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  2. BigQuery - Wikipedia

    en.wikipedia.org/wiki/BigQuery

    BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011. [1]

  3. Google Cloud Datastore - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Datastore

    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. Native Mode is ...

  4. Dremel (software) - Wikipedia

    en.wikipedia.org/wiki/Dremel_(software)

    Dremel is a distributed system developed at Google for interactively querying large datasets.. Dremel is the query engine used in Google's BigQuery service. [1]Dremel is the inspiration for Apache Drill, [2] Apache Impala, [3] and Dremio, [4] an Apache licensed platform that includes a distributed SQL execution engine.

  5. Google Cloud Platform - Wikipedia

    en.wikipedia.org/wiki/Google_Cloud_Platform

    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.

  6. Data store - Wikipedia

    en.wikipedia.org/wiki/Data_store

    Data store can refer to a broad class of storage systems including: Paper files; Simple files like a spreadsheet; File systems; Email storage systems (both server and client systems) Databases. Relational databases, based on the relational model of data; Object-oriented databases. They can save objects of an object-oriented design. NoSQL ...

  7. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Examples of column-oriented formats include Apache ORC, [3] Apache Parquet, [4] Apache Arrow, [5] formats used by BigQuery, Amazon Redshift and Snowflake. Predominant examples of row-oriented formats include CSV, formats used in most relational databases , the in-memory format of Apache Spark , and Apache Avro .

  8. Cloud database - Wikipedia

    en.wikipedia.org/wiki/Cloud_database

    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.

  9. Wide-column store - Wikipedia

    en.wikipedia.org/wiki/Wide-column_store

    A wide-column store (or extensible record store) is a type of NoSQL database. [1] It uses tables, rows, and columns, but unlike a relational database, the names and format of the columns can vary from row to row in the same table.