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Apache Cassandra VS JSON Placeholder

Compare Apache Cassandra VS JSON Placeholder and see what are their differences

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Apache Cassandra logo Apache Cassandra

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

JSON Placeholder logo JSON Placeholder

JSON Placeholder is a modern platform that provides you online REST API, which you can instantly use whenever you need any fake data.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • JSON Placeholder Landing page
    Landing page //
    2022-01-17

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.

JSON Placeholder features and specs

  • Free to Use
    JSON Placeholder is completely free for developers to use. There are no fees or subscription costs, which makes it accessible for anyone needing mock data quickly.
  • Reliable and Well-Maintained
    The API is maintained and kept up-to-date, ensuring that developers can rely on it for consistent performance and uptime.
  • Ease of Use
    The service is user-friendly, with clear documentation and straightforward endpoints, making it easy for developers to integrate and work with.
  • Variety of Data Types
    JSON Placeholder provides different types of data such as users, posts, comments, and todos, suitable for a variety of testing scenarios.
  • No Authentication Required
    The API does not require any form of authentication, which simplifies the process of making requests and testing applications.
  • Common Data Model
    The data model used by JSON Placeholder represents common entities often found in real-world applications, making it practical for most development purposes.

Possible disadvantages of JSON Placeholder

  • Static Data
    The data provided by JSON Placeholder is static and does not change, which can limit its usefulness for testing applications that require dynamic data.
  • Not Real Data
    The information provided is entirely fictional and may not accurately represent real-world scenarios, potentially leading to less realistic testing environments.
  • Limited Data Size
    The amount of data available is limited, which may not be sufficient for testing applications that require large datasets.
  • No Custom Data Generation
    JSON Placeholder does not offer features to generate custom datasets, which can be a limitation for developers who need specific data formats or structures.
  • Lack of Advanced Features
    The API offers basic CRUD operations but lacks advanced features like filtering, sorting, or pagination, which may be necessary for some testing scenarios.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

JSON Placeholder videos

Albums Json Placeholder - Review 4

More videos:

  • Review - JSON PLACEHOLDER - FAKE API

Category Popularity

0-100% (relative to Apache Cassandra and JSON Placeholder)
Databases
100 100%
0% 0
Development
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Online Services
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 Apache Cassandra and JSON Placeholder

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

JSON Placeholder Reviews

We have no reviews of JSON Placeholder yet.
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Social recommendations and mentions

Based on our record, JSON Placeholder should be more popular than Apache Cassandra. It has been mentiond 160 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.

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 / 14 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 / 10 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
View more

JSON Placeholder mentions (160)

  • Rest Client - Fetch
    Const request = { title: 'foo', body: 'bar', userId: 1, }; Fetch('https://jsonplaceholder.typicode.com/posts', { method: 'POST', body: JSON.stringify(request), headers: { 'Content-type': 'application/json; charset=UTF-8', }, }) .then(response => response.json()) .then(json => console.log(json));. - Source: dev.to / 4 days ago
  • Modern Networking in iOS with URLSession and async/await: A Practical Guide
    Encapsulation of base URL logic: Centralizes the host and scheme configuration (e.g. "https://jsonplaceholder.typicode.com"), keeping the logic DRY (Don't Repeat Yourself). - Source: dev.to / about 1 month ago
  • Tutorial 14: Networking in iOS - Making API Calls with URLSession
    Import Foundation Class NetworkManager { static let shared = NetworkManager() private let baseURL = "https://jsonplaceholder.typicode.com" func fetchMessages(completion: @escaping ([Message]?) -> Void) { guard let url = URL(string: "\(baseURL)/messages") else { return } let task = URLSession.shared.dataTask(with: url) { data, response, error in guard let data = data,... - Source: dev.to / about 1 month ago
  • How To Fetch Data From API In React JS Axios
    Try fetching data from public APIs like JSONPlaceholder or OpenWeatherMap. - Source: dev.to / about 1 month ago
  • Debounce vs. Throttle in JavaScript, in Simple Words
    In this CodePen, you can see a simple debounce function in action. The function waits 500 milliseconds after the user stops typing. Then, it makes a request to the JSONPlaceholder API to display the relevant results. - Source: dev.to / about 2 months ago
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What are some alternatives?

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

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

JSON Server - Get a full fake REST API with zero coding in less than 30 seconds. For front-end developers who need a quick back-end for prototyping and mocking

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

ReqRes - A hosted REST-API ready to respond to your AJAX requests.

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

Mockae - The most flexible way to mock REST APIs with Lua code execution