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Apache Cassandra VS Amazon EBS

Compare Apache Cassandra VS Amazon EBS and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Amazon EBS logo Amazon EBS

Amazon Elastic Block Store (Amazon EBS) provides persistent block level storage volumes for use with Amazon EC2 instances in the AWS Cloud. Learn more here.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Amazon EBS Landing page
    Landing page //
    2022-03-30

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.

Amazon EBS features and specs

  • Scalability
    Amazon EBS provides flexible storage that allows easy resizing of volumes without stopping the instance. This flexibility helps accommodate changing requirements and manage workloads efficiently.
  • Durability
    EBS volumes are designed for high availability and reliability, offering replication within its availability zone to protect against failures and ensuring data is safely stored.
  • Performance
    EBS offers different volume types optimized for various workloads, allowing for high performance with low latency and consistent throughput.
  • Snapshot and Backup
    EBS allows the creation of snapshots, which are backups stored in Amazon S3, making data recovery and point-in-time restoration possible.
  • Integration with AWS Ecosystem
    Seamless integration with other AWS services makes EBS a convenient and powerful option for users already leveraging AWS for compute and other cloud services.

Possible disadvantages of Amazon EBS

  • Data Transfer Costs
    While data within the same region may be low cost, transferring data between regions or out of AWS incurs additional fees, which can add up and complicate budgeting.
  • Limited Access
    EBS volumes can only be attached to instances within the same availability zone, which restricts them compared to more flexible storage solutions like Amazon S3.
  • Complexity of Management
    Managing EBS, especially at scale, can be complex. This includes ensuring snapshots are regularly taken, managing volume lifecycle, and optimizing performance.
  • Performance Variability
    Depending on the workload and chosen volume type, there can be variability in performance, which may necessitate optimization or provisioned IOPS for critical applications.
  • Cost
    While competitive, ongoing costs for storage, IOPS, and data transfer can become significant, especially for high-performance needs, which requires careful cost management.

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

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandraโ„ข

More videos:

  • Review - Introduction to Apache Cassandraโ„ข

Amazon EBS videos

+ Add

Amazon EBS Tutorial

Category Popularity

0-100% (relative to Apache Cassandra and Amazon EBS)

Apache Cassandra

Amazon EBS

Databases
100 100%
Databases
0% 0
Cloud Storage
0 0%
Cloud Storage
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100

User comments

Share your experience with using Apache Cassandra and Amazon EBS. For example, how are they different and which one is better?
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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 Amazon EBS

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.
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

Amazon EBS Reviews

We have no reviews of Amazon EBS yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than Amazon EBS. It has been mentiond 45 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 (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 / 3 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 / about 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 / about 2 years ago
View more

Amazon EBS mentions (14)

  • Optimizing AWS Costs for AI Development in 2025
    Storage: Large datasets for training and inference require massive storage. We're talking about S3 buckets, EBS volumes, and sometimes even EFS or FSx for Lustre for high-performance needs. - Source: dev.to / 11 months ago
  • EKS Cost Optimization Guide: Best Practices and Tips for 2025
    Storage Costs: EKS uses Amazon EBS (Elastic Block Store) for persistent storage. Youโ€™ll incur charges based on the volume size, provisioned IOPS, and snapshots. Efficient storage management can help reduce unnecessary expenses. By breaking down your EKS expenses into these components, you can identify which areas are costing you the most and where optimization efforts should focus. - Source: dev.to / about 1 year ago
  • AWS ECS vs Sliplane
    In US East (Ohio), Amazon's Elastic Block Storage starts at $0.08 per GB and gets cheaper at higher volumes. The same goes for bandwidth charges โ€” egress fees start at $0.09 per GB ($90 per TB) and decrease with higher usage. Ingress is free. - Source: dev.to / over 1 year ago
  • โšก๐Ÿฆ€ Deploy a blazing-fast & Lightweight LLM app with Rust-Rig-LanceDB
    LanceDB's underlying optimized storage format, lance, is flexible enough to be supported by various storage backends, such as local NVMe, EBS, EFS, S3 and other third-party APIs that connect to the cloud. - Source: dev.to / over 1 year ago
  • k8s-pvc-tagger: The Swiss Army Knife of AWS EBS Tagging
    AWS Elastic Block Store (EBS) volumes are a great way to store data for your Kubernetes applications. However, managing the tags on your EBS volumes can be a tedious and time-consuming task. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

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

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.

AWS Lambda - Automatic, event-driven compute service

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

Amazon Elastic File System - Amazon Elastic File System is a cloud-native and serverless data store that provides simple saleable elastic shared file storage for Linux-based business applications.

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