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  2. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    Changes are persisted by Cosmos DB, which makes it possible to request changes from any point in time since the creation of the container. A "Time to Live" (or TTL) can be specified at the container level to let Cosmos DB automatically delete items after a certain amount of time expressed in seconds. This countdown starts after the last update ...

  3. Connection pool - Wikipedia

    en.wikipedia.org/wiki/Connection_pool

    Conversely, many mainstream NoSQL databases, like Azure Cosmos DB and Amazon DynamoDB, utilize stateless, HTTP-based protocols that handle each request independently. This architecture often reduces the need for traditional connection pooling, though reusing established connections can still offer performance benefits in high-throughput ...

  4. Embedded database - Wikipedia

    en.wikipedia.org/wiki/Embedded_database

    Sybase's Advantage Database Server (ADS) is an embedded database management system. It provides both Indexed Sequential Access Method (ISAM) and relational data access and is compatible with multiple platforms including Windows, Linux, and Netware. It is available as a royalty-free local file-server database or a full client-server version.

  5. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    A database shard, or simply a shard, is a horizontal partition of data in a database or search engine. Each shard may be held on a separate database server instance, to spread load. Some data in a database remains present in all shards, [a] but some appears only in a single shard. Each shard acts as the single source for this subset of data.

  6. 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 ...

  7. Replication (computing) - Wikipedia

    en.wikipedia.org/wiki/Replication_(computing)

    In multi-master replication (also called multi-leader), updates can be submitted to any database node, which then propagate to other servers. This approach is particularly beneficial in multi-data center deployments, where it enables local write processing while masking inter-data center network latency. [ 1 ]

  8. List of interface bit rates - Wikipedia

    en.wikipedia.org/wiki/List_of_interface_bit_rates

    Another factor reducing throughput is deliberate policy decisions made by Internet service providers that are made for contractual, risk management, aggregation saturation, or marketing reasons. Examples are rate limiting, bandwidth throttling, and the assignment of IP addresses to groups. These practices tend to minimize the throughput ...

  9. 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 ...