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2. Trino (SQL query engine) - Wikipedia

   en.wikipedia.org/wiki/Trino_(SQL_query_engine)

   Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...

3. Query optimization - Wikipedia

   en.wikipedia.org/wiki/Query_optimization

   Query plans for nested SQL queries can also be chosen using the same dynamic programming algorithm as used for join ordering, but this can lead to an enormous escalation in query optimization time. So some database management systems use an alternative rule-based approach that uses a query graph model.

4. Toad (software) - Wikipedia

   en.wikipedia.org/wiki/Toad_(software)

   Toad is a database management toolset from Quest Software for managing relational and non-relational databases using SQL aimed at database developers, database administrators, and data analysts. The Toad toolset runs against Oracle, SQL Server, IBM DB2 (LUW & z/OS), SAP and MySQL. A Toad product for data preparation supports many data platforms.

5. Presto (SQL query engine) - Wikipedia

   en.wikipedia.org/wiki/Presto_(SQL_query_engine)

   Presto (including PrestoDB, and PrestoSQL which was re-branded to Trino) is a distributed query engine for big data using the SQL query language. Its architecture allows users to query data sources such as Hadoop, Cassandra, Kafka, AWS S3, Alluxio, MySQL, MongoDB and Teradata, [1] and allows use of multiple data sources within a query.

6. Query rewriting - Wikipedia

   en.wikipedia.org/wiki/Query_Rewriting

   Query rewriting is a typically automatic transformation that takes a set of database tables, views, and/or queries, usually indices, often gathered data and query statistics, and other metadata, and yields a set of different queries, which produce the same results but execute with better performance (for example, faster, or with lower memory use). [1]

7. Query plan - Wikipedia

   en.wikipedia.org/wiki/Query_plan

   Some query tools can generate embedded hints in the query, for use by the optimizer. Some databases - like Oracle - provide a plan table for query tuning. This plan table will return the cost and time for executing a query. Oracle offers two optimization approaches: CBO or Cost Based Optimization; RBO or Rule Based Optimization

8. Conjunctive query - Wikipedia

   en.wikipedia.org/wiki/Conjunctive_Query

   The main application of query containment is in query optimization: Deciding whether two queries are equivalent is possible by simply checking mutual containment. The query containment problem is undecidable for relational algebra and SQL but is decidable and NP-complete for conjunctive queries.

9. TimescaleDB - Wikipedia

   en.wikipedia.org/wiki/TimescaleDB

   [6] [7] TimescaleDB is a relational database [8] and supports standard SQL queries. Additional SQL functions and table structures provide support for time series data oriented towards storage, performance, and analysis facilities for data-at-scale. [9] One of the key features of TimescaleDB is its performance, which has been compared to ...