Block vs. Object Storage: A Deep Dive Into the Foundation of Modern Data, and Ho

<h2> Three kinds of storage, and why it matters </h2> <p>"Just store the file" turns out to have three very different answers in the cloud, and picking the wrong one is a classic,

<p>For a decade, the file format layer was the most settled real estate in data. Apache Parquet held the analytical world, ORC held the Hive legacy estates, and the interesting

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<h2> Introduction </h2> <p>It's Black Friday. In the space of a single second, your e-commerce platform processes 4,000 orders, updates inventory counts, triggers fulfillment

<p>SeaweedFS and RustFS are both Apache 2.0, single-binary stores, but they solve different problems. SeaweedFS is a distributed file system that also speaks S3, with a 16-byte

<p>Object storage is not a database. It stores bytes under keys. Yet it can serve as a database-like control-plane store when the workload fits a narrow set of contracts. The

<p>Here is a fact that surprises almost everyone the first time they hear it: in a data lakehouse, deleting a single row is one of the hardest things you can do.</p> <p>Inserting

<p><em>There are two ways to run a data lake. You can manage every table by hand — writing Airflow DAGs, scheduling Spark compaction jobs, building monitoring dashboards, and