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  2. Wide-column store - Wikipedia

    en.wikipedia.org/wiki/Wide-column_store

    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. A wide-column store can be interpreted as a two-dimensional key–value store. [1] Google's Bigtable is one of the prototypical examples of a wide-column store. [2]

  3. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    Bigtable is one of the prototypical examples of a wide-column store. It maps two arbitrary string values (row key and column key) and timestamp (hence three-dimensional mapping) into an associated arbitrary byte array. It is not a relational database and can be better defined as a sparse, distributed multi-dimensional sorted map.

  4. Comparison of object–relational database management systems

    en.wikipedia.org/wiki/Comparison_of_object...

    This is a comparison of object–relational database management systems (ORDBMSs). Each system has at least some features of an object–relational database ; they vary widely in their completeness and the approaches taken.

  5. Comparison of database administration tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_database...

    Some - can only reverse engineer the entire database at once and drops any user modifications to the diagram (can't "refresh" the diagram to match the database) Forward engineering - the ability to update the database schema with changes made to its entities and relationships via the ER diagram visual designer

  6. Comparison of structured storage software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_structured...

    Structured storage is computer storage for structured data, often in the form of a distributed database. [1] Computer software formally known as structured storage systems include Apache Cassandra , [ 2 ] Google 's Bigtable [ 3 ] and Apache HBase .

  7. 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]

  8. Data manipulation language - Wikipedia

    en.wikipedia.org/wiki/Data_manipulation_language

    In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).

  9. Object–relational database - Wikipedia

    en.wikipedia.org/wiki/Object–relational_database

    An object–relational database (ORD), or object–relational database management system (ORDBMS), is a database management system (DBMS) similar to a relational database, but with an object-oriented database model: objects, classes and inheritance are directly supported in database schemas and in the query language.

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