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Apache Cassandra VS Kuzzle

Compare Apache Cassandra VS Kuzzle 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.

Kuzzle logo Kuzzle

Free and open source backend as a service on-premises for IoT and mobile apps with advanced functionalities: real-time pub/sub, fast search and geofencing
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Kuzzle Landing page
    Landing page //
    2023-06-23

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.

Kuzzle features and specs

  • Real-time capabilities
    Kuzzle offers real-time data processing, allowing developers to create applications that update instantly as data changes, improving user experience and responsiveness.
  • Scalability
    Built to handle large amounts of data and users simultaneously, Kuzzle is designed to scale efficiently, providing optimal performance as demand grows.
  • Open-source
    Being open-source, Kuzzle offers transparency and the ability for developers to contribute to its development and customize it to fit their specific needs.
  • Flexible plugin system
    The platform supports a robust plugin system, allowing users to extend its functionalities to meet specific project requirements without altering the core system.
  • Supports multiple protocols
    Kuzzle supports various communication protocols such as HTTP, WebSockets, and MQTT, providing versatility in how data can be transmitted and accessed.
  • Rapid development
    With an array of built-in features and tools, Kuzzle enables faster development cycles, letting developers focus more on application logic rather than backend setup.

Possible disadvantages of Kuzzle

  • Learning curve
    New users might encounter a steep learning curve due to the comprehensive features and functionalities that entail understanding the system deeply.
  • Community support
    While Kuzzle is open-source, its community is smaller compared to more established technologies, which might limit resources for troubleshooting and shared solutions.
  • Resource-intensive
    The platform may require significant resources, particularly when managing extensive real-time data processing, potentially increasing hosting costs.
  • Specialized use cases
    Kuzzle might be overly complex for simple applications that do not require real-time capabilities or extensive scalability, making it less suitable for smaller projects.
  • Dependency on architecture
    Projects that are too tightly integrated with Kuzzle may face issues if future requirements necessitate migrating to a different architecture or platform.

Analysis of Apache Cassandra

Overall verdict

  • Apache Cassandra is an excellent choice if you require a database system that can efficiently manage large-scale data while ensuring high availability and reliability. It is particularly well-suited for use cases that demand a robust, distributed, and scalable database solution.

Why this product is good

  • Apache Cassandra is a highly scalable and distributed NoSQL database management system designed to handle large amounts of data across multiple commodity servers without a single point of failure. It offers robust support for replicating data across multiple data centers, thereby enhancing fault tolerance and availability. Its masterless architecture and linear scalability make it suitable for high throughput online transactional applications.

Recommended for

  • Applications that require high availability and fault tolerance
  • Systems with large volumes of write-heavy workloads
  • Organizations that need multi-data center replication
  • Businesses seeking a scalable solution for distributed databases
  • Use cases needing real-time data processing with low latency

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Kuzzle videos

+ Add

Kuzzle Demo - Smart Home

More videos:

  • Review - [Tuto] Geofencing advertising with Kuzzle - Geofencing
  • Review - Kuzzle: a backend to power modern apps for web, mobile & IoT

Category Popularity

0-100% (relative to Apache Cassandra and Kuzzle)

Apache Cassandra

Kuzzle

Databases
100 100%
Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Backend As A Service
0 0%
Backend As A Service
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 Kuzzle

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

Kuzzle Reviews

Top 7 Firebase Alternatives for App Development in 2024
DevOps Capabilities: For self-hosted solutions like Parse or Kuzzle, consider your team’s ability to manage and maintain server infrastructure. Platforms with managed services might be preferable if your team lacks extensive DevOps experience.
Source: signoz.io
2023 Firebase Alternatives: Top 10 Open-Source & Free
Kuzzle IoT – You will have to contact the technical team to ask for a quote for Kuzzle IoT.
Source: digitalcruch.com
12 Best Open-source Database Backend Server and Google Firebase Alternatives
Kuzzle is an open-source scalable server with multiprotocol API, admin console and modular infrastructure for building real-time apps.It includes fast full-text search, geofencing and real-time pub/sub data exchange and sync. Therefore, it is suitable for building mobile apps, games, and web apps.Kuzzle offers a large set of libraries and SDK to help developers integrate and...
Source: medevel.com
10 Best Open Source Firebase Alternatives
Unlike Firebase, which relies on the NoSQL database, isn’t open source, and locks you into Google frameworks, Kuzzle offers Node.js and other databases. Plus, Kuzzle is open source and allows you to develop your custom business and other features for free.
Source: rigorousthemes.com
Top 5 Firebase Open Source Alternatives for 2021
Kuzzle is another open-source alternative to Firebase that provides backend services like a scalable server and administrative control. It also increases the functionality of the applications with the help of multiprotocol API. Here are some features of Kuzzle.
Source: blog.back4app.com

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be a lot more popular than Kuzzle. While we know about 44 links to Apache Cassandra, we've tracked only 2 mentions of Kuzzle. 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 / about 2 months 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 / 7 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 / 12 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

Kuzzle mentions (2)

  • Looking for an IOT Platform (Realtime, low latency)
    You can try https://kuzzle.io/, the platform is a highly scalable Node.js application and include it's own realtime engine in C++. Source: almost 3 years ago
  • Do you use Firebase for your flutter apps?
    Also I recommend you to use foreign-key database structure, instead of documents. To my opinion it suits better to Parse Server. If you wanna use documents, you could try kuzzle also good solution! Source: about 4 years ago

What are some alternatives?

When comparing Apache Cassandra and Kuzzle, 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.

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

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

Back4App - Low code backend to build apps faster and scale easily.

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

Parse - Build applications faster with object and file storage, user authentication, push notifications, dashboard and more out of the box.

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