# lakehouse architectures

Published articles for lakehouse architectures.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## Three insights on enterprise AI storage strategy

DevFeed: [Three insights on enterprise AI storage strategy](<https://devfeed.tech/articles/three-key-insights-you-may-have-missed-from-thecube-s-coverage-of-the-supermicro-open-storage-summit-interview-series-66421.md>)

Original publisher: [Read original article](<https://siliconangle.com/2026/10/06/ai-storage-strategy-three-insightgs-supermicro-summit-supermicroopenstoragesummit/>)

Author: Victoria Gayton

Published: 2026-10-06T19:43:15Z

Content type: article

Language: en

Sources: [SiliconANGLE](<https://devfeed.tech/sources/siliconangle.md>)

Topics: [data lake](<https://devfeed.tech/topics/data-lake.md>), [Data pipelines](<https://devfeed.tech/topics/data-pipelines.md>), [database-optimization](<https://devfeed.tech/topics/database-optimization.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [LVM](<https://devfeed.tech/topics/lvm.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-inference](<https://devfeed.tech/tags/ai-inference.md>), [ai-storage](<https://devfeed.tech/tags/ai-storage.md>), [ai-storage-strategy](<https://devfeed.tech/tags/ai-storage-strategy.md>), [ai-workflows](<https://devfeed.tech/tags/ai-workflows.md>), [amd](<https://devfeed.tech/tags/amd.md>), [anat-heilper](<https://devfeed.tech/tags/anat-heilper.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [cloudian](<https://devfeed.tech/tags/cloudian.md>), [crusoe](<https://devfeed.tech/tags/crusoe.md>), [cube-event-coverage](<https://devfeed.tech/tags/cube-event-coverage.md>), [data](<https://devfeed.tech/tags/data.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [ddn](<https://devfeed.tech/tags/ddn.md>), [greg-demichillie](<https://devfeed.tech/tags/greg-demichillie.md>), [greg-difraia](<https://devfeed.tech/tags/greg-difraia.md>), [hammerspace](<https://devfeed.tech/tags/hammerspace.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [ibm](<https://devfeed.tech/tags/ibm.md>), [iceberg-rest-catalog](<https://devfeed.tech/tags/iceberg-rest-catalog.md>), [intel](<https://devfeed.tech/tags/intel.md>), [iron-mountain](<https://devfeed.tech/tags/iron-mountain.md>), [kioxia](<https://devfeed.tech/tags/kioxia.md>), [kv-cache](<https://devfeed.tech/tags/kv-cache.md>), [lakehouse-architectures](<https://devfeed.tech/tags/lakehouse-architectures.md>), [minio](<https://devfeed.tech/tags/minio.md>), [minio-aistor](<https://devfeed.tech/tags/minio-aistor.md>), [moiz-kohari](<https://devfeed.tech/tags/moiz-kohari.md>), [news](<https://devfeed.tech/tags/news.md>), [nutanix](<https://devfeed.tech/tags/nutanix.md>), [open-formats](<https://devfeed.tech/tags/open-formats.md>), [peter-sjoberg](<https://devfeed.tech/tags/peter-sjoberg.md>), [rob-strechay](<https://devfeed.tech/tags/rob-strechay.md>), [ruhi-sehgal](<https://devfeed.tech/tags/ruhi-sehgal.md>), [supermicroopenstoragesummit](<https://devfeed.tech/tags/supermicroopenstoragesummit.md>), [thecube](<https://devfeed.tech/tags/thecube.md>)

### AI overview

The article distills three themes from the Supermicro Open Storage Summit interview series: tiered storage can support inference performance and cost goals; production AI needs workload-specific infrastructure and operational controls; and enterprise data needs accessible architectures, orchestration, and governance. It discusses storage tiers for growing data and key-value caches, integrated systems for production workloads, and open lakehouse formats such as Apache Iceberg.

### Source excerpt

AI storage strategy is taking on a larger role as enterprises move from successful experiments to systems that must deliver dependable business results. How organizations store, serve and manage data increasingly shapes the performance, cost and practicality of artificial intelligence deployments. The challenge extends beyond choosing faster hardware. Evolving workloads require enterprises to rethink how [...] The post Three key insights you may have missed from theCUBE's coverage of the Supermicro Open Storage Summit interview series appeared first on SiliconANGLE.

## Apache Iceberg vs Hudi: Key Features, Performance & Use Cases

DevFeed: [Apache Iceberg vs Hudi: Key Features, Performance & Use Cases](<https://devfeed.tech/articles/apache-iceberg-vs-hudi-key-features-performance-use-cases-81995.md>)

Original publisher: [Read original article](<https://estuary.dev/blog/apache-iceberg-vs-apache-hudi>)

Author: Dani Pálma

Published: 2024-12-03T19:34:17Z

Content type: comparison

Language: en

Sources: [Estuary](<https://devfeed.tech/sources/estuary.md>)

Topics: [Apache Iceberg](<https://devfeed.tech/topics/apache-iceberg.md>), [apache zeppelin](<https://devfeed.tech/topics/apache-zeppelin.md>), [data-engineering](<https://devfeed.tech/topics/data-engineering.md>), [parquet](<https://devfeed.tech/topics/parquet.md>), [Apache Flink](<https://devfeed.tech/topics/apache-flink.md>), [Apache Spark](<https://devfeed.tech/topics/spark.md>)

Tags: [analysis](<https://devfeed.tech/tags/analysis.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [apache-iceberg](<https://devfeed.tech/tags/apache-iceberg.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [batch-processing](<https://devfeed.tech/tags/batch-processing.md>), [big-data](<https://devfeed.tech/tags/big-data.md>), [change](<https://devfeed.tech/tags/change.md>), [data](<https://devfeed.tech/tags/data.md>), [data-lakehouse](<https://devfeed.tech/tags/data-lakehouse.md>), [hudi](<https://devfeed.tech/tags/hudi.md>), [lakehouse-architectures](<https://devfeed.tech/tags/lakehouse-architectures.md>)

### AI overview

This comparison explains how Apache Iceberg and Apache Hudi support data lakehouse architectures and differ in metadata design, ingestion, schema evolution, and read and write performance. It characterizes Hudi as suited to streaming ingestion and write-heavy workloads, while Iceberg is oriented toward batch processing and complex analytical queries.

### Source excerpt

Explore the key differences between Apache Iceberg vs Hudi for optimizing data lakehouse architectures and managing large datasets efficiently.