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Google Cloud Datastore (Cloud Datastore) is a highly scalable, fully managed NoSQL database service offered by Google on the Google Cloud Platform. [1] Cloud Datastore is built upon Google's Bigtable and Megastore technology. [2] Google Cloud Datastore allows the user to create databases either in Native or Datastore Mode.
Bigtable development began in 2004. [1] It is now used by a number of Google applications, such as Google Analytics, [2] web indexing, [3] MapReduce, which is often used for generating and modifying data stored in Bigtable, [4] Google Maps, [5] Google Books search, "My Search History", Google Earth, Blogger.com, Google Code hosting, YouTube, [6] and Gmail. [7]
Eucalyptus (free and open-source alternative to the Amazon Elastic Compute Cloud) AppScale (cloud computing-framework and free and open-source alternative to Google App Engine) Python (programming language) LEMP/LNMP [12] Linux (operating system) Nginx (web server) MySQL or MariaDB (database management systems) Perl, PHP, or Python (scripting ...
A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.
SQLite is a software library that implements a self-contained, server-less, zero-configuration, transactional SQL database engine. SQLite is the most widely deployed SQL database engine in the world. The source code, chiefly C, for SQLite is in the public domain. It includes both a native C library and a simple command line client for its database.
Google Cloud Platform is a part [8] of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and ChromeOS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.
A file is a series of bytes that is managed by a file system. Thus, any database or file is a series of bytes that, once stored, is called a data store. MATLAB [2] and Cloud Storage systems like VMware, [3] Firefox OS [4] use datastore as a term for abstracting collections of data inside their respective applications.
Google Cloud SQL [19] can be used for App Engine applications requiring a relational MySQL compatible database backend. [ 20 ] Per-day and per-minute quotas place restrictions on bandwidth and CPU use, number of requests served, number of concurrent requests, and calls to the various APIs.