Search Results for "optimization"

ConcourseDB is a distributed, self-tuning database designed for real-time applications, offering strong consistency and ACID compliance without requiring complex configurations. It provides dynamic schema support and automatic indexing.

...The data structures tend to change over time, or not be known in advance, working with them must be maintained; 3. All routine work ETL should be automated wherever possible; 4. Compiling the code on the fly bail speed and reserve for the optimization; 5. Sophisticated class hierarchy guarantee easy connection of other open source solutions.

Open source intermediate for the MySQL database network protocol written in Java language, open source of GPLv3 protocol. Custom Calcite distributed query engine, edit SQL to relationship algebra expression, rule optimization engine, and cost optimization engine, generate physical execution plan, support logic view. Any cross-currant cross-table join query, support cross-currant cross-table non-associated query, support cross-currant cross-table association query, support cross-currant cross-table Window grammar, support global secondary index, limited support storage process, support visualization configuration. ...

Design/Reverse Engineer/Generate Scripts/Compare Versions of all major databases with "Apricot DB" ERD- tool "Apricot DB" is a database tool for design and analysis of the relational database structure. It represents the DB- structure in the form of editable Entity/Relationship Diagrams (ERD). "Apricot DB" allows to perform reverse engineering on the existing database, as well as to create a new database structure from scratch. Allows to generate the essential DDL- scripts for...

BlobCity DB is an AI-optimized, NoSQL database designed for high-performance analytics and machine learning workloads. It combines structured and unstructured data storage, offering fast query execution and seamless integration with AI frameworks. It is built to handle large-scale datasets efficiently.

...It provides a novel partitioning and storage scheme that permits 1-level joins to be evaluated locally using efficient map-only joins. In addition, CliqueSquare is equipped with a unique optimization algorithm based on graphs and cliques capable of generating highly parallelizable flat query plans relying on n-ary equality joins.

Semantic query optimization (SQO) is the process of finding equivalent rewritings of an input query given constraints that hold in a database instance. We present a Chase & Backchase (C&B) algorithm strategy that generalizes and improves on well-known methods in the field. The implementation of our approach, the pegasus system, outperforms existing C&B systems an average by two orders of magnitude.