Software Alternatives, Accelerators & Startups

BackHub VS Apache Cassandra

Compare BackHub 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.

BackHub logo BackHub

Backup and archive your GitHub repositories with BackHub. Find us on the GitHub Marketplace.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • BackHub Landing page
    Landing page //
    2023-06-23

BackHub is a cloud-to-cloud backup solution for your GitHub repositories, creating recurring backups of your repos and metadata with daily snapshots.

Having a backup is essential in case of mistakes or disasters. However, most developers don't have one because it's a pain to write the script and make sure it runs every day.

Get peace of mind with BackHub. Set up reliable backups for your repositories in minutes so you can quickly recover at any time.

BackHub is a Rewind company, the leader in SaaS backups.

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

BackHub

Website
backhub.co
$ Details
paid Free Trial $12.0 / Monthly (10 GitHub repository backups)
Platforms
GitHub
Release Date
2014 January

Apache Cassandra

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

BackHub features and specs

  • Recurring GitHub repository backup
    Create daily recurring backups of your public and private GitHub repositories. Don't worry about maintaining, executing or documenting your own backup script.
  • Sync backups to S3 option
    Sync backups to your own cloud storage (currently Amazon S3) to keep an offsite copy of your data and for longterm backup retention.
  • Audit Log for enterprise compliance
    The audit log is a centralized stream of all system and user activity within your BackHub installation. Easily monitor your backups and account activity with this feature.
  • Backup Issues, Milestones and more
    Backups include not only the repository with all branches, but also all associated metadata, such as issues, milestones, pull requests, releases, wikis and more
  • Daily Backup Snapshots
    BackHub creates daily snapshots of all your backups. You can easily restore a previous state of your repository or metadata up to 30 days back in time.
  • Clone from BackHub servers
    You can clone any snapshot of your GitHub backup directly from BackHub. This means you can access your data anytime, even if GitHub is temporarily not available.
  • Restore Repositories
    When you need to recover a repository, you can restore your repository including metadata, such as issues and milestones, directly back to GitHub via the GitHub API.
  • Download GitHub repository and Metadata
    You can download the GitHub repository or metadata directly from BackHub without having to restore it back to GitHub.
  • Automatic Backup Creation
    BackHub checks your GitHub account on a daily basis for new repositories and automatically creates backups.
  • Archive Repositories
    Use BackHub as your repository archive, and at GitHub remove repositories on which you are no longer working.
  • Share Backups among your Team
    BackHub supports GitHub organizations. When you create backups for your organization, all owners and admins can access and restore these backups too.

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

BackHub videos

Create backups for your GitHub repositories

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 BackHub and Apache Cassandra)
GitHub
100 100%
0% 0
Databases
0 0%
100% 100
Developer Tools
100 100%
0% 0
NoSQL Databases
0 0%
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 BackHub and Apache Cassandra

BackHub Reviews

We have no reviews of BackHub 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 BackHub. While we know about 45 links to Apache Cassandra, we've tracked only 1 mention of BackHub. 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.

BackHub mentions (1)

  • Visual Studio 2022 and Updates Need Git Backup Solution
    But it got me thinking for c# projects and Xamarin project what off site github backup solutions do you folks use I came across backhub.co not affiliated in anyway just asking has anybody used them at all?. Source: over 4 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 BackHub and Apache Cassandra, you can also consider the following products

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.

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

Backblaze - Backblaze's remote backup automatically backs up your data to our secure datacenter.

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

Vaultedge - Access all your documents in one place.

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