Abstract: Beneficial query parameterization of one or more databases may be automatically determined. Data associated with a workload of the one or more databases may be automatically gathered and accessed. The gathered data may then be automatically analyzed to determine whether query parameterization would be beneficial to the one or more databases. Based on the analysis one or more query parameterization recommendations may be generated for presentation to a user of the one or more databases. A user response associated with implementing at least one of the one or more query parameterization recommendations may then be received. Upon implementing at least one of the one or more recommendations, the at least one implemented recommendation may be automatically verified whether an expected improvement of the one or more databases has been realized. When the expected improvement has not been realized, the one or more databases may be reverted to a previous state.

Abstract: Beneficial query parameterization of one or more databases may be automatically determined. Data associated with a workload of the one or more databases may be automatically gathered and accessed. The gathered data may then be automatically analyzed to determine whether query parameterization would be beneficial to the one or more databases. Based on the analysis one or more query parameterization recommendations may be generated for presentation to a user of the one or more databases. A user response associated with implementing at least one of the one or more query parameterization recommendations may then be received. Upon implementing at least one of the one or more recommendations, the at least one implemented recommendation may be automatically verified whether an expected improvement of the one or more databases has been realized. When the expected improvement has not been realized, the one or more databases may be reverted to a previous state.

Abstract: A system that automatically formulates recommendations or suggestions for creating indexes on database entities that will improve the overall query performance of a database and/or collection of databases for those queries that target a database entity for which index creation is recommended. A gathering module gathers at least a portion of historical data automatically generated by the database or database collection. An index recommendation module uses the gathered historical data to generate recommended indexing tasks on the basis of estimated greatest impact on overall query performance. An index creation module then initiates an indexing task of the generated set of one or more recommended indexing tasks to thereby create at least one corresponding index on at least one corresponding database entity to thereby improve overall query performance on the database or database collection.