Project
AWS Glue is Amazon's serverless data integration service, offering ETL job orchestration, a managed Data Catalog, and Apache Spark-based processing.
Dropping three driver-side rewrite passes and one Step Functions wave produced most measured savings in a Glue pipeline's 56% runtime cut. An unindexed Oracle partition and a driver memory ceiling show where more concurrency stops helping.
Reality
Apache Iceberg's Rust REST client, iceberg-catalog-rest 0.10.1, implements 13 of 25 tested catalog operations and logs in to five of seven catalogs. The two it cannot log in to are AWS Glue and S3 Tables, and reaching them from Rust means a different crate with a different operation set.
Reality
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.
Reality
A read-only MCP server with four Iceberg tools ran against six live catalogs off a single environment variable. Three of the tools worked on pyiceberg alone, and the fourth needed a storage package for the object store.
Reality
A step-by-step build of the same Apache Iceberg data agent on Google ADK, AWS Strands and Microsoft Agent Framework measures what a cloud move costs in code, in latency and in storage wiring.
Reality
At Dreamforce 2026 the company said Model Context Protocol will carry its context and actions into both hyperscalers' agent products, while AWS agents move into Slack. The connector work becomes a scoping job.
Reality
A dev.to walkthrough puts a quantized Llama 3.2 3B on up to 10,000 concurrent Lambdas and writes a million daily briefings for $48. The timing math is internally consistent. The per-GB-second price behind the $48 is unstated.
Reality
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.
Reality
Two new SageMaker Feature Store APIs retire a per-record call loop and a tier where lost identifiers meant lost data. The batch write asks you to reconcile partial failures yourself, and the entry cap still sets a request floor.
Reality
Panasonic Avionics put a three-layer agent pipeline over an existing AWS data lake to compress hours of manual log correlation. The copyable piece is the normalization, not the agents.
Reality
AWS cut Glue pricing 30% and shipped full Iceberg v3, but the rate follows the version string, and its own two announcement posts do not agree on which Python you will be running.
Reality