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Amazon Redshift is AWS's fully managed cloud data warehouse for large-scale analytics and SQL-based business intelligence workloads.
Amazon Web Services added Iceberg materialized views to Redshift, so a result Redshift computes once can be read by Spark and Athena, a dev.to write-up says. Teams that copy shared metrics between engines with ETL jobs can retire those jobs only if the views stay fresh enough for their readers.
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Keeping the Iceberg table format governance-unaware was a deliberate call. That leaves the catalog as the only thing standing on the path of every read. A dev.to guide lists six pieces an operator has to source above it.
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AWS schedules compaction, snapshot expiration and orphan cleanup on table buckets itself, and a dev.to teardown finds that managed maintenance halts on any table carrying a user-defined tag or branch.
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A Savings Plan and a Reserved Instance buy the same discount ceiling. Only one of them follows your workload. The residual RI portfolio now comes down to Redshift nodes and OpenSearch.
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The engine stays in-process and MIT-licensed, so a vendored copy keeps working after the deal closes. What changes is who decides which storage paths get engineering attention, and the post names six AWS services.
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AWS says the DuckDB projects stay free and open under an independent foundation. The people who write them join AWS by early September, on terms nobody disclosed.
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