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Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft. It is designed to provide high availability, scalability, and low-latency access to data for modern applications.
Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built. [2]
Azure SQL Database works to create, scale, and extend applications into the cloud using Microsoft SQL Server technology. It also integrates with Active Directory, Microsoft System Center, and Hadoop. [27] Azure Synapse Analytics is a fully managed cloud data warehouse. [28] [29]
Database name Language implemented in Notes Apache Doris Java & C++ Open source (since 2017), database for high-concurrency point queries and high-throughput analysis. Apache Druid: Java Started in 2011 for low-latency massive ingestion and queries. Support and extensions available from Imply Data. Apache Kudu: C++
In computer programming, create, read, update, and delete (CRUD) are the four basic operations (actions) of persistent storage. [1] CRUD is also sometimes used to describe user interface conventions that facilitate viewing, searching, and changing information using computer-based forms and reports .
Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include: Learning of the host app's data access patterns, adaptive performance tuning, and automatic improvements to reliability and data protection.
Apache Synapse, open source enterprise service bus (ESB) and mediation engine; Azure Synapse, a fully managed cloud data warehouse; Peltarion Synapse, a component-based integrated development environment for neural networks and adaptive systems; Synapse (software), a free and open-source application launcher for Linux
Output is typically stored in a read-only database, with updates completely replacing existing precomputed views. [3]: 18 By 2014, Apache Hadoop was estimated to be a leading batch-processing system. [5] Later, other, relational databases like Snowflake, Redshift, Synapse and Big Query were also used in this role.