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A multi-platform tool for code analysis and comprehension of large code bases. Can recognize multiple dialects of C, C++ and C# like ANSI, K&R and Objective C++. Visual Expert: 2021-09-10 No; proprietary — — — — — — PowerBuilder, Oracle PL/SQL, SQL Server Transact-SQL (T-SQL)
Arm MAP, a performance profiler supporting Linux platforms. AppDynamics, an application performance management solution [buzzword] for C/C++ applications via SDK. AQtime Pro, a performance profiler and memory allocation debugger that can be integrated into Microsoft Visual Studio, and Embarcadero RAD Studio, or can run as a stand-alone application.
Microsoft SQL Server Analysis Services (SSAS [1]) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server.SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.
Multi-server support: Yes - can manage from the same window/session multiple servers; Some - can manage from a different window/session multiple servers; Monitoring server: Yes - includes a headless server, that runs checks and reports failures
query or edit tables and views; Some tools also provide features to display dependencies among objects, and allow users to expand these dependent objects recursively (for example: packages may reference views, views generally reference tables, super/subtypes, and so on).
Database tuning describes a group of activities used to optimize and homogenize the performance of a database.It usually overlaps with query tuning, but refers to design of the database files, selection of the database management system (DBMS) application, and configuration of the database's environment (operating system, CPU, etc.).
Other MOLAP tools, particularly those that implement the functional database model do not pre-compute derived data but make all calculations on demand other than those that were previously requested and stored in a cache. Advantages of MOLAP. Fast query performance due to optimized storage, multidimensional indexing and caching.
The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans. [1] Generally, the query optimizer cannot be accessed directly by users: once queries are submitted to the database server, and parsed by the parser, they are then passed to the query optimizer where optimization ...