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Microsoft SQL Server VS AWS Elastic Load Balancing

Compare Microsoft SQL Server VS AWS Elastic Load Balancing and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Microsoft SQL Server logo Microsoft SQL Server

Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.

AWS Elastic Load Balancing logo AWS Elastic Load Balancing

Amazon ELB automatically distributes incoming application traffic across multiple Amazon EC2 instances in the cloud.
  • Microsoft SQL Server Landing page
    Landing page //
    2023-01-17
  • AWS Elastic Load Balancing Landing page
    Landing page //
    2023-04-27

Microsoft SQL Server features and specs

  • Performance
    Microsoft SQL Server offers high performance and efficient database management capabilities, optimized for both OLTP (Online Transaction Processing) and OLAP (Online Analytical Processing).
  • Security Features
    SQL Server comes with advanced security features such as encryption, data masking, and advanced threat protection to ensure data integrity and privacy.
  • Scalability
    The server supports horizontal and vertical scaling to accommodate growing amounts of data and increasing number of users.
  • Integration with Microsoft Ecosystem
    Seamless integration with other Microsoft products such as Azure, Power BI, and Visual Studio, making it a versatile choice for businesses already using Microsoft services.
  • Ease of Use
    The server provides a user-friendly interface and helpful tools such as SQL Server Management Studio (SSMS) for database maintenance and management.
  • Comprehensive Support
    Microsoft offers extensive support and documentation, along with a strong community that provides additional resources and insights.

Possible disadvantages of Microsoft SQL Server

  • Cost
    Licensing and operational costs can be high, especially for larger enterprises, making it a significant investment.
  • Complexity
    Initial setup and configuration can be complex, often requiring expert knowledge to deploy and maintain effectively.
  • Resource Intensive
    The server can be resource-heavy, requiring significant hardware and computational resources to run efficiently, especially for larger databases.
  • Limited Cross-Platform Support
    Although improvements have been made, SQL Server is primarily optimized for Windows environments, which can limit its use in cross-platform scenarios.
  • Proprietary Software
    Being a proprietary software solution, it lacks the flexibility and cost benefits that come with open-source alternatives.
  • Updates and Patches
    Frequent updates and patches can sometimes disrupt service, requiring periodic maintenance that could result in downtime.

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.

Microsoft SQL Server videos

What is Microsoft SQL Server?

AWS Elastic Load Balancing videos

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Category Popularity

0-100% (relative to Microsoft SQL Server and AWS Elastic Load Balancing)
Databases
100 100%
0% 0
Web Servers
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Web And Application Servers

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Microsoft SQL Server and AWS Elastic Load Balancing

Microsoft SQL Server Reviews

20 Best SQL Management Tools in 2020
It is a SQL management tool for analysing the differences in Microsoft SQL Server database structures. It allows comparing database objects like tables, columns, indexes, foreign keys, schemas, etc.
Source: www.guru99.com

AWS Elastic Load Balancing Reviews

We have no reviews of AWS Elastic Load Balancing yet.
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Social recommendations and mentions

Based on our record, AWS Elastic Load Balancing should be more popular than Microsoft SQL Server. It has been mentiond 25 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.

Microsoft SQL Server mentions (5)

  • Cloud provider comparison 2024: VM Performance / Price
    Azure is the #2 overall Cloud provider and, as expected, it's the best choice for most Microsoft/Windows-based solutions. That said, it does offer many types of Linux VMs, with quite similar abilities as AWS/GCP. - Source: dev.to / 9 months ago
  • Amdocs, NVIDIA and Microsoft Azure build custom LLMs for telcos
    Amdocs has partnered with NVIDIA and Microsoft Azure to build custom Large Language Models (LLMs) for the $1.7 trillion global telecoms industry. Source: over 1 year ago
  • Windows Azure: Microsoft's crown jewel
    You can utilise various tools on the platform to significantly improve your IT performance. Due to its flexibility, even official recommendations for Azure might need to be clarified and easier to comprehend. Simply put, Azure (formerly Windows Azure) is Microsoft's cloud computing operating system. Source: almost 2 years ago
  • From developer to (solutions) architect. A simple guide.
    This is not to say there aren't architects still working on premise in self managed environments, but if you're planning to join the forces, you probably want to have an idea of who are the 3 public cloud providers (AWS, Azure and GCP), and their offering and topology. - Source: dev.to / almost 4 years ago
  • Can You Learn AWS (And Get Certified) With No Experience? e.g. No IT background or degree
    Right now, AWS couldn’t be a better choice. AWS has been for many years—and continues to be—the market leader between all the cloud platforms. Whilst the competitors like GCP and Azure are catching up, they’ve still not toppled AWS which continues to be, by far, the biggest cloud provider. - Source: dev.to / about 4 years ago

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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What are some alternatives?

When comparing Microsoft SQL Server and AWS Elastic Load Balancing, you can also consider the following products

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

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

Traefik - Load Balancer / Reverse Proxy

MariaDB - An enhanced, drop-in replacement for MySQL

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