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Apache Cassandra VS AppSheet

Compare Apache Cassandra VS AppSheet 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.

AppSheet logo AppSheet

AppSheet enables users to create mobile apps instantly for both OS and Android. 
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • AppSheet Landing page
    Landing page //
    2022-07-23

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.

AppSheet features and specs

  • No-Code Development
    AppSheet allows users to build applications without needing to write code, making it accessible to individuals without a programming background.
  • Integration with Google Services
    As a Google Cloud product, AppSheet seamlessly integrates with other Google services like Google Sheets and Google Drive, enhancing workflow efficiency.
  • Rapid Prototyping
    AppSheet enables quick prototyping of applications, allowing users to visualize and iterate their ideas swiftly.
  • Cross-Platform Compatibility
    Applications created with AppSheet can run on multiple platforms, including iOS, Android, and web browsers, ensuring wide accessibility.
  • Rich Feature Set
    AppSheet provides a variety of features like workflow automation, data capture, and advanced analytics, making it a versatile tool for different use cases.

Possible disadvantages of AppSheet

  • Limited Customization
    While AppSheet supports customization through its no-code interface, it can be restrictive compared to fully custom-coded solutions, limiting some advanced uses.
  • Subscription Costs
    AppSheet requires a subscription for advanced features and higher usage tiers, which can be a concern for budget-conscious users or small businesses.
  • Learning Curve
    Despite being no-code, there is still a learning curve associated with understanding AppSheet’s interface and best practices, especially for new users.
  • Dependence on Google Ecosystem
    While integration with Google services is a plus, it can also mean heavy dependence on the Google ecosystem, which might not be ideal for users who utilize other platforms.
  • Performance Limitations
    For very large datasets or highly complex applications, performance may suffer compared to a fully custom-built application, potentially impacting user experience.

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

Analysis of AppSheet

Overall verdict

  • AppSheet is a highly effective tool for both non-developers and professional developers looking to quickly create and deploy custom applications. Its flexibility, ease of use, and powerful features make it a valuable asset for organizations looking to streamline processes and improve productivity without incurring significant development costs.

Why this product is good

  • AppSheet is considered a good platform due to its no-code development environment, which allows users to create robust mobile and web applications without requiring extensive programming knowledge. It offers integration with various data sources like Google Sheets, Excel, SQL, and more, making it highly versatile. The platform also provides features like automation, machine learning, and AI-driven insights that enable users to enhance the functionality of their applications easily. Additionally, AppSheet's user-friendly interface and extensive documentation make it accessible for beginners while still providing advanced capabilities for more experienced developers.

Recommended for

    AppSheet is ideal for small to medium-sized businesses, startups, and individual users who need to create customized applications without the expense and complexity of traditional app development. It is also beneficial for teams in larger organizations looking for a rapid prototyping tool or a way to empower non-technical staff to solve business problems independently.

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

AppSheet videos

+ Add

Introduction to AppSheet

More videos:

  • Review - A Quick Overview of the AppSheet App Editor
  • Review - AppSheet vs. Microsoft PowerApps

Category Popularity

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

Apache Cassandra

AppSheet

Databases
100 100%
Databases
0% 0
No Code
0 0%
No Code
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Project Management
0 0%
Project Management
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 AppSheet

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

AppSheet Reviews

Top 10 Microsoft Power Apps Alternatives and Competitors 2024
Strengths: This intuitive platform shines in building data-driven mobile applications. It excels at working with spreadsheets and integrates seamlessly with Google products like Google Sheets and Drive. AppSheet’s user-friendly interface allows citizen developers to build simple and functional applications quickly, making it a strong contender when considering AppSheet vs....
Source: medium.com
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
Make apps with no code. AppSheet’s no-code app building platform allows you to quickly build apps to collect, or connect to, data. Start building your app for free with Appsheet.
Source: www.edigitalagency.com.au
33+ Best No Code Tools you will love 😍
With AppSheet, you can build applications in minutes that can be used for anything internally within your business + other stakeholders. There are lots of custom solutions out there on the market for various processes that your company adopts, but often they lack certain features of sometimes too costly. This platform makes is affordable to build easy applications without...
Source: www.dansiepen.io
10 Best Low-Code Development Platforms in 2020
Microsoft PowerApps is a rich in features low code development platform. AppSheet is best for building mobile apps. Google App Maker provides the low code development platform which is combined with G Suite Business and G Suite Enterprise. File Maker is a flexible solution for any business type to build custom apps.
Source: www.softwaretestinghelp.com
Best Google App Maker alternatives in 2020
AppSheet offers a bunch of proprietary support videos, allowing for a better onboarding and learning experience than many other tools. At $5 per user per month, it’s also incredibly affordable. AppSheet integrantes with Google Sheets, which means easy access to your datasets in a familiar platform. Additionally, AppSheet allows you to instantly preview what your app will...
Source: retool.com

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than AppSheet. 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.

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 1 month 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

AppSheet mentions (19)

  • Show HN: I made an app that consolidated 18 apps (doc, sheet, form, site, chat)
    Unrelated but I didn't knew Google AppSheet[1] existed before seeing it on that pricing page. Interesting. >The fastest way to build apps and automate work >With Google AppSheet, you can build powerful solutions that simplify work. No coding required. [1] https://about.appsheet.com/home/. - Source: Hacker News / over 1 year ago
  • Seeking Advice on Firebase Integration for my startup
    Just use something like AppSheet https://about.appsheet.com/home/. Source: over 1 year ago
  • Help with tooling for a business workflow
    I built an AppSheet (low-code app builder) app that will automatically send an email to a salesperson in the company. The email includes information about a piece of equipment that's been offered for sale. Information includes mostly text fields, but also URLs to images hosted on Google Drive. Source: over 1 year ago
  • Best app dev software (no-code)
    Google has https://about.appsheet.com/home/ which is a no-code dev platform. Source: about 2 years ago
  • No code front end for excel?
    Perhaps AppSheet? Haven’t tried it but would let you build an app on top of Google Sheets. Source: about 2 years ago
View more

What are some alternatives?

When comparing Apache Cassandra and AppSheet, 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.

Microsoft PowerApps - Microsoft PowerApps provides tools to create, customize, share and run apps.

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

Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.

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

Dropsource - Mobile development platform for building native iOS & Android apps

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