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. |
13 мая 2023 г. · Vectorized engines (big query, Databricks photon, snowflake) will give much better price/performance at scale vs presto/trino. That's why ... |
7 нояб. 2022 г. · So in Redshift, you can get a medium cluster and be 24h running intensive queries that it'll cost the same as if you are running queries for 3h. |
8 июн. 2023 г. · I tested Trino on EMR vs Athena with and without tables stored in the Iceberg format. The overall experience with Athena was much better. |
3 июл. 2023 г. · Redshift is a boomer database from the 00's when it forked from PostgreSQL 8.2 and it shows. In terms of a lift and shift it's probably the best choice. |
18 мая 2023 г. · Redshift is for fast SQL on big (1TB+) data. If you're competent enough to tune tables, vacuuming, queries, clusters, etc. If not, learn or ... |
26 сент. 2024 г. · Redshift Serverless on the other hand is more modern because it scales the zero by separating compute and storage. |
20 дек. 2023 г. · Redshift spectrum is not experimental, we are seeing consistent and comparable performance to athena even for concurrent requests. Only one ... |
6 апр. 2023 г. · I currently building a data lake using Trino as the SQL engine, but Apache Iceberg as the table format so we can replace Trino if required. |
1 дек. 2021 г. · I'm looking for some advice on whether or how data scientists use SQL query engines like Presto / Trino or Spark SQL? |
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