Name: Memcached
Author: Open Source

Customer Identity and Access Management (CIAM)

Help Desk

Web and Video Conferencing

Customer Support

Interactive Application Security Testing (IAST)

Development

Academic Advising

Online Learning

Education

Business Intelligence (BI)

Collaboration

File Sharing

Risk Management

Workspace Planning

Enterprise

Accounting

Digital Banking

Invoicing

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Configuration Management Databases

Data Collaboration

Data Lakehouse

Database Load Balancing

Enterprise Architecture Management

Fraud Detection

Hyper-Converged Infrastructure

IT Asset Disposal

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

License Management

MLOps

Managed IT Service

Network Monitoring

Network Performance Monitoring

Password Management System

Release Management

Secret Managers

Secure Email Gateway

Session Border Controllers

Virtual Private Cloud (VPC)

WiFi Hotspot

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Audience Intelligence

Content Management

Creative Collaboration

Demand Generation

Digital Content Creation

Email Marketing

Marketing Analytics

Marketing Automation

Online Proofing

Social Media Management

Social Media Marketing

Survey & Forms Building

Swag Management

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead-to-Account Matching and Routing

Sales Gamification

Sales

Video Surveillance

Security

Debt Collection

Equipment Rental

Laboratory Information Management

Membership Management

Real Estate

Vertical-Specific

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MongoDB

Amazon DynamoDB

Amazon AWS

IBM Cloudant

MySQL

Oracle

Apache HBase

Apache

Azure Cosmos DB

Microsoft

Google Cloud Datastore

Google

RavenDB

Google BigQuery

Redis Software

Hazelcast

Ehcache

Users have made several recommendations for using Memcached based on their experiences. The most common recommendations are as follows:

- It is important to watch tutorials before implementing the software.
- Security should be tied up in the configuration before going live.
- Users should use the latest version of memcached and be cautious about security.

These recommendations provide valuable insights from users who have experience with Memcached and can help others make informed decisions when using this software.

Memcached is a solution that has successfully tackled speed issues by utilizing the caching layer. It addresses the bottleneck problems for web applications by reducing the number of database queries needed to be performed. This results in massive performance boosts and faster load times for page and API loads. 

Users have reported improved performance in their web applications while using Memcached as a caching service for query results, user data, and report data. Additionally, the product offers automatic cache expiration timing, freeing up work from the database and network for fresher data fetched from Memcached. Furthermore, it has helped relieve data lookup bottlenecks caused by high latency of databases such as MySQL, resulting in highly efficient web applications that can serve multiple concurrent users. 

In production environments, Memcached is being used to cache numerous values such as authentication tokens to accelerate application speed with caching. Finally, it's being used as a sideline cache to prevent having to go back to the database for recently retrieved data due to its ease of implementation and maintenance.  Overall, users have praised Memcached as an extremely fast and reliable solution that solves speed issues, which can save businesses time and money by not having to invest in costly hardware or software alternatives.

Memcached is a free & open source (BSD license), distributed memory object caching system, generic in nature, but intended for use in speeding up dynamic web applications by alleviating database load.

MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.

Shared

Serverless

Dedicated

Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.

On-Demand - Write Operation

On-Demand Read Operation

On-Demand Data Stored

On-Demand Point-in-Time Recovery

On-Demand Snapshot

On-Demand Restoring a Backup

On-Demand Global Tables

On-Demand Streams

On-Demand Data Requests Outside AWS Regions

Provisioned - Write Operation

Provisioned - Read Operation

Provisioned - Data Stored

Provisioned - Point-in-Time Recovery

Provisioned - Snapshot

Provisioned - Restoring a Backup

Provisioned - Global Tables

Provisioned - Streams

Provisioned - Data Requests Outside AWS Regions

Memcached

Some cloud platforms offer options for using a database as a service, without physically launching a virtual machine instance for the database. In this configuration, application owners do not have to install and maintain the database on their own. Instead, the database service provider takes responsibility for installing and maintaining the database, and application owners pay according to their usage. For example, Amazon Web Services provides three database services as part of its cloud offering, SimpleDB, a NoSQL key-value store, Amazon Relational Database Service, an SQL-based database service with a MySQL interface, and DynamoDB.

NoSQL Databases

Open Source

NoSQL databases are designed to be used across large distrusted systems. They are notably much more scalable and much faster and handling very large data loads than traditional relational databases.

Performance

How fast the database performs under data load

Availability

Availability is the probability that the NoSQL database will be available to preform its function when called upon.

Concurrency

Concurrency is the ability for multiple processes to access or change shared data simultaneously. The greater the number of concurrent user processes that can execute without blocking each other, the greater the concurrency of the database system.

Security features include authentication against external security mechanisms liker LDAP, Windows Active Directory, and authorization or privilege management. Some NoSQL databases also support encryption.

Scalability

NoSQL databases are inherently more stable than relational databases and have built-in support for replication and partitioning of data to support scalability.

Data model flexibility

NoSQL databases do not rely on rely on tables, columns, rows, or schemas to organize and retrieve data,  but use use more flexible data models to accommodate the large volume and variety of data being generated by modern applications.

Deployment model flexibility

Can be deployed on-premise or in the cloud.

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Memcached

Overview

What is Memcached?