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Yjs VS Apache Cassandra

Compare Yjs VS Apache Cassandra 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

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Yjs Landing page
    Landing page //
    2023-09-01
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

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.

Apache Cassandra features and specs

  • Scalability
    Apache Cassandra is designed for linear scalability and can handle large volumes of data across many commodity servers without a single point of failure.
  • High Availability
    Cassandra ensures high availability by replicating data across multiple nodes. Even if some nodes fail, the system remains operational.
  • Performance
    It provides fast writes and reads by using a peer-to-peer architecture, making it highly suitable for applications requiring quick data access.
  • Flexible Data Model
    Cassandra supports a flexible schema, allowing users to add new columns to a table at any time, making it adaptable for various use cases.
  • Geographical Distribution
    Data can be distributed across multiple data centers, ensuring low-latency access for geographically distributed users.
  • No Single Point of Failure
    Its decentralized nature ensures there is no single point of failure, which enhances resilience and fault-tolerance.

Possible disadvantages of Apache Cassandra

  • Complexity
    Managing and configuring Cassandra can be complex, requiring specialized knowledge and skills for optimal performance.
  • Eventual Consistency
    Cassandra follows an eventual consistency model, meaning that there might be a delay before all nodes have the latest data, which may not be suitable for all use cases.
  • Write-heavy Operations
    Although Cassandra handles writes efficiently, write-heavy workloads can lead to compaction issues and increased read latency.
  • Limited Query Capabilities
    Cassandra's query capabilities are relatively limited compared to traditional RDBMS, lacking support for complex joins and aggregations.
  • Maintenance Overhead
    Regular maintenance tasks such as node repair and compaction are necessary to ensure optimal performance, adding to the administrative overhead.
  • Tooling and Ecosystem
    While the ecosystem for Cassandra is growing, it is still not as extensive or mature as those for some other database technologies.

Yjs videos

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Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Yjs and Apache Cassandra)
Databases
9 9%
91% 91
Developer Tools
100 100%
0% 0
NoSQL Databases
5 5%
95% 95
Relational 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 Yjs and Apache Cassandra

Yjs Reviews

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Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than Yjs. It has been mentiond 44 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.

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
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Apache Cassandra mentions (44)

  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / 19 days ago
  • Data integrity in Ably Pub/Sub
    All messages are persisted durably for two minutes, but Pub/Sub channels can be configured to persist messages for longer periods of time using the persisted messages feature. Persisted messages are additionally written to Cassandra. Multiple copies of the message are stored in a quorum of globally-distributed Cassandra nodes. - Source: dev.to / 6 months ago
  • Which Database is Perfect for You? A Comprehensive Guide to MySQL, PostgreSQL, NoSQL, and More
    Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 11 months ago
  • Consistent Hashing: An Overview and Implementation in Golang
    Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / about 1 year ago
  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / about 1 year ago
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What are some alternatives?

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

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

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

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

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

ShareDB - Realtime database backend based on Operational Transformation (OT)

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