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surge.sh VS Apache Cassandra

Compare surge.sh VS Apache Cassandra and see what are their differences

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surge.sh logo surge.sh

Static website hosting for front-end developers.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • surge.sh Landing page
    Landing page //
    2021-10-20
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

surge.sh features and specs

  • Ease of Use
    Surge.sh offers a simple and intuitive interface for developers to deploy static websites quickly with a minimal learning curve.
  • Free Tier
    It provides a generous free tier, allowing developers to deploy sites without cost, which is beneficial for hobby projects or initial development stages.
  • Custom Domain
    Surge.sh supports custom domains, giving users the ability to deploy their site under a personalized web address easily.
  • Instant Deployment
    Deployments on Surge.sh are incredibly fast, often taking just seconds, which enhances productivity and reduces downtime.
  • HTTPS Support
    It includes built-in HTTPS support, ensuring that sites are secure without the need for manual SSL certificate management.

Possible disadvantages of surge.sh

  • Static Sites Only
    Surge.sh is designed specifically for static sites, so it does not support server-side logic, databases, or back-end functionality.
  • Limited Configuration Options
    It offers fewer customization options compared to other more complex deployment services, potentially limiting flexibility for advanced use cases.
  • File Size Limits
    There are file size and total site size limitations, which could be restrictive for large projects or media-heavy websites.
  • No Built-in CI/CD
    Surge.sh lacks integrated continuous integration and continuous deployment (CI/CD) workflows, which are available in other services like Netlify and Vercel.
  • Dependency on Third-Party Services for Enhancements
    For added features like backend services, developers will need to integrate third-party services, which could complicate the deployment architecture.

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 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

surge.sh videos

+ Add

Introducing Surge

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to surge.sh and Apache Cassandra)

surge.sh

Apache Cassandra

Static Site Generators
100 100%
Static Site Generators
0% 0
Databases
0 0%
Databases
100% 100
Website Builder
100 100%
Website Builder
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 surge.sh and Apache Cassandra

surge.sh Reviews

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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 should be more popular than surge.sh. 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.

surge.sh mentions (26)

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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

What are some alternatives?

When comparing surge.sh and Apache Cassandra, you can also consider the following products

GitHub Pages - A free, static web host for open-source projects on GitHub

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

tiiny.host - The simplest way to share your web project.

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

Vercel - Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.

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

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