Software Alternatives, Accelerators & Startups

Apache Cassandra VS Amazon ElastiCache

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

Apache Cassandra logo Apache Cassandra

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

Amazon ElastiCache logo Amazon ElastiCache

Amazon ElastiCache offers fully managed Redis and Memcached. Seamlessly deploy, operate, and scale popular open source compatible in-memory data stores.
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17
  • Amazon ElastiCache Landing page
    Landing page //
    2023-04-28

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 ElastiCache features and specs

  • Scalability
    Amazon ElastiCache allows for seamless scaling of your cache cluster. You can easily add or remove nodes to adjust to the workload demands, ensuring efficient resource management.
  • Managed Service
    ElastiCache is fully managed by AWS, meaning that infrastructure tasks such as hardware provisioning, patching, and maintenance are handled by Amazon, reducing operational overhead for users.
  • High Performance
    Designed for delivering low latency and high throughput, ElastiCache can significantly improve the performance of applications by reducing the time to retrieve data from databases.
  • Compatibility
    It supports popular caching engines such as Redis and Memcached, allowing users to work with familiar technologies and migrate existing setups to the AWS environment with ease.
  • Security and Compliance
    ElastiCache provides robust security features including VPC integration, data encryption, and IAM policies, helping to ensure compliance with various industry standards.

Possible disadvantages of Amazon ElastiCache

  • Cost
    As a premium managed service, ElastiCache can become expensive, especially for large-scale deployments or when utilizing advanced features, which may not be ideal for all budget constraints.
  • Limited Customization
    Because it is a managed service, there are limits to the customization of infrastructure and configurations when compared to self-managed solutions, which might not accommodate all specific needs.
  • Dependency on AWS Ecosystem
    Using ElastiCache ties your infrastructure to AWS, which might not be suitable for organizations seeking a multi-cloud strategy or those who wish to avoid vendor lock-in.
  • Learning Curve
    New users may face a learning curve, especially if they are not already familiar with AWS services and console navigation, potentially requiring additional training or support.
  • Regional Limitations
    Not all features may be available in every AWS region, which could impact global deployments and necessitate strategic planning for distribution and redundancy.

Apache Cassandra videos

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Amazon ElastiCache videos

Introduction to Amazon ElastiCache for Redis

More videos:

  • Review - AWS re:Invent 2019: Supercharge your real-time apps with Amazon ElastiCache (DAT208)

Category Popularity

0-100% (relative to Apache Cassandra and Amazon ElastiCache)
Databases
87 87%
13% 13
NoSQL Databases
85 85%
15% 15
Relational Databases
100 100%
0% 0
Key-Value Database
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 Apache Cassandra and Amazon ElastiCache

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

Amazon ElastiCache Reviews

Comparing the new Redis6 multithreaded I/O to Elasticache & KeyDB
KeyDB was introduced nearly a year ago as a multithreaded fork of Redis with major performance gains. Soon after Amazon announced their enhanced io handling for Redis using Elasticache. Redis is now in the process of releasing their multithreaded io option in version 6.0. Unlike Redis6 and Elasticache, KeyDB multithreads several aspects including placing the event loop on...
Source: docs.keydb.dev

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than Amazon ElastiCache. 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.

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 / 14 days 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 / 10 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

Amazon ElastiCache mentions (13)

  • Setting up Ruby on Rails with RVM, Puma, Mina, Nginx, Sidekiq and Redis on Amazon Linux 2
    Sidekiq (For background jobs processing)+ Redis (As persistence engine for Sidekiq). Since you are in AWS ecosystem you could also use Elasticache instead of local Redis, just parameterize correctly your Sidekiq if you want to do so. - Source: dev.to / 6 months ago
  • Choosing the Right AWS Database: A Guide for Modern Applications
    Key-value databases are designed to store and retrieve data using simple key-value pairs, making them ideal for applications that require fast and simple data access. AWS offers a fully managed key-value database service called Amazon ElastiCache that supports popular key-value engines such as Redis and Memcached. - Source: dev.to / over 1 year ago
  • How to Effectively Use Caching to Improve Microservices Performance
    Cloud-Based Caching Services: Evaluate the use of cloud-based caching services, such as Amazon ElastiCache or Redis Cloud, for managed caching solutions that offer scalability, resilience, and reduced maintenance overhead. - Source: dev.to / over 1 year ago
  • AWS Beginner's Key Terminologies
    Amazon ElastiCache (database) Amazon ElastiCache is a web service that simplifies deploying, operating and scaling an in-memory cache in the cloud. The service improves the performance of web applications by providing information retrieval from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. Https://aws.amazon.com/elasticache/. - Source: dev.to / over 2 years ago
  • Amazon DynamoDB Accelerator (DAX) vs ElastiCache : Which One to Use?
    Amazon DynamoDB Accelerator (DAX) and ElastiCache both are fully managed caching services from AWS. DAX is designed especially for DynamoDB on the other hand ElastiCache can cache anything including DynamoDB. Source: over 2 years ago
View more

What are some alternatives?

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

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

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

memcached - High-performance, distributed memory object caching system

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

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.