Simplyblock Byte – Issue 2025-07/2
Table Of Contents
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ClickBench Results for Simplyblock With PostgreSQL and DuckDB (Up To 5,000x Improvement)
Can networked storage be as fast as local NVMe? Simplyblock proves it can!
We ran ClickBench with PostgreSQL and DuckDB, and it delivered strong throughput and low latency across read-heavy, write-heavy, and mixed workloads. The storage layer remained stable across every query pattern.
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Why Erasure Coding Matters for Data Durability
Protecting data starts with planning for failure. Erasure coding adds redundancy by splitting data into chunks and protecting them with parity information. This ensures that even if part of the system goes down, everything remains recoverable.
It’s how modern systems MUST protect against data loss and maintain fault tolerance.
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Scaling Without Limits with a True Scale-Out Architecture
Simplyblock’s scale-out architecture enables you to grow storage across nodes without encountering performance limits. Add capacity and throughput linearly, without costly reconfigurations or downtime. It’s designed for elastic growth from day one.
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How Distributed Storage Systems Handle Data at Scale
Distributed storage systems split data across servers so no single point holds it all. This boosts fault tolerance, speeds up access, and scales effortlessly as your data grows.
It is how today’s infrastructure keeps up with the increasing demand for data ingestion.
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What Makes Simplyblock’s MAUS Architecture Modular and Adaptive
MAUS combines modular design, adaptive scaling, unified storage access, and a shared-everything approach to maximize storage performance.
It’s engineered for flexibility and built to handle demanding workloads. No single point becomes a bottleneck, even as data grows.
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