Search Results for "processing"
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Showing 35 open source projects for "processing"
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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ClickHouse
A fast open-source OLAP database management system
...ClickHouse also has exceptional hardware efficiency and a host of other features, including a feature-rich SQL database, vectorized query execution, real-time query processing and data ingestion, and more. -
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An innovative Open Source CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. You can think of the Complex Event Processing engine as an in-memory database driven by triggers, or a data-flow machine, or a spreadsheet on steroids (and without the GUI part).
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GT.M High end TP database engine
Industrial Strength NoSQL Application Development Platform
GT.M[tm] is a vetted industrial strength, transaction processing application platform consisting of a key-value database engine optimized for extreme transaction processing throughput & business continuity. Check https://fis-gtm.sourceforge.io/ for documentation -
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AmberDB - NoSQL database engine in Perl
High-performance, NoSQL engine with transactions for Perl
...It combines the speed of flat-file storage with enterprise features: schema-driven multi-dimensional indexing, ACID-compliant transactions with Strict Two-Phase Locking (Strict 2PL), columnar faceted navigation, multilingual locale processing, and native RAM-disk caching. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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LSJ-Server
LSJ-Server-Terra (Java Multipurpose Sever connected with MariaDB)
...LSJ-Server (Terra) is a high-performance, lightweight socket server built with Pure Java and MariaDB. It offers a robust backend for IT maintenance and MMORPG/RTS games without heavy framework overhead. [Features] Pure Java & MariaDB: Fast data processing & persistence. Real-time Monitoring: GUI for live logs and user management. Optimized Networking: Low-latency TCP/IP support. [How to Use] Config: Set MariaDB and Port (default: 10815). Control: Use 'Start' and 'Stop' buttons. Manage: Monitor logs/users and use the bottom command field. https://github.com/s1213123/LSJ-Server/ -
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ZeroMQ
ZeroMQ core engine in C++, implements ZMTP/3.1
...You can connect sockets N-to-N with patterns like fan-out, pub-sub, task distribution, and request-reply. It's fast enough to be the fabric for clustered products. Its asynchronous I/O model gives you scalable multicore applications, built as asynchronous message-processing tasks. It has a score of language APIs and runs on most operating systems. Libzmