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Apache Cassandra VS Django REST framework

Compare Apache Cassandra VS Django REST framework 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.

Django REST framework logo Django REST framework

Django REST framework is a toolkit for building web APIs.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Django REST framework Landing page
    Landing page //
    2021-09-18

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.

Django REST framework features and specs

  • Rich Feature Set
    Django REST framework (DRF) offers a comprehensive toolkit for building Web APIs, including serialization, authentication, and viewsets, which facilitate the creation of complex RESTful services with minimal effort.
  • Integration with Django
    DRF seamlessly integrates with Django's ORM and associated components, allowing for a coherent and efficient development process that leverages all of Django’s features and tools.
  • Robust Documentation
    DRF has extensive, clear, and well-structured documentation, which helps developers understand its features, integrations, and best practices quickly.
  • Community Support
    A large and active community supports DRF, meaning developers can find plenty of resources, tutorials, third-party packages, and forums for troubleshooting and enhancing their applications.
  • Flexibility
    DRF provides a lot of flexibility through class-based views and a highly customizable architecture, allowing developers to tweak their APIs to meet specific project requirements.
  • Authentication Options
    DRF supports multiple built-in authentication methods such as token-based authentication, OAuth, and JWT, along with the ability to create custom authentication mechanisms.

Possible disadvantages of Django REST framework

  • Learning Curve
    Although DRF is powerful, it comes with a steep learning curve, especially for beginners who are not familiar with Django or RESTful concepts, which can lead to a longer onboarding process.
  • Performance Overhead
    The abstraction and additional features provided by DRF can introduce some performance overhead, making raw Django views or other minimal frameworks sometimes more suitable for highly performance-sensitive applications.
  • Complexity
    For small projects or simple APIs, DRF might be overkill due to its inherent complexity and the numerous options it provides, which can slow down initial setup and development.
  • Tight Coupling with Django
    DRF is tightly coupled with Django, meaning that it’s not a suitable choice if you are looking to use a different web framework or need more flexibility in the choice of the underlying web framework.
  • Documentation Depth
    While the documentation is generally excellent, some advanced features are not as deeply covered, which can make implementing more complex customizations challenging without diving into the source code.

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Django REST framework videos

+ Add

Django Vs Django Rest Framework 2020

More videos:

  • Review - Getting Started With Django REST Framework

Category Popularity

0-100% (relative to Apache Cassandra and Django REST framework)

Apache Cassandra

Django REST framework

Databases
100 100%
Databases
0% 0
API Tools
0 0%
API Tools
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
APIs
0 0%
APIs
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 Django REST framework

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.
Source: www.analytixlabs.co.in
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

Django REST framework Reviews

We have no reviews of Django REST framework yet.
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Social recommendations and mentions

Based on our record, Apache Cassandra seems to be a lot more popular than Django REST framework. While we know about 44 links to Apache Cassandra, we've tracked only 3 mentions of Django REST framework. 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 / 21 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
View more

Django REST framework mentions (3)

  • API framework choice?
    Django Rest Framework seems like the most mature and works great with Django. But its strength, if I understand correctly, is for auto-creating all the necessary endpoints for manipulating models, which might be useful for data entry applications. I know that it's super flexible and probably my use case will be covered, but it seems that this it might get complicated. Source: almost 3 years ago
  • Django REST difference between permission classes and authentication classes
    There is one last thing I'm a little confused on with Django Rest Framework and that's the different between permission classes and authentication classes. Source: about 3 years ago
  • How to disable admin-style browsable interface of django-rest-framework?
    I am using django-rest-framework. It provides an awesome Django admin style browsable self-documenting API. But anyone can visit those pages and use the interface to add data (POST). How can I disable it? Source: over 3 years ago

What are some alternatives?

When comparing Apache Cassandra and Django REST framework, 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.

Postman - The Collaboration Platform for API Development

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

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

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

Apigee - Intelligent and complete API platform

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