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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 ...
The Search as a service framework is intended to provide developers with complex search capabilities for mobile and web development while hiding infrastructure requirements and search algorithm complexities. Azure Search is a recent addition to Microsoft's Infrastructure as a Service (IaaS) approach.
In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).
It is a full-text indexing and retrieval database, including time series analysis capabilities [6] [7] and regular expression evaluation and text parsing. [11] It is offered as platform as a service (PaaS) as part of Microsoft Azure platform. The product was announced by Microsoft in 2018.
Azure Search provides text search and a subset of OData's structured filters using REST or SDK APIs. Cosmos DB is a NoSQL database service that implements a subset of the SQL SELECT statement on JSON documents. Azure Cache for Redis is a managed implementation of Redis. StorSimple manages storage tasks between on-premises devices and cloud ...
Distributed document-oriented XML / JSON database platform with ACID-compliant transactions; high-availability data replication and sharding; built-in full-text search engine with relevance ranking; JS/SQL query language; GIS; Available as pay-per-use database as a service or as an on-premise free software download. Yes Couchbase Server ...
Generating or maintaining a large-scale search engine index represents a significant storage and processing challenge. Many search engines utilize a form of compression to reduce the size of the indices on disk. [20] Consider the following scenario for a full text, Internet search engine. It takes 8 bits (or 1 byte) to store a single character.
SQL Server 2008 also natively supports hierarchical data, and includes T-SQL constructs to directly deal with them, without using recursive queries. [19] The full-text search functionality has been integrated with the database engine. According to a Microsoft technical article, this simplifies management and improves performance.