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AWS DataOps Development Kit VS Amazon Athena

Compare AWS DataOps Development Kit VS Amazon Athena and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

AWS DataOps Development Kit logo AWS DataOps Development Kit

An open source development framework to help you build data workflows and modern data architecture on AWS.

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.
  • AWS DataOps Development Kit Landing page
    Landing page //
    2023-07-25
  • Amazon Athena Landing page
    Landing page //
    2023-03-17

AWS DataOps Development Kit features and specs

No features have been listed yet.

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.

AWS DataOps Development Kit videos

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Amazon Athena videos

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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 AWS DataOps Development Kit and Amazon Athena)

AWS DataOps Development Kit

Amazon Athena

Data Stores
100 100%
Data Stores
0% 0
Databases
5 5%
Databases
95% 95
Big Data Tools
100 100%
Big Data Tools
0% 0
Database Management
0 0%
Database Management
100% 100

User comments

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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.

AWS DataOps Development Kit mentions (0)

We have not tracked any mentions of AWS DataOps Development Kit yet. Tracking of AWS DataOps Development Kit recommendations started around Jul 2022.

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 / 7 days 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 / 26 days 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 / 6 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
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What are some alternatives?

When comparing AWS DataOps Development Kit and Amazon Athena, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

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.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Sequel Pro - MySQL database management for Mac OS X

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