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AWS Elastic Load Balancing VS Apache Cassandra

Compare AWS Elastic Load Balancing VS Apache Cassandra and see what are their differences

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AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances 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.
  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

AWS Elastic Load Balancing features and specs

  • Scalability
    AWS Elastic Load Balancing can automatically distribute incoming application traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses, promoting application elasticity.
  • Health Monitoring
    It continually checks the health of the registered targets, ensuring that traffic is routed only to healthy instances.
  • Security
    Integrated with AWS's Certificate Manager and Application Load Balancer, allowing easy deployment of SSL/TLS for secure communication.
  • Flexibility
    Supports various types of load balancers: Application, Network, and Classic, each suited to different types of application architectures and requirements.
  • Cost-effective
    Pay-as-you-go pricing model ensures you only pay for the resources you use, which can lead to cost savings compared to a fixed-cost solution.
  • Integration
    Seamlessly integrates with other AWS services such as Auto Scaling, Route 53, CloudWatch, and more for a more robust solution.

Possible disadvantages of AWS Elastic Load Balancing

  • Complexity
    Initial setup and configuration can be complex, especially for users unfamiliar with AWS services and cloud architecture.
  • Cost
    While the pay-as-you-go model is cost-effective, the charges can ramp up quickly, especially for high-traffic applications.
  • Dependence on AWS Ecosystem
    Highly integrated with AWS services, making it less ideal for multi-cloud or hybrid cloud environments.
  • Latency
    In some cases, the load balancer can introduce a slight increase in latency, which might be a concern for latency-sensitive applications.
  • Configuration Limitations
    Some specific configurations and customizations may not be possible, leading to constraints on certain types of applications.

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.

AWS Elastic Load Balancing videos

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Apache Cassandra videos

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Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to AWS Elastic Load Balancing and Apache Cassandra)

AWS Elastic Load Balancing

Apache Cassandra

Web Servers
100 100%
Web Servers
0% 0
Databases
0 0%
Databases
100% 100
Web And Application Servers
100 100%
Web And Application Servers
0% 0
NoSQL Databases
0 0%
NoSQL Databases
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 AWS Elastic Load Balancing and Apache Cassandra

AWS Elastic Load Balancing Reviews

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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.
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

Social recommendations and mentions

Based on our record, Apache Cassandra should be more popular than AWS Elastic Load Balancing. 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.

AWS Elastic Load Balancing mentions (25)

  • Basic AWS Elastic Load Balancer Setup
    Load balancers can be categorized to different types depending on their use cases. On a broader classification, we can divide load balancers into three different categories based on how they are deployed. 1. Hardware load balancers - Dedicated physical appliances designed for high-performance traffic distribution. They are often used by large scale enterprises and data centers that require minimum latency and... - Source: dev.to / 6 months ago
  • Work Stealing: Load-balancing for compute-heavy tasks
    When a backend starts or stops, something needs to update, whether it’s Consul, kube-proxy, ELB, or otherwise. To stop a worker without incurring failures, you need to prevent the load balancer from sending new requests and then finishing existing ones. - Source: dev.to / 10 months ago
  • Load Balancers in AWS
    In this way, you can create a load balancer and custom rules using AWS Elastic Load Balancer. You can refer the official user guide to learn more about load balancing in AWS. - Source: dev.to / 11 months ago
  • A Ride Through Optimising Legacy Spring Boot Services For High Throughput
    Use load balancers and distribute load accordingly to your redundant spring boot services. - Source: dev.to / about 1 year ago
  • DevSecOps with AWS- Ephemeral Environments – Creating test Environments On-Demand - Part 1
    • Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. • AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. AWS Fargate is compatible with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic... - Source: dev.to / over 1 year ago
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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 / 28 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 / 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 AWS Elastic Load Balancing and Apache Cassandra, you can also consider the following products

nginx - A high performance free open source web server powering busiest sites on the Internet.

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

Traefik - Load Balancer / Reverse Proxy

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

Google Cloud Load Balancing - Google Cloud Load Balancer enables users to scale their applications on Google Compute Engine.

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

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