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Amazon Athena VS Application Load Balance

Compare Amazon Athena VS Application Load Balance and see what are their differences

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Amazon Athena logo Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.

Application Load Balance logo Application Load Balance

Automatically distribute incoming traffic across multiple targets using an Application Load Balancer.
  • Amazon Athena Landing page
    Landing page //
    2023-03-17
  • Application Load Balance Landing page
    Landing page //
    2023-01-05

Amazon Athena features and specs

  • Serverless
    Athena is serverless, which means there's no need to set up or manage any infrastructure. You can start querying data immediately without worrying about managing underlying servers.
  • Pay-as-you-go
    You only pay for the queries you run, and the cost is based on the amount of data scanned by the queries. This is cost-effective, especially for infrequent querying.
  • Scalable
    Athena scales automatically, enabling it to handle large datasets and concurrent queries efficiently, without manual intervention.
  • Integration with AWS ecosystem
    Athena integrates seamlessly with other AWS services like S3, Glue, and QuickSight, making it easy to build comprehensive data pipelines and analytics solutions.
  • Supports standard SQL
    Athena uses standard SQL for querying, which makes it easy for users familiar with SQL to get started quickly.
  • Quick to deploy
    Since there is no infrastructure to manage, you can start querying your data within minutes of setting up Athena.
  • Supports a variety of data formats
    Athena supports multiple data formats including CSV, JSON, ORC, Avro, and Parquet, providing flexibility in data ingestion and storage.

Possible disadvantages of Amazon Athena

  • Cost of scanning large datasets
    While the pay-as-you-go model is beneficial, querying large datasets frequently can become expensive.
  • Performance
    For very complex queries or extremely large datasets, Athena's performance might not match that of a dedicated data warehouse solution.
  • Limited built-in visualization
    Athena does not provide built-in data visualization tools, so you'll need to integrate with other services like QuickSight or third-party tools for visual analytics.
  • Learning curve for optimal usage
    Even though Athena supports SQL, optimizing performance and cost efficiency might require a good understanding of how Athena processes data.
  • Data preparation
    Data might require preprocessing or organization in a specific way for optimal performance with Athena, which could add to the setup time and complexity.
  • Cold start latency
    Athena can experience latency during query initiation, known as cold start latency, which can be an issue for time-sensitive analytics.

Application Load Balance features and specs

  • Layer 7 Processing
    Application Load Balancer operates at the application layer (Layer 7), allowing it to make routing decisions based on advanced content-based rules, such as the HTTP headers, request URL, and query string.
  • Advanced Routing
    ALB supports dynamic host-based and path-based routing, enabling requests to be dispatched to different backend services based on the URL pattern or the host domain, which is particularly useful for microservices architectures.
  • WebSocket and HTTP/2 Support
    Supports sticky sessions and WebSocket, allowing for long-lived sessions and bidirectional communication between clients and servers. It also supports HTTP/2, providing improved performance over HTTP/1.1.
  • Integrated Security Features
    ALB integrates with AWS WAF (Web Application Firewall) to secure applications and protect against common web exploits. It also supports TLS offloading, simplifying encryption management.
  • Monitoring and Logging
    Offers detailed CloudWatch metrics and logs to monitor traffic patterns, latency, and other critical operational details. This helps in proactively troubleshooting and optimizing performance.

Possible disadvantages of Application Load Balance

  • Complex Configuration
    Setting up and configuring ALB might be more complex compared to Network Load Balancers or Classic Load Balancers, especially with intricate routing and security rules.
  • Higher Costs
    Application Load Balancers can be more expensive due to advanced features and capabilities, particularly when handling high traffic levels, compared to simpler load balancing solutions.
  • Limited Protocol Support
    ALB is primarily designed for HTTP/HTTPS traffic and may not be suitable if your application needs to handle TCP/UDP-based protocols directly.
  • Performance Overhead
    Operating at Layer 7 can introduce slight latency due to the additional processing required for content-based routing and SSL termination.

Analysis of Amazon Athena

Overall verdict

  • Amazon Athena is a powerful and flexible tool for users who need a cost-effective, straightforward solution for querying and analyzing data stored in S3 without the overhead of managing servers. Its serverless architecture, scalability, and wide integration with other AWS services make it a reliable choice for quick data analytics tasks.

Why this product is good

  • Amazon Athena is a serverless query service that makes it easy to analyze large-scale datasets directly in Amazon S3 using standard SQL. It is especially advantageous because it is fully managed, meaning there is no need to set up or manage infrastructure. It automatically scales, so users only pay for the queries they run, making it cost-effective for intermittent data analysis tasks. Visualizing data becomes straightforward with its integration with AWS QuickSight or other BI tools. Additionally, its support for a wide range of data formats and ease of use through the AWS Management Console further enhance its appeal for data analysts and developers.

