SQLite vs. Memcached vs. TokuMX

Used for testing.

Used on our client(s)

Gestor de base de datos para el almacenamiento de datos en aplicaciones móviles.

For smaller internal tools we build that requires easy local storage.

There's really no call for something heavier for this site. SQLite is simple, easy to use and quite reliable given its age.

DB backend, when required

Local DB on iOS devices

For V.1.0 all data is stored using phonegap SqliteStorage plugin,

We support SQLite databases so that developers can interact with their data.

Storage of data for both mobile apps and native apps

All the dynamic data (i.e.: jobs) is stored in a simple SQLite database.

Все динамические данные (вакансии) хранятся в простой SQLite БД.

Database for mobile development

Local Django unit testing

We build queries in PHP with DSQL that work with SQLite. We also have SQLite data controller, so that you can build SQLite-based models.

Datasource for CoreData

Used SQLite with Ghost for Blogging service, both are free.

SQLite is used in the Android application, to store data on the mobile

basic

Only on local projects, nothing in production :-)

Inline DB on clients and apps.

RDBTools is a self-hosted application, and it is important that the installation process is simple. With SQLite, we create a new database file for every analysis. Once the analysis is done, the SQLite file can be thrown away easily.

Mobile app local databases.

For support reasons not relay used

Implements the App Engine memcache API.

Caching in Rails apps.

Memcache caches database results and articles, reducing overall DB load and allowing seamless DB maintenance during quiet periods.

Used to cache most used files for our clients. Connected with CloudFlare Railgun Optimizer.

As part of the cacheing system within Drupal.

Memcached mainly took care of creating and rebuilding the REST API cache once changes had been made within Drupal.

Memcached is used as a simple page cache across the whole application.

Distributed cache exposed through Google App Engine APIs; use to stage fresh data (incoming and recently processed) for faster access in data processing pipeline.

Our caching needs

HTML page caching for high performances

キャッシュ

Shared object cache for sharded service backend.

Fragment caching.

Used as simple key-value cache store. To store query results etc.

Caching service.

Redis works just fine, we do not use this.