BestHub
Sign in
Tagged articles

In-Memory Database

121 articles · Page 2 of 2
Mike Chen's Internet Architecture
Mike Chen's Internet Architecture
Nov 29, 2018 · Databases

An Overview of Redis: Data Types, Features, Persistence, Clustering, and Use Cases

Redis is an open-source, in‑memory key‑value store written in C that supports multiple data structures, offers high‑performance caching, persistence via RDB and AOF, various clustering solutions such as Codis and native Redis Cluster, and is widely used for caching, ranking, session management, queues, and pub/sub.

CachingIn-Memory DatabaseMessage Queue
0 likes · 7 min read
An Overview of Redis: Data Types, Features, Persistence, Clustering, and Use Cases
Architect's Tech Stack
Architect's Tech Stack
Oct 23, 2018 · Databases

Redis Overview: Features, Data Types, Persistence, Clustering, and Common Interview Questions

This article provides a comprehensive introduction to Redis, covering its core concepts, advantages, data structures, persistence mechanisms, eviction policies, clustering, common usage scenarios, and typical interview questions for developers working with this high‑performance in‑memory key‑value store.

CacheClusteringIn-Memory Database
0 likes · 24 min read
Redis Overview: Features, Data Types, Persistence, Clustering, and Common Interview Questions
ITPUB
ITPUB
Sep 3, 2018 · Databases

Why Redis Leads Modern Key‑Value Stores: Features, Use Cases, and Performance

This article provides a comprehensive overview of Redis as a high‑performance, in‑memory key‑value store, explaining its data structures, persistence options, replication, benchmark results, and a wide range of real‑world scenarios where Redis excels over traditional databases.

In-Memory DatabaseKey-Value StorePerformance
0 likes · 12 min read
Why Redis Leads Modern Key‑Value Stores: Features, Use Cases, and Performance
Java Captain
Java Captain
Aug 22, 2018 · Databases

Understanding Redis: Why It Is So Fast and How Its Single‑Threaded Architecture Works

This article explains Redis’s core concepts, data structures, persistence options, and the reasons behind its exceptional speed—including in‑memory operations, simple data models, single‑threaded design, and efficient I/O multiplexing—while also covering common interview questions about caching and Redis’s threading model.

In-Memory DatabaseRedisinterview
0 likes · 10 min read
Understanding Redis: Why It Is So Fast and How Its Single‑Threaded Architecture Works
Java Backend Technology
Java Backend Technology
Jul 14, 2018 · Databases

Redis Deep Dive: Core Concepts, Data Types, and Best Practices

This comprehensive guide explains what Redis is, its advantages over memcached, supported data structures, eviction policies, clustering options, persistence mechanisms, memory optimization techniques, and practical use‑cases such as caching, queues, leaderboards, and pub/sub, providing essential knowledge for developers and architects.

ClusteringData StructuresIn-Memory Database
0 likes · 26 min read
Redis Deep Dive: Core Concepts, Data Types, and Best Practices
360 Tech Engineering
360 Tech Engineering
May 22, 2018 · Databases

Understanding Redis Rehash Mechanism and Implementation

This article explains how Redis uses a dual‑hashtable structure and a progressive rehash process to handle hash collisions, detailing the rehash conditions, migration steps, and performance implications for in‑memory key‑value storage.

In-Memory DatabasePerformanceRedis
0 likes · 6 min read
Understanding Redis Rehash Mechanism and Implementation
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Apr 14, 2018 · Backend Development

Designing a High‑Performance, Scalable Province‑Wide Toll Collection Platform

This case study details the architectural design, key requirements, major decisions, and deployment strategies used to build a province‑wide, networked toll collection system that achieves high availability, low‑latency queries, and efficient data management for millions of daily transactions.

In-Memory Databasesystem architecturetoll collection
0 likes · 18 min read
Designing a High‑Performance, Scalable Province‑Wide Toll Collection Platform
Java Backend Technology
Java Backend Technology
Mar 7, 2018 · Databases

Why Is Redis So Fast? Secrets of Its Speed and Single-Threaded Design

This article explains what Redis is, outlines its common data structures and persistence options, and delves into why Redis achieves exceptionally high performance through in‑memory storage, a single‑threaded event loop, multiplexed I/O, and simple data models, providing interview‑ready insights.

In-Memory DatabaseRedissingle-threaded
0 likes · 9 min read
Why Is Redis So Fast? Secrets of Its Speed and Single-Threaded Design
Efficient Ops
Efficient Ops
Jan 24, 2018 · Databases

Redis vs Memcached: Which In‑Memory Store Wins on Performance and Features?

Redis and Memcached are compared across network I/O models, supported data structures, memory management, persistence, consistency, and clustering, revealing Redis’s richer feature set and flexibility while highlighting Memcached’s simplicity and speed, helping developers choose the right in‑memory solution for their workloads.

