Search Results for "parallel"
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Showing 5 open source projects for "parallel"
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Desktop and Mobile Device Management SoftwareDesktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
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ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. Apart from its blazing speed, ClickHouse is highly... -
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starrydb-publice
starrydb is game server engine
starrydb is game server engine, As long as a few simple scripts can help you quickly build a game server. email:admin@starrydb.com -
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Postgres-XC is a write-scalable synchronous multi-master PostgreSQL cluster with the following features. 1) Both read and write scalability. 2) Configured with more than one server. 3) Complete global transaction and visibility management.
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Telecommunication Application Transaction Processing Benchmark generates a transactional load over parallel client connections, targeted at a database system under test. It is modeled after a mobile network application HLR (Home Location Register).
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Labra enables you to launch your solutions on Azure, AWS, and Google Cloud quickly and seamlessly—without a single line of code.Labra is designed for cloud businesses, independent software vendors (ISVs), and channel partners looking to streamline their go-to-market strategies, accelerate product listings, and enhance sales efficiency through AI-powered automation and CRM integration. Additionally, it caters to teams seeking to enhance collaboration with cloud providers and partner ecosystems while maintaining control over their sales processes and optimizing their growth potential
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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.
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