Software Alternatives, Accelerators & Startups

CrashPlan VS Apache Cassandra

Compare CrashPlan VS Apache Cassandra and see what are their differences

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CrashPlan logo CrashPlan

CrashPlan for Small Business backup software offers the best way to back up and store business & enterprise data securely - offsite, onsite & online in the Cloud.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • CrashPlan Landing page
    Landing page //
    2023-05-11
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

CrashPlan features and specs

  • Unlimited Storage
    CrashPlan offers unlimited cloud storage for backups, allowing users to back up as much data as needed without worrying about hitting a cap.
  • Continuous Backup
    The software provides continuous, automatic backup, ensuring that data is protected in real-time without needing manual intervention.
  • File Versioning
    CrashPlan keeps multiple versions of files, allowing users to restore any previous version in case of accidental changes or deletions.
  • Cross-Platform Support
    Available for Windows, Mac, and Linux, making it versatile and suitable for various users and environments.
  • Strong Security
    Uses AES-256 bit encryption for stored files and TLS for data transfer, ensuring a high level of security for user data.
  • Flexible Restore Options
    Offers various options for restoring files, including web-based access, making it convenient to retrieve data from anywhere.

Possible disadvantages of CrashPlan

  • Cost
    While offering valuable features, it is relatively expensive compared to some rivals, potentially putting it out of reach for budget-conscious users.
  • No Mobile App
    Lacks a dedicated mobile app, which can limit accessibility and convenience for users who need to manage backups on the go.
  • Upload Speed Limits
    Some users have reported slower upload speeds for initial backups, which can be a drawback if you need to back up large amounts of data quickly.
  • Complex Interface
    The user interface can be somewhat complex and unintuitive, which might be challenging for non-technical users.
  • Limited Customer Support
    Customer support is not available 24/7, which could be an issue for users needing immediate help outside of business hours.

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 CrashPlan

Overall verdict

  • CrashPlan is generally considered a good choice for both individuals and businesses looking for strong, reliable backup solutions. It is particularly favorable for users who need unlimited storage and advanced security measures. However, its features might be more than what's necessary for casual users who need simpler or more cost-effective solutions.

Why this product is good

  • CrashPlan is often praised for its unlimited cloud storage for backups, comprehensive versioning, and reliable security features. Users appreciate its focus on data protection, making it a popular choice for businesses and individuals who need robust backup solutions. The service also offers continuous data protection, ensuring that files are backed up as changes are made.

Recommended for

  • Small to medium-sized businesses needing reliable and secure backup solutions.
  • Individuals with large amounts of data to backup who want unlimited storage.
  • Users who need comprehensive file versioning and frequent backups.
  • Anyone who prioritizes data security and continuous backup capabilities.

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

CrashPlan videos

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Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to CrashPlan and Apache Cassandra)
Backup And Disaster Recovery
Databases
0 0%
100% 100
Cloud Storage
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 CrashPlan and Apache Cassandra

CrashPlan Reviews

Raising Prices is Hard
Early that morning news broke that our main competitor, Crashplan, was leaving the consumer backup space. You may be saying: Wait a minute, a main competitor is leaving the market and you have a mechanism to increase your prices in place — that sounds like the perfect day to raise prices! Nope. Another one of our values, is to be fair and good. Raising prices on a day when...

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.
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.

CrashPlan mentions (0)

We have not tracked any mentions of CrashPlan yet. Tracking of CrashPlan 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 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 / 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 / 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
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What are some alternatives?

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

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.

ManageWP - ManageWP is a service for bloggers, site owners and web based companies helping them manage multiple WordPress sites from one dashboard.

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

MiniTool Partition Wizard - As a partition magic alternative, Minitool Partition Wizard is the latest partition manager software which be used to manage partition on Windows 10/8/7/XP and Server 2003/2008/2012.

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