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Airpal

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71
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Amazon Athena

489
772
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47
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Airpal vs Amazon Athena: What are the differences?

Airpal: Web UI for PrestoDB, by Airbnb. A web-based query execution tool built on top of Facebook's PrestoDB; Amazon Athena: Query S3 Using SQL. 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.

Airpal can be classified as a tool in the "Database Tools" category, while Amazon Athena is grouped under "Big Data Tools".

Airpal is an open source tool with 2.54K GitHub stars and 437 GitHub forks. Here's a link to Airpal's open source repository on GitHub.

Advice on Airpal and Amazon Athena

Hi all,

Currently, we need to ingest the data from Amazon S3 to DB either Amazon Athena or Amazon Redshift. But the problem with the data is, it is in .PSV (pipe separated values) format and the size is also above 200 GB. The query performance of the timeout in Athena/Redshift is not up to the mark, too slow while compared to Google BigQuery. How would I optimize the performance and query result time? Can anyone please help me out?

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Replies (4)

you can use aws glue service to convert you pipe format data to parquet format , and thus you can achieve data compression . Now you should choose Redshift to copy your data as it is very huge. To manage your data, you should partition your data in S3 bucket and also divide your data across the redshift cluster

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Carlos Acedo
Data Technologies Manager at SDG Group Iberia · | 5 upvotes · 179.3K views
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Amazon RedshiftAmazon Redshift

First of all you should make your choice upon Redshift or Athena based on your use case since they are two very diferent services - Redshift is an enterprise-grade MPP Data Warehouse while Athena is a SQL layer on top of S3 with limited performance. If performance is a key factor, users are going to execute unpredictable queries and direct and managing costs are not a problem I'd definitely go for Redshift. If performance is not so critical and queries will be predictable somewhat I'd go for Athena.

Once you select the technology you'll need to optimize your data in order to get the queries executed as fast as possible. In both cases you may need to adapt the data model to fit your queries better. In the case you go for Athena you'd also proabably need to change your file format to Parquet or Avro and review your partition strategy depending on your most frequent type of query. If you choose Redshift you'll need to ingest the data from your files into it and maybe carry out some tuning tasks for performance gain.

I'll recommend Redshift for now since it can address a wider range of use cases, but we could give you better advice if you described your use case in depth.

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Alexis Blandin
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Amazon AthenaAmazon Athena

It depend of the nature of your data (structured or not?) and of course your queries (ad-hoc or predictible?). For example you can look at partitioning and columnar format to maximize MPP capabilities for both Athena and Redshift

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Recommends

you can change your PSV fomat data to parquet file format with AWS GLUE and then your query performance will be improved

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Pros of Airpal
Pros of Amazon Athena
    Be the first to leave a pro
    • 15
      Use SQL to analyze CSV files
    • 8
      Glue crawlers gives easy Data catalogue
    • 7
      Cheap
    • 5
      Query all my data without running servers 24x7
    • 4
      No data base servers yay
    • 3
      Easy integration with QuickSight
    • 2
      Query and analyse CSV,parquet,json files in sql
    • 2
      Also glue and athena use same data catalog
    • 1
      No configuration required
    • 0
      Ad hoc checks on data made easy

    Sign up to add or upvote prosMake informed product decisions

    - No public GitHub repository available -

    What is Airpal?

    A web-based query execution tool built on top of Facebook's PrestoDB.

    What is 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.

    Need advice about which tool to choose?Ask the StackShare community!

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    Blog Posts

    Aug 28 2019 at 3:10AM

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    Jul 2 2019 at 9:34PM

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    Google AnalyticsAmazon S3New Relic+25
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