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Apple Numbers VS Apache Cassandra

Compare Apple Numbers VS Apache Cassandra and see what are their differences

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Apple Numbers logo Apple Numbers

Numbers lets you build beautiful spreadsheets on a Mac, iPad, or iPhone — or on a PC using iWork for iCloud. And it’s compatible with Apple Pencil.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Apple Numbers Landing page
    Landing page //
    2023-06-14
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Apple Numbers features and specs

  • User-friendly Interface
    Apple Numbers has a clean and visually appealing interface that is intuitive and easy for users to navigate, especially for those who are already familiar with the Apple ecosystem.
  • Real-time Collaboration
    It offers real-time collaboration features, allowing multiple users to work on a spreadsheet simultaneously, making it ideal for team projects.
  • Beautiful Templates
    Numbers provides a variety of professionally designed templates for different needs, like budgets, invoices, and more, which can save time and help create visually stunning documents.
  • Seamless Integration with Apple Ecosystem
    Being part of the Apple ecosystem, Numbers integrates seamlessly with other Apple apps and services like iCloud, allowing for easy syncing across multiple Apple devices.
  • Free to Use
    Apple Numbers is free to download and use on MacOS and iOS devices, which can be a significant cost-saving over other paid spreadsheet software.

Possible disadvantages of Apple Numbers

  • Limited Compatibility
    Numbers is not as widely used as Microsoft Excel, leading to potential compatibility issues when sharing files with users who are not in the Apple ecosystem.
  • Feature Limitations
    While Numbers covers basic and most intermediate spreadsheet needs, it lacks some of the advanced features and functionalities available in Excel, which can be a drawback for power users.
  • Performance Issues with Large Files
    Numbers can struggle with performance when handling very large or complex spreadsheets, which can be a downside for users working with big data sets.
  • Learning Curve for Former Excel Users
    Users who are transitioning from Microsoft Excel to Numbers may face a learning curve because of differences in interface and functionalities.
  • Limited Third-Party Integration
    Numbers offers fewer third-party integrations compared to Excel, which can be restrictive for users who rely on various external tools and add-ins.

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.

Analysis of Apple Numbers

Overall verdict

  • Apple Numbers is an excellent choice for users within the Apple ecosystem who prioritize design and ease of use. It is particularly suitable for individuals and small teams who do not require the most advanced spreadsheet functionalities.

Why this product is good

  • Apple Numbers is a powerful spreadsheet application that is part of the iWork suite. It offers a user-friendly interface with a focus on design and aesthetics, making it especially appealing for users who need to create visually appealing spreadsheets. Numbers provides a range of templates and tools for data visualization, including interactive charts and graphs. Its seamless integration with other Apple products and services, like iCloud, allows for easy collaboration and access across different devices. However, it may lack some advanced features and compatibility that power users require when compared to alternatives like Microsoft Excel or Google Sheets.

Recommended for

  • Casual users who need to create simple to moderately complex spreadsheets.
  • Users who prefer visually appealing data presentations.
  • Individuals and teams using Apple devices that benefit from ecosystem integration.
  • Anyone who requires easy access and collaboration through iCloud.

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

Apple Numbers videos

+ Add

Review of apple numbers (microsoft office excel alternative)

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Apple Numbers and Apache Cassandra)

Apple Numbers

Apache Cassandra

Project Management
100 100%
Project Management
0% 0
Databases
0 0%
Databases
100% 100
Spreadsheets
100 100%
Spreadsheets
0% 0
NoSQL Databases
0 0%
NoSQL Databases
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 Apple Numbers and Apache Cassandra

Apple Numbers Reviews

We have no reviews of Apple Numbers yet.
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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.
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

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. 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.

Apple Numbers mentions (0)

We have not tracked any mentions of Apple Numbers yet. Tracking of Apple Numbers recommendations started around Mar 2021.

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
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What are some alternatives?

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

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.

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

Google Sheets - Synchronizing, online-based word processor, part of Google Drive.

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

LibreOffice - Calc - LibreOffice Calc is the spreadsheet program you've always needed. A fork of OpenOffice.

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

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