HDFS was built for a different era of data infrastructure — and its 3x replication model, tightly coupled compute-storage architecture, and specialized Hadoop APIs are increasingly at odds with the economics and tooling of modern data platforms. This product brief presents MinIO AIStor as the high-performance, cost-efficient replacement. Key benchmarks include 19.2 TiB/s throughput demonstrated at 1.0 EiB scale, sub-millisecond latency for object operations, and up to 60% cost reduction with 67% less storage overhead through erasure coding versus HDFS replication. AIStor's Kubernetes-native architecture and native S3 API compatibility unlock thousands of existing tools without custom integration work, while independent compute and storage scaling eliminates the overprovisioning waste that plagues Hadoop deployments.
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HDFS's 3x replication model imposes 67% more storage overhead than AIStor's erasure coding — and its tightly coupled architecture forces wasteful overprovisioning of both compute and storage.
MinIO AIStor delivers 19.2 TiB/s throughput at exabyte scale, sub-millisecond latency, and up to 60% cost reduction — meeting or exceeding HDFS performance while reducing total infrastructure cost.
AIStor's native S3 API and Kubernetes-native design enable non-disruptive HDFS migration, giving teams access to thousands of modern tools without the specialized Hadoop training HDFS requires.
Data platform engineers, Hadoop migration leads, and infrastructure architects responsible for modernizing legacy HDFS environments to S3-native, Kubernetes-ready storage.
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