building collaborative software

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • Yjs Landing page
    Landing page //
    2023-09-01
  • 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.

Yjs features and specs

  • Real-time Collaboration
    Yjs enables real-time collaborative editing, allowing multiple users to work on the same document simultaneously without conflicts.
  • Conflict-free Replicated Data Type (CRDT)
    Yjs employs CRDTs to automatically resolve changes and conflicts, eliminating the need for complex merging algorithms.
  • Scalability
    The framework is designed to efficiently handle a large number of users, making it suitable for large-scale collaborative applications.
  • Offline Editing
    Yjs supports offline editing, allowing users to make changes while disconnected from the network and synchronizing them once back online.
  • Language Agnostic
    Yjs can be integrated with different programming languages, making it flexible for various tech stacks.
  • Open Source
    As an open-source library, Yjs provides full transparency of its codebase and fosters a supportive community for continuous improvement.

Possible disadvantages of Yjs

  • Complexity of CRDTs
    While powerful, CRDTs introduce a level of complexity that might be challenging for developers unfamiliar with distributed systems.
  • Learning Curve
    Developers may need time to understand and effectively implement Yjs, especially if they are new to real-time collaboration frameworks.
  • Integration Overhead
    Adding Yjs to an existing application might require significant changes in the architecture, particularly if the app wasn't initially designed for real-time collaboration.
  • Performance Overhead
    Handling a large amount of operational transformations in real-time can introduce performance overhead, especially in less optimized implementations.

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.

Yjs videos

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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

Category Popularity

0-100% (relative to Yjs and Redis)
Databases
5 5%
95% 95
Developer Tools
100 100%
0% 0
NoSQL Databases
2 2%
98% 98
Key-Value Database
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 Yjs and Redis

Yjs Reviews

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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.

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Yjs. While we know about 216 links to Redis, we've tracked only 19 mentions of Yjs. 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.

Yjs mentions (19)

  • Multi-player Mode is Everywhere, Even in Dev Tools
    Of course, you don’t have to code this functionality from scratch! You can also look at open-source software like Yjs, text-crdt, Automerge and so many more. Alternatively, you can check out tools like Liveblocks, Ably, etc. Which enable collaborative multi-player features. - Source: dev.to / 4 months ago
  • Show HN: JuntOS – A shared Pomodoro and focus tools
    I've built this app some time ago but only shared with close friends. It has been useful for me so I decided to share here. It works by sharing state with yjs [1], as long as you are in the same session, i.e. The same path. https://github.com/yjs/yjs. - Source: Hacker News / 7 months ago
  • Oops.js
    I write undo/redo/history in web/JS extensively. This the best lib out there for such tasks IMHO: https://github.com/yjs/yjs And you're right. You don't want undo/redo only in multi-user apps. You want to have each user have their own local undo/redo events that they can apply and unapply from the shared state which has its own events apart from each user. Everyone... - Source: Hacker News / 9 months ago
  • Oops.js
    After reviewing the ~600 lines of code, I have to ask what about this undo/redo manager is "advanced"? This seems like a naive implementation of a snapshot collection that is selected via array index. It's not event sourcing, OT or CRDT. With every event, the entire object is serialized and put into the heap. I can't even imagine what this does for performance when you deal with any object of significant size.... - Source: Hacker News / 9 months ago
  • An Interactive Intro to CRDTs
    I've seen it come up often in collaborative text editors. Also see: https://github.com/yjs/yjs. - Source: Hacker News / over 1 year ago
View more

Redis mentions (216)

  • 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 / 6 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 / 6 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 / 20 days ago
  • Setup a Redis Cluster using Redis Stack
    Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 1 month ago
  • Modern Web Development Sucks? How PostgreSQL Can Replace Your Tech Stack
    Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / 2 months ago
View more

What are some alternatives?

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

Thymer - Web-based Project management and task planning for people who hate project management and task planning. For individuals, teams and small businesses.

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

RxDB - A fast, offline-first, reactive Database for JavaScript Applications

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

Automerge - A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.

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