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  2. Microsoft Azure SQL Database - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

    Azure SQL Database is built on the foundation of the SQL server database and therefore, kept in sync with the latest version [2] of it by using the common code base. Since the cloud version of the database technology strives to decouple it from the underlying computing infrastructure, it doesn't support some of the context specific T-SQL ...

  3. Very large database - Wikipedia

    en.wikipedia.org/wiki/Very_large_database

    Should an increase in database size cause the number of accessors of the database to increase then more server and network resources may be consumed, and the risk of contention will increase. Some solutions to regaining performance include partitioning, clustering, possibly with sharding, or use of a database machine. [23]: 390 [24]

  4. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    In Azure Data Explorer, unlike a typical relational database management systems (RDBMS), there are no constraints like key uniqueness, primary and foreign key. [26] The necessary relationships are established at the query time. [27] The data in Azure Data Explorer generally follows this pattern: [28] Creating Database, Ingesting data, Query the ...

  5. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Max DB size Max table size Max row size Max columns per row Max Blob/Clob size Max CHAR size Max NUMBER size Min DATE value Max DATE value Max column name size Informix Dynamic Server: ≈0.5 YB 12: ≈0,5YB 12: 32,765 bytes (exclusive of large objects) 32,765 4 TB 32,765 14: 10 125 13: 01/01/0001 10: 12/31/9999 128 bytes Ingres: Unlimited ...

  6. Database administration - Wikipedia

    en.wikipedia.org/wiki/Database_administration

    Microsoft Azure launched a similar automated database as a service in 2010, with SQL Azure, providing automated backups, with geo-replication and high availability. The introduction of docker (software) containers has enhanced support for fast delivery of containerized database instances, and both Amazon Web Services and Microsoft Azure have ...

  7. HeidiSQL - Wikipedia

    en.wikipedia.org/wiki/HeidiSQL

    View all databases on the server, connect to a single database to work with its tables and data; View connected databases' total and table size in KB/MB/GB within the database/table tree structure; Create new, alter existing databases' name, character set and collation, drop (delete) databases; Tables, views, procedures, triggers and events

  8. Database normalization - Wikipedia

    en.wikipedia.org/wiki/Database_normalization

    Genre Name Beginning MySQL Database Design and Optimization Hardcover Chad Russell American 49.99 520 Thick Apress USA 1 Tutorial Beginning MySQL Database Design and Optimization E-book Chad Russell American 22.34 520 Thick Apress USA 1 Tutorial The Relational Model for Database Management: Version 2 E-book E.F.Codd British 13.88 538 Thick

  9. Bigtable - Wikipedia

    en.wikipedia.org/wiki/Bigtable

    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]