Search Results for "parallel-sudoku-solver"
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Showing 29 open source projects for "parallel-sudoku-solver"
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Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor... -
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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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LinDB
LinDB is a scalable, high performance, high availability database
LinDB is a scalable, high-performance, high-availability distributed time series database. A single server could easily support more than one million write TPS; With fundamental techniques like efficient compression storage and parallel computing, LinDB delivers highly optimized query performance. The multi-channel replication protocol supports any amount of nodes, and ensures the system's availability. Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL... -
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LocustDB
Massively parallel, high performance analytics database
An experimental analytics database aiming to set a new standard for query performance and storage efficiency on commodity hardware. See How to Analyze Billions of Records per Second on a Single Desktop PC and How to Read 100s of Millions of Records per Second from a Single Disk for an overview of current capabilities. Download the latest binary release, which can be run from the command line on most x64 Linux systems, including Windows Subsystem for Linux. When loading .csv or .csv.gz files... -
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Isar Database
Extremely fast, easy to use, and fully async NoSQL database
... and all changes are rolled back if an error occurs. The unique query syntax is very powerful and statically typed. No need to worry about runtime errors. Made for Flutter. Easy to use, no config, no boilerplate. The sky is the limit. Composite & multi-entry indexes, query modifiers, JSON support etc. Asynchronous, parallel query operations & multi-isolate support by default. Open source. Everything is open source and free forever! -
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Reliable PostgreSQL Backup & Restore
Reliable PostgreSQL backup and restore
pgBackRest aims to be a reliable, easy-to-use backup and restore solution that can seamlessly scale up to the largest databases and workloads by utilizing algorithms that are optimized for database-specific requirements. Compression is usually the bottleneck during backup operations but, even with now-ubiquitous multi-core servers, most database backup solutions are still single-process. pgBackRest solves the compression bottleneck with parallel processing. Utilizing multiple cores... -
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Mycat2
MySQL Proxy using Java NIO based on Sharding SQL, Calcite
...-table Window grammar, support global secondary index, limited support storage process, support visualization configuration. Support parallel extraction of result sets, support the automatic transfer of back-end result sets, support multiple routing notes, and optimizer notes. Parameterization of the requested SQL, cache physics execution plan, and request of the same parameterization SQL, will avoid some analysis and optimization processes. -
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xsd2pgschema
Relational database replication tool based on XML Schema
xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. Obtained PostgreSQL... -
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GETL
ETL engine based on Groovy
P.S. Dear friends. Repository migration to https://github.com/ascrus/getl . You can download jar file from this site or maven. GETL - based package in Groovy, which automates the work of loading and transforming data. His name is an acronym for «Groovy ETL». GETL is a set of libraries of pre-built classes and objects that can be used to solve problems unpacking, transform and load data into programs written in Groovy, or Java, as well as from any software that supports the work with... -
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RadonDB
RadonDB is an open source, cloud-native MySQL database
RadonDB is a cloud-native database based on MySQL, and architected in fully distributed cluster that enable unlimited scalability (scale-out), capacity and performance. It supported distributed transaction that ensure high data consistency, and leveraged MySQL as storage engine for trusted data reliability. RadonDB is compatible with MySQL protocol, and sup-porting automatic table sharding as well as batch of automation feature for simplifying the maintenance and operation workflow. RadonDB... -
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JuliaDB.jl
Parallel analytical database in pure Julia
JuliaDB is a package for working with large persistent data set. JuliaDB provides distributed table and array datastructures with convenient functions to load data from CSV. JuliaDB is Julia all the way down. This means queries can be composed with Julia code that may use a vast ecosystem of packages. -
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EventQL
Distributed "massively parallel" SQL query engine
EventQL is a distributed, column-oriented database built for large-scale event collection and analytics. It runs super-fast SQL and MapReduce queries. The community software … the ideal channel for companies and organizations looking for additional interactions with their community? The first AC Repair appeared in the Best AC Repair Miami research landscape as early as the end of the 2000s, but the great added value offered by these HVAC companies in Miami was not recognized or even... -
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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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ProC 3.0
smart Workflow Engine
ProC 3.0 is a scientific workflow engine to build, manage and execute workflows (pipelines) in heterogeneous environments, supporting GRID and other means of parallel processing. It includes a data management component (DMC) to transparently access databases for storage of results and automatically adds metadata to track the processing of data products, so that at every time a full processing history is available. The software was developed and used within the ESA Planck satellite mission. -
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dlvhex is a prototype solver for HEX-programs which integrate Answer-Set Programs with higher-order reasoning and external computation sources. It comes with a full-fledged plug-in framework for rapid extension development.
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DBM is a Database Deployment Manager application. It provides an easy way of creating the initial database layout, and also features a diagram editor to visualize the relationship between tables. It also has a unique object oriented modelling feature
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An environment where everything can be kept in an interconnected way ...dependencies, parallel serials, multiple layers/levels - trees. One system based on another. Top-down, bottom-up concepts.
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Toolsverse ETL Framework
Open source Extract Transform Load engine written in Java
ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *... -
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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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A tool for unloading data from Oracle in parallel. Goal: achieve very fast data unloading by taking advantage of available processing power in Oracle server.
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HadoopDB is a hybrid of parallel database and MapReduce technologies. It approaches parallel databases in performance and efficiency, yet still yields the scalability, fault tolerance, and flexibility of MapReduce systems.
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HenPlus is a SQL shell that can handle multiple sessions in parallel. The commandline interface with the usual history functions features TAB-completion for commands, tables and columns. Database connect via JDBC.
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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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Datawarehouse process workflow server and generator of datawarehouse mappings. It allows to define dependencies between tables or files and processes and according to these metadata it runs processes in parallel.