Recommended for

  • Data analysts and data scientists needing fast, ad-hoc querying capabilities.
  • Organizations looking to reduce costs associated with traditional data warehousing.
  • Developers and teams who want to integrate SQL-based data querying into their applications without backend infrastructure management.
  • Businesses using or planning to use AWS S3 for data storage and requiring analysis tools that seamlessly integrate within the AWS ecosystem.

Amazon Athena videos

+ Add

AWS Big Data: What is Amazon Athena?

More videos:

  • Review - Deep Dive on Amazon Athena - AWS Online Tech Talks
  • Review - Deep Dive on Amazon Athena - AWS Online Tech Talks

Application Load Balance videos

+ Add

AWS ALB | AWS Application Load Balancer | What is Application Load Balancer AWS | Intellipaat

More videos:

  • Review - Step by Step Instructions to setup Application Load Balancer | what is AWS Application Load Balancer

Category Popularity

0-100% (relative to Amazon Athena and Application Load Balance)

Amazon Athena

Application Load Balance

Databases
91 91%
Databases
9% 9
Cloud Computing
0 0%
Cloud Computing
100% 100
Database Management
100 100%
Database Management
0% 0
Cloud Hosting
0 0%
Cloud Hosting
100% 100

User comments

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Social recommendations and mentions

Application Load Balance might be a bit more popular than Amazon Athena. We know about 23 links to it since March 2021 and only 23 links to Amazon Athena. 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.

Amazon Athena mentions (23)

  • Vector: A lightweight tool for collecting EKS application logs with long-term storage capabilities
    In this article, we present an architecture that demonstrates how to collect application logs from Amazon Elastic Kubernetes Service (Amazon EKS) via Vector, store them in Amazon Simple Storage Service (Amazon S3) for long-term retention, and finally query these logs using AWS Glue and Amazon Athena. - Source: dev.to / about 1 month ago
  • Introducing Iceberg Table Engine in RisingWave: Manage Streaming Data in Iceberg with SQL
    However, Iceberg defines the storage format, leaving the complexities of data ingestion and processing, especially for real-time streams, to separate systems. While query engines like Trino or Athena excel with static datasets, they aren't designed for continuous, low-latency ingestion and transformation of streaming data into Iceberg. This often forces engineers to integrate multiple complex tools, increasing... - Source: dev.to / about 2 months ago
  • Deploying a Complete Machine Learning Fraud Detection Solution Using Amazon SageMaker : AWS Project
    SageMaker Feature Store keeps track of the metadata of stored features (e.g. Feature name or version number) so that you can query the features for the right attributes in batches or in real time using Amazon Athena , an interactive query service. - Source: dev.to / 7 months ago
  • Spatial Search of Amazon S3 Express One Zone Data with Amazon Athena and Visualized It in QGIS
    Prepare GIS data for use with Amazon Athena. This time, we created four types of sample data in QGIS in advance. - Source: dev.to / over 1 year ago
  • Enhancing AWS Athena Efficiency - Building a Python Athena Client
    If you have not heard about AWS Athena, I encourage you to take a look at this service. You can read more about it here. - Source: dev.to / over 1 year ago
View more

Application Load Balance mentions (23)

  • Authenticating users in the load balancer with Cognito
    Say that we have an application running behind a public-facing Application Load Balancer (ALB). The load balancer's target can be any supported target, including ECS containers, EC2 instances or even Lambda functions. Because the application is only available to authenticated users, we want to find a solution to identify them. - Source: dev.to / over 1 year ago
  • A Practical Guide To Deploying A Complex, Production Level, Three-tier Architecture On AWS
    The Load balancer is the entry point to the application. The Application Load Balancer, residing in the presentation layer, will route traffic through the AutoScaling Group to logic-tier instances residing in the logic layer. - Source: dev.to / about 2 years ago
  • The RoboNet Artificial Media Protocol - How a new internet protocol can make AI regulation more human
    Eg. AWS can have their Load Balancer tuned for OSI layer 7 rules for ramp content, exactly what everyone would need to redirect RAMP headers/signatures/etc straight into its proper routes/servers. Source: about 2 years ago
  • Creating Application Load Balancer rules for fast feature stack deployments
    The service in question uses ECS Fargate behind a private Application Load Balancer (ALB). The engineering team placed an HTTP API Gateway before the ALB that performs the authentication. - Source: dev.to / about 2 years ago
  • Introduction to Cloud Load-Balancers
    What is an Application Load Balancer? Https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Amazon Athena and Application Load Balance, you can also consider the following products

phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.

AWS Lambda - Automatic, event-driven compute service

SQLyog - Webyog develops MySQL database client tools. Monyog MySQL monitor and SQLyog MySQL GUI & admin are trusted by 2.5 million users across the globe.

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

Sequel Pro - MySQL database management for Mac OS X

Amazon RDS for PostgreSQL - PostgreSQL as a Service

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