Software Alternatives, Accelerators & Startups

AWS Elastic Load Balancing VS ScaleArc

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

AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.

ScaleArc logo ScaleArc

ScaleArc offers database performance monitoring software for SQL server, MySQL & Oracle. Ensure zero downtime & database scalability with no app changes.
  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27
  • ScaleArc Landing page
    Landing page //
    2021-10-21

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.

ScaleArc features and specs

  • Improved Application Performance
    ScaleArc provides real-time query caching and load balancing, which helps in enhancing the performance of applications by reducing database load and improving query response times.
  • Zero Downtime Maintenance
    With ScaleArc, database administrators can perform maintenance activities like upgrades or failovers without causing downtime to applications, thanks to its seamless maintenance support.
  • Ease of Deployment
    ScaleArc can be installed between applications and databases without requiring any application-side changes, making the deployment process straightforward and less time-consuming.
  • Real-time Analytics and Monitoring
    It offers extensive monitoring and analytics tools that provide insights into database traffic and query performance, aiding in better management and optimization.
  • Compatibility
    ScaleArc is compatible with a variety of databases like MySQL, SQL Server, and Oracle, providing flexible support for diverse IT environments.

Possible disadvantages of ScaleArc

  • Cost
    The licensing and implementation costs of ScaleArc may be high for small to medium-sized enterprises, limiting its accessibility for businesses with tight budgets.
  • Complexity
    Despite ease of initial deployment, the configuration and management of ScaleArc can be complex, requiring skilled personnel to maintain and optimize its use effectively.
  • Learning Curve
    There is a significant learning curve associated with mastering ScaleArc’s extensive features and functionalities, which may require dedicated training for effective utilization.
  • Dependency
    Inserting ScaleArc into your architecture introduces a dependency on a third-party layer between applications and databases, which could become a potential point of failure or bottleneck if not managed correctly.
  • Performance Overhead
    While ScaleArc improves some aspects of database interaction, the additional layer it introduces can also cause some performance overhead, especially if not correctly optimized.

AWS Elastic Load Balancing videos

No AWS Elastic Load Balancing videos yet. You could help us improve this page by suggesting one.

Add video

ScaleArc videos

ScaleArc: How it Works - A Walkthrough

More videos:

  • Review - ScaleArc Overview: Enabling Consumer-Grade Apps
  • Review - Getting Started With ScaleArc

Category Popularity

0-100% (relative to AWS Elastic Load Balancing and ScaleArc)
Web Servers
90 90%
10% 10
Web And Application Servers
Load Balancer / Reverse Proxy
Network & Admin
78 78%
22% 22

User comments

Share your experience with using AWS Elastic Load Balancing and ScaleArc. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, AWS Elastic Load Balancing seems to be a lot more popular than ScaleArc. While we know about 25 links to AWS Elastic Load Balancing, we've tracked only 1 mention of ScaleArc. 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 / 9 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 / 10 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
View more

ScaleArc mentions (1)

  • DevOps: Top Trends & Challenges for Companies in 2021
    Most software development companies consider migrating their files and apps to the cloud. But not every company has implemented the necessary load balancer tools that shift traffic from on-premise databases to the cloud and ease the transition. Speaking of which…. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing AWS Elastic Load Balancing and ScaleArc, you can also consider the following products

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

Traefik - Load Balancer / Reverse Proxy

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

Haproxy - Reliable, High Performance TCP/HTTP Load Balancer

Azure Traffic Manager - Microsoft Azure Traffic Manager allows you to control the distribution of user traffic for service endpoints in different datacenters.

Barracuda Load Balancer ADC - Barracuda Load Balancer offers secure application delivery & load balancing.