Project
Trino is an open-source distributed SQL query engine for fast analytics across data lakes, warehouses, and other sources without moving data.
Iceberg 1.11.0 ships a File Format API that sends Spark, Flink, Hive and plain-Java reads and writes through one registry of format models. A dev.to walkthrough says the file format list stays fixed, so Vortex and Lance still need a change inside Iceberg.
Reality
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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Apache Iceberg's REST Catalog spec now lets a catalog return per-user row filters and nine column actions for a trusted engine to enforce, Databricks says. Policies that need subqueries or lookup tables do not fit that vocabulary, so the portability covers simple rules running on engines a deployment already trusts.
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Reviewers logged 10,991 passing tests on Iceberg's first 1.12.0 candidate before rejecting it over two vendored web files. The change most likely to break a downstream build is a removed partition-statistics helper.
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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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A dev.to post argues that Snowflake-managed Iceberg tables let you keep the managed engine while owning the Parquet in your own bucket. The same post says the catalog stays Snowflake's, and that 50,000-inserts-per-second ingest should not move.
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A GCP walkthrough put Spark, Trino and BigQuery on the same orders table through Google's Iceberg REST catalog. The 409 ConflictException it logged is the part of the demo a production pipeline has to plan for.
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Athena blocked the system catalog when it appeared in the query text and resolved it anyway when the same name arrived in QueryExecutionContext. AWS closed the gap in four days. One writeup is the only account of it.
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A new Iceberg REST Catalog addition lets the catalog evaluate policy for one principal and return nine column actions plus row filters for a trusted engine to apply, while the spec leaves establishing that trust to the deployment.
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A distinct-value sketch is thousands of bytes and a delete bitmap has no fixed size, which is why Iceberg keeps both in a separate file, and why a bad join plan is a statistics problem rather than a rewriting one.
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Adyen traced sandbox setup failures on its big data clusters to a garbage collector that walks every tracked connection in order, which turns the table-size knob you raised for headroom into part of the fault.
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A dev.to writeup reduces the storage choice to a property test on the calling code. The part worth arguing about is when each wrong answer shows up: on the first query, or at 10 million files.
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Anywhere Cloud promises governed agent access to data in public cloud, on-prem, sovereign and edge environments. The supporting evidence is Cloudera's own survey, and no pricing or customers are disclosed.
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