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Contabo Object Storage VS Amazon Athena

Compare Contabo Object Storage VS Amazon Athena and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Contabo Object Storage logo Contabo Object Storage

S3-compatible cloud object storage with unlimited, free transfer at a fraction of what others charge. Easy migration & predictable billing. Sign up now & save.

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.
  • Contabo Object Storage Contabo Object Storage Homepage
    Contabo Object Storage Homepage //
    2025-05-02
  • Amazon Athena Landing page
    Landing page //
    2023-03-17

Contabo Object Storage features and specs

  • S3-Compatible
    Compatible with Amazon S3 Standard
  • Always-On DDos Protection
    Automatic detection and mitigation of DDoS attacks
  • Guaranteed Redundancy
    Redundancy and End-to-End Encryption
  • High Performance and Speed
    High-speed throughput with low latency
  • Three Object Storage Regions
    Files and data are secured with guaranteed confidentiality at any of the three available Object Storage Regions (Europe/USA/Asia)

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.

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.

Contabo Object Storage videos

+ Add

How to set up and use Object Storage by Contabo I Step-by-step tutorial

More videos:

  • Tutorial - How to: Host a Static Website on Contabo Object Storage
  • Review - Setting Up Contabo Object Storage On #Vironeer Applications

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

Category Popularity

0-100% (relative to Contabo Object Storage and Amazon Athena)

Contabo Object Storage

Amazon Athena

Cloud Storage
100 100%
Cloud Storage
0% 0
Databases
0 0%
Databases
100% 100
Object Storage
100 100%
Object Storage
0% 0
Database Management
0 0%
Database Management
100% 100

User comments

Share your experience with using Contabo Object Storage and Amazon Athena. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Amazon Athena seems to be more popular. It has been mentiond 23 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.

Contabo Object Storage mentions (0)

We have not tracked any mentions of Contabo Object Storage yet. Tracking of Contabo Object Storage recommendations started around May 2025.

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

What are some alternatives?

When comparing Contabo Object Storage and Amazon Athena, you can also consider the following products

Wasabi Cloud Object Storage - Storage made simple. Faster than Amazon's S3. Less expensive than Glacier.

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

Hetzner Object Storage - Scalable object storage, S3-compatible and ideal for growing data volumes. Secure and flexible for efficient data storage.

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.

IONOS Object Storage - IONOS Object Storage is a convenient, affordable and compliant way to store any amount of static company data. Pay only for what you use.

Sequel Pro - MySQL database management for Mac OS X

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