In-Memory DatabaseMemcachedMemory Management
0 likes · 12 min read
Redis vs Memcached: Which In‑Memory Store Wins on Performance and Features?
Architecture Digest
Architecture Digest
Oct 26, 2017 · Databases

Redis Overview: Architecture, Master‑Slave Replication, Cluster Design, Persistence and Failure Handling

This article provides a comprehensive English overview of Redis, covering its in‑memory key‑value data model, master‑slave replication, cluster topology, installation steps, persistence mechanisms (RDB and AOF), consistency hashing, node failure detection, slave election, and the advantages and drawbacks of using Redis Cluster.

ClusteringIn-Memory DatabasePersistence
0 likes · 16 min read
Redis Overview: Architecture, Master‑Slave Replication, Cluster Design, Persistence and Failure Handling
ITPUB
ITPUB
Oct 11, 2017 · Databases

Redis vs Memcached: Which In‑Memory Store Wins for Your Needs?

This article compares Redis and Memcached across data‑type support, memory management, persistence mechanisms, and clustering features, highlighting their architectural differences, performance trade‑offs, and suitable use‑cases to help developers choose the right in‑memory storage solution.

CachingIn-Memory DatabaseMemcached
0 likes · 18 min read
Redis vs Memcached: Which In‑Memory Store Wins for Your Needs?
ITPUB
ITPUB
Sep 26, 2017 · Databases

Mastering Redis: Installation, Data Types, and Advanced Features Explained

This article provides a comprehensive guide to Redis, covering installation steps, core data structures such as strings, hashes, lists, sets and sorted sets, and advanced capabilities like pub/sub, transactions, pipelining, and persistence, plus practical client examples and a summary of its performance advantages.

Advanced FeaturesData TypesIn-Memory Database
0 likes · 12 min read
Mastering Redis: Installation, Data Types, and Advanced Features Explained
ITPUB
ITPUB
Apr 28, 2017 · Databases

Redis vs Memcached: In‑Depth Technical Comparison of Features, Performance, and Architecture

This article provides a comprehensive technical comparison between Redis and Memcached, covering server‑side operations, memory efficiency, performance characteristics, supported data types, memory management mechanisms, persistence options, and clustering architectures, illustrated with diagrams and concrete command examples.

CachingData StructuresIn-Memory Database
0 likes · 19 min read
Redis vs Memcached: In‑Depth Technical Comparison of Features, Performance, and Architecture
Architects' Tech Alliance
Architects' Tech Alliance
Feb 18, 2017 · Databases

Oracle TimesTen In-Memory Database: Architecture, Features, and Replication

Oracle TimesTen In-Memory Database, acquired by Oracle, offers a memory-optimized relational database with shared libraries, checkpointing, logging, and advanced replication options such as synchronous and asynchronous data replication, cache integration, and broad OS/CPU compatibility, positioning it as a high‑performance alternative to traditional RDBMS.

Cache ConnectDatabase ArchitectureIn-Memory Database
0 likes · 11 min read
Oracle TimesTen In-Memory Database: Architecture, Features, and Replication
Architecture Digest
Architecture Digest
Aug 16, 2016 · Databases

Redis Guide: Installation, Configuration, Data Structures, Persistence, and Advanced Features

This comprehensive Redis guide explains the in‑memory key‑value store’s installation, basic commands, configuration options, supported data structures, persistence mechanisms, replication, transactions, pub/sub, performance testing, connection handling, pipelining, and partitioning, providing practical examples for developers.

Data StructuresIn-Memory DatabasePub-Sub
0 likes · 27 min read
Redis Guide: Installation, Configuration, Data Structures, Persistence, and Advanced Features
MaGe Linux Operations
MaGe Linux Operations
Jul 15, 2015 · Databases

10 Essential Redis Best Practices Every Developer Should Follow

This article presents ten practical Redis tips—from avoiding the costly KEYS * command and using SCAN, to leveraging hashes, setting expirations, choosing proper eviction policies, handling errors, scaling with clusters, and ensuring high availability with Sentinel—helping developers optimize performance and reliability.

In-Memory DatabasePerformancebest practices
0 likes · 8 min read
10 Essential Redis Best Practices Every Developer Should Follow
MaGe Linux Operations
MaGe Linux Operations
Sep 11, 2014 · Databases

When to Use Each Redis Data Structure: Real‑World Scenarios Explained

This article reviews the five core Redis data structures—String, Hash, List, Set, and Sorted Set—detailing practical use‑cases such as caching, user profile storage, timelines, message queues, social graphs, and weighted rankings, plus a look at Pub/Sub and transaction features.

CachingData StructuresIn-Memory Database
0 likes · 7 min read
When to Use Each Redis Data Structure: Real‑World Scenarios Explained