How Logical Undo Logging and Constant-Time Recovery Transform Modern Databases

This article explains the principles of Logical Undo Logging, compares it with Physical Logging, and examines advanced recovery techniques such as SQL Server's Constant Time Recovery and the in‑memory database Silo's Force Recovery, highlighting their impact on concurrency, performance, and recovery latency.

Constant Time RecoveryDatabase RecoveryLogical Undo Logging

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How Logical Undo Logging and Constant-Time Recovery Transform Modern Databases

Architects' Tech Alliance

Jul 8, 2019 · Databases

Guidelines for Selecting In-Memory Databases and Corresponding Hardware

This article compares ten typical in‑memory databases, discusses their technical characteristics such as performance, ACID support and SQL compatibility, and provides comprehensive technical and non‑technical criteria as well as hardware recommendations for choosing the most suitable in‑memory database solution.

ConsistencySQL Compatibilitydatabase selection

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Guidelines for Selecting In-Memory Databases and Corresponding Hardware

ITPUB

Mar 4, 2016 · Databases

Debunking the Top 3 Myths About Modern In-Memory Databases

While in‑memory databases promise blazing speed, developers often overlook critical issues such as memory capacity limits, the complexities of moving from 32‑bit to 64‑bit architectures, and the constraints imposed by virtual memory and swap space, all of which can dramatically affect performance and scalability.

64-bit architectureVirtual Memorydatabase scalability

0 likes · 5 min read

Debunking the Top 3 Myths About Modern In-Memory Databases

Efficient Ops

Nov 29, 2015 · Big Data

Memory Computing vs Big Data: Trends, Platforms, and Architecture Choices

This article summarizes a WeChat group Q&A on the current momentum of in‑memory computing, compares TimesTen and SAP HANA, and offers practical advice on building enterprise big‑data platforms, covering cloud vs self‑build, talent, investment, and real‑world case studies.

Big Dataarchitecturein-memory databases

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Memory Computing vs Big Data: Trends, Platforms, and Architecture Choices

21CTO

Nov 11, 2015 · Cloud Computing

What 10 IT Trends Will Shape Enterprises in 2016?

The article outlines ten major IT trends for 2016—including the shift to application‑centric spending, DevOps acceleration, data lakes, analytics platform control, converged services, in‑memory databases, flash storage, and the evolving role of IT in the third platform—highlighting how enterprises must adapt to stay competitive.

DevOpsIT trendscloud computing

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What 10 IT Trends Will Shape Enterprises in 2016?