Software Alternatives, Accelerators & Startups

Cloudback.it VS Apache Cassandra

Compare Cloudback.it VS Apache Cassandra and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Cloudback.it logo Cloudback.it

Cloudback secures your GitHub repositories with recurrent data backup. With Cloudback you can use your favorite cloud storage provider or a built-in one.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Cloudback.it
    Image date //
    2024-03-04

Features

We offer the most comprehensive backup on the market. Cloudback lets you store all the information you need to restore the entire repository in the event of a disaster. Back up the GitHub repository code, issues, labels, comments, milestones, etc.

Flexible schedule

You can set up a flexible schedule for each repository. Cloudback then automatically backs up the repositories according to the schedule. You can also manually trigger a backup at any time.

Customer-managed storage providers

  • Microsoft Azure Blob Storage
  • Microsoft OneDrive
  • Amazon S3
  • Google Cloud Storage
  • Alibaba Cloud Object Storage
  • OpenStack Swift

Cloudback-managed storages

  • US, EU, UK, Sidney, Singapore

Data deduplication

Reduce storage costs while using your own storage. Learn more

And more

Learn more about Cloudback features in our documentation

  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Cloudback.it

$ Details
freemium $10.0 / Monthly (per repository monthly)
Platforms
GitHub AWS Azure Google Cloud Alibaba Cloud OpenStack Swift Wasabi GitLab
Release Date
2020 October

Apache Cassandra

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Cloudback.it features and specs

  • Automated backups
    Scheduled GitHub repository backups
  • Configurable schedule
    Various backup schedules supported
  • Cloud storage providers
    Azure, AWS S3, AWS Glacier, Google Cloud, Alibaba Cloud, built-in Cloudback storage
  • Easy to use
    On click setup
  • Microsoft Azure Blob Container support
    Use your own Microsoft Azure Blob Container to save backups
  • Amazon S3 Bucket support
    Use your own Amazon S3 Bucket to save backups
  • Amazon S3 Glacier support
    Use your own Amazon S3 Glacier to save backups
  • Google Cloud Storage Bucket support
    Use your own Google Cloud Storage Bucket to save backups
  • Alibaba Cloud Object Storage Service support
    Use your own Alibaba Cloud Object Storage Service to save backups
  • Metadata backups
    The backups include the repository metadata such as issues, labels, milestones, and comments
  • Download backup
    Download entire backup: repository and metadata
  • Restore backups
    Easy to restore the backup as a new GitHub repository

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

Cloudback.it videos

No Cloudback.it videos yet. You could help us improve this page by suggesting one.

Add video

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandraโ„ข

More videos:

  • Review - Introduction to Apache Cassandraโ„ข

Category Popularity

0-100% (relative to Cloudback.it and Apache Cassandra)
GitHub
100 100%
0% 0
Databases
0 0%
100% 100
Backup And Disaster Recovery
NoSQL Databases
0 0%
100% 100

Questions & Answers

As answered by people managing Cloudback.it and Apache Cassandra.

What makes your product unique?

Cloudback.it's answer

Simplicity and user-friendliness, from the UX to the backup archive.

Why should a person choose your product over its competitors?

Cloudback.it's answer

1) Pricing policy - per repository, not per seats. 2) User-friendly backup archives. End user can take an archive and restore even manually. 3) Easy to use, the simplified UI and UX, without heavy enterprise-focused routines (but still all features are in place).

Which are the primary technologies used for building your product?

Cloudback.it's answer

It is Azure-hosted .NET core application, built with security in mind.

User comments

Share your experience with using Cloudback.it and Apache Cassandra. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Cloudback.it and Apache Cassandra

Cloudback.it Reviews

We have no reviews of Cloudback.it yet.
Be the first one to post

Apache Cassandra Reviews

Database Management Systems (DBMS) Comparison: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle
Determine the type of data that your application will be handling. The options from the relational database list, like PostgreSQL or MySQL, are your top pick with structured data, while NoSQL options (MongoDB or Cassandra) are best used for unstructured or semi-structured data.
Source: blog.devart.com
20 Best Database Management Software and Tools of 2026
Apache Cassandra is a distributed database system designed for managing large volumes of structured data across multiple servers.
Source: infomineo.com
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.
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 a lot more popular than Cloudback.it. While we know about 45 links to Apache Cassandra, we've tracked only 1 mention of Cloudback.it. 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.

Cloudback.it mentions (1)

  • I have fucked up please please helpp
    If you were using GitHub Desktop, then the file should be in the recycle bin. See this SO answer for more details. You can also try using git restore command. Finally, you can use backup tools like Cloudback to protect your repositories in the future. This will not help you to restore the local changes from your computer, but still can be useful in case of any wrong changes done to your repository. Source: over 3 years ago

Apache Cassandra mentions (45)

  • Why Apache IoTDB Is Written in Java: A Decade of Engineering Trade-offs
    When IoTDB was initiated in 2011, almost all influential distributed systems and databases were built in Java or on the JVMโ€”such as Hadoop, HBase, Spark (Scala on JVM), Cassandra, Kafka, and Flink. To integrate deeply with the big data ecosystem, choosing Java was a natural decision. - Source: dev.to / 5 months ago
  • Why You Shouldnโ€™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 / over 1 year 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 / over 1 year 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 / about 2 years 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 / over 2 years ago
View more

What are some alternatives?

When comparing Cloudback.it and Apache Cassandra, you can also consider the following products

GitProtect.io - Fully manageable, most professional GitHub and Bitbucket backup

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

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

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

Active@ Disk Image - Data Backup Software helps you to backup whole disks and partitions and to restores them when needed

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