11 мая 2022 г. · Redshift is a batch OLAP. Athena is is a federated query engine and basically stores nothing and needs to query all the time. RedShift is going ...

22 дек. 2021 г. · Athena is based on Presto, redshift on Postgres. Athena is well suited for Adhoc queries while Redshift serverless is more of a compete with snowflake and ...

11 февр. 2024 г. · What would be the best approach of storing the data should we continue using Athena or move it to others like redshift or other services?

28 янв. 2020 г. · Athena was significantly faster and also server less. It was great for ad-hoc querying (tested on 1B records) using simple joins and some basic ...

11 окт. 2017 г. · The real power of Redshift and Athena is through Spectrum. Giant fact table goes on S3, smaller (~millions of rows is small) dimension tables go in Redshift ...

1 янв. 2019 г. · I have a whole bunch of HTML files stored in S3, and I'd like to be able to query them for information that they contain.

19 апр. 2023 г. · Spark is going to be 10x slower than Redshift. Trino / Presto / Athena will be closer, but none can get the latency and throughput of Redshift.

14 сент. 2018 г. · While both are great means of analyzing data, each has its own advantages and disadvantages, and I wanted to discuss Redshift vs. Athena.

19 июл. 2023 г. · One of the benefits of dbt Cloud is a native orchestrator so you don't have to bother with setting up one of your own and it runs your models as ...

9 сент. 2020 г. · Quick question - does Redshift Spectrum allow you to run complex SQL queries while Athena allows you to use simple SQL queries?