Menu
Home
People
Places
Arts
History
Plants & Animals
Science
Life & Culture
Technology
Reference.org
Google Cloud Datastore
open-in-new
<p>Google Cloud Datastore is a <a href="/facts/NoSQL/vvynRKfd">NoSQL</a> database service provided by <a href="/facts/Google_Cloud_Platform/lPTNk7l6">Google Cloud Platform</a>. It is a fully managed <a href="/facts/Database/VYcpkevb">database</a> which can handle massive amounts of data and it is a part of the many services offered by Google Cloud Platform. It is designed to handle structured data (mostly document based like <a href="/facts/JSON/bs1rUAhd">JSON</a> format) and it also offers a high reliability and efficient platform to create scalable applications. Unlike traditional relational databases, this is a schema-less database concept. This gives flexible data modeling and dynamic schema changes without downtime in its services that rely on this database. Google Cloud Datastore is platform used for data handling on mobile apps, web applications, and also the IoT systems. This is because of its key characteristics such as automatic scaling, <a href="/facts/Strong_consistency/4cbcSQGc">strong consistency</a>, and smooth integration with other Google Cloud services. Google Cloud Datastore is built to handle software applications that are require high <a href="/facts/Database_scalability/48GTKykX">scalability</a>, low-latency reads and writes, and automatic management of data across <a href="/facts/Distributed_computing/o5nyhqTF">distributed systems</a>. Google Cloud Datastore organizes data in <a href="/facts/Entity%25E2%2580%2593relationship_model/U8A0mwYe">entities</a> and properties, where entities are grouped into kinds. This concept is similar to tables in relational databases, however since this is NoSQL database, it is without the <a href="/facts/Database_schema/DBq8fooY">schema</a> constraints. Each entity in Datastore is uniquely identified by a key. This key can have a custom user-defined identifier or it can be auto generated key by the system. </p><p>Google Cloud Datastore offers an API and client libraries for different types of general purpose programming languages, like Python, Java, and Node.js. This API also has different release versions of these languages, so that Cloud Datastore can be integrated with both legacy and modern apps written in these languages. It also provides support for <a href="/facts/Asynchrony_(computer_programming)/1cwyNFMu">asynchronous</a> operations. With this, developers can build non-blocking and highly responsive systems. In the context of data consistency, Google Cloud Datastore provides strong consistency for single entity lookups and supports <a href="/facts/Eventual_consistency/Un19vCr0">eventual consistency</a> for queries across multiple entities. </p>