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Redis ™ VS Automerge

Compare Redis VS Automerge and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
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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.

Automerge logo Automerge

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

  • Automerge Landing page
    Landing page //
    2023-06-02

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.

Automerge features and specs

  • Conflict Resolution
    Automerge uses CRDTs to offer automatic conflict resolution, allowing concurrent edits without manual merging.
  • Offline Support
    Automerge enables applications to work offline by keeping track of changes locally and syncing when back online.
  • Ease of Use
    The library provides a simple API that makes it easy to integrate into applications that require real-time collaboration.
  • No Central Server Requirement
    Automerge allows peer-to-peer communication, which can reduce the need for a centralized server to handle document changes.
  • Version Control
    Automatically keeps track of document history and changes, which can be useful for version control and auditing purposes.

Possible disadvantages of Automerge

  • Performance
    Automerge can consume significant memory and processing power, particularly in large documents or with frequent updates.
  • Complexity of CRDTs
    For developers unfamiliar with Conflict-free Replicated Data Types, understanding and implementing them can present a steep learning curve.
  • Limited Ecosystem
    As a relatively niche tool, Automerge has a smaller community and fewer available third-party integrations compared to more established libraries.
  • Data Structure Limitations
    Automerge supports a limited set of data structures, which can constrain the kinds of applications for which it is suitable.
  • Network Overhead
    The peer-to-peer and CRDT nature of Automerge may lead to increased network traffic, which can be problematic in bandwidth-constrained environments.

Redis videos

+ Add

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

Automerge videos

+ Add

Automerge: a new foundation for collaboration software

More videos:

  • Review - Creating Local-First Collaboration Software with Automerge • Martin Kleppmann • GOTO 2023

Category Popularity

0-100% (relative to Redis and Automerge)

Redis

Automerge

Databases
97 97%
Databases
3% 3
NoSQL Databases
98 98%
NoSQL Databases
2% 2
Developer Tools
0 0%
Developer Tools
100% 100
Key-Value Database
100 100%
Key-Value Database
0% 0

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 Automerge

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 &...
Source: www.gigaspaces.com
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...
Source: news.ycombinator.com
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.
Source: engineering.kablamo.com.au
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.
Source: www.spec-india.com

Automerge Reviews

We have no reviews of Automerge yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Automerge. While we know about 216 links to Redis, we've tracked only 5 mentions of Automerge. 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 (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 / 19 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

Automerge mentions (5)

  • Ask HN: What Are You Working On? (October 2024)
    A sqlite extension that provides a virtual table backed by an Automerge document (https://automerge.org/). I believe that there are plenty of applications that could benefit from the collaboration or sync-ability that CRDTs provide, but that don't need to manage the CRDTs directly. Moving the CRDT management into the database seems like a natural fit. It's very early, and not public anywhere, but I'd be happy to... - Source: Hacker News / 6 months ago
  • Comparing local-first frameworks and approaches
    Ink & Switch released automerge to automatically achieve this merge. If you have two documents you are collaboratively editing, you can use automerge to make concurrent changes. - Source: dev.to / 7 months ago
  • 5000x Faster CRDTs
    > The most popular, highly ergonomic, best implementations of CRDTs actually break the academic rules of CRDTs. There's a popular, highly ergonomic implementation called Automerge[0] that would beg to disagree with you. [0]: https://automerge.org/. - Source: Hacker News / 8 months ago
  • Using CRDTs to build collaborative Rust web applications
    If you plan to build production-grade CRDT-based software and don’t want to build every piece of it by hand, I recommend Automerge as a library for handling all your CRDT needs, but it’s always good to look under the hood to build intuition and understanding for the underlying concepts. - Source: dev.to / about 1 year ago
  • Figma Is a File Editor
    Take a look at https://automerge.org/ and the stack those folks are building. You're exactly right that it's a difficult balance (specifically the trick is proving commutativity for the domain-specific data of your application). But automerge (and then https://github.com/inkandswitch/peritext) show it's at least possible. Good stuff. - Source: Hacker News / almost 2 years ago

What are some alternatives?

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

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

PouchDB - Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser

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

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

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

DriftDB - GitHub Repo stars

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