Search Results for "throughput" - Page 2

...The goal of the tool is reduce the overhead of creating new resources by reusing of the same resources among multiple processes. Achieving result is better performance and throughput. The resource pool was inspired by Java Apache's commons pool and adopts API and main principals from this project. Database connection is most popular example for pooling resource.

AMEN (Annotation, Mapping, Expression and Network) is a stand-alone, unified suite of tools to manage, explore and combine biological multifaceted high-throughput data such as annotation, chromosomal location, expression and interaction data.

PipelineDB is a PostgreSQL extension for continuous aggregation and stream processing. It allows users to define continuous queries that automatically process incoming data streams, storing results in materialized views. Designed for real-time analytics, PipelineDB extends PostgreSQL with stream-oriented features while maintaining compatibility with standard SQL and tooling.

...Tera can easily scale to petabytes of data across thousands of commodity servers. Besides, Tera is widely used in many Baidu products with varied demands， which range from throughput-oriented applications to latency-sensitive services, including web indexing, WebPage DB, LinkBase DB, etc. Tera is the collection of many sparse, distributed, multidimensional tables. The table is indexed by a row key, column key, and a timestamp; each value in the table is an uninterpreted array of bytes. Support RAMDISK/SSD/DFS tiered cache. ...

...It runs on *nix and Windows operating systems. tiedot has fault-tolerant data structures that put your data safety first, while easily scales to 4+ CPU cores. tiedot has very stable performance, even with millions of records! It consistently achieves high throughput, swallow more than 120k records or 80k complicated queries per second with confidence. The newest version 3.4 comes with general performance and compatibility improvements. tiedot is a very small project in the large open source community, it is growing fast thanks to the 800+ stars and watchers, as well as many contributors for their feedback, comments, ideas and code.

PIP on GT.M is a mature and proven complete FOSS stack for developing transaction processing database applications with superb scalability, transaction throughput & unique functionality for extreme levels of business continuity.

Ray improves throughput when many concurrent queries access large scientific databases. Queries are synchronized to access sectors on disk simultaneously so that an arbitrary number of parallel queries can be executed without degradation in performance.

ArrayPipeLine is a web-based Laboratory Information Management system, using MySQL, Perl CGI and R. It enables high-throughput analysis of microarray data, providing automation of data handling, and rapid creation and implementation of analysis pipelines

Project MOVED to Codehaus New location is http://esper.codehaus.org The Esper project aims to provide a general-purpose event processing facility in Java for complex event processing of real-time, high throughput data streams.

Java software that store biological data in a database through a graphic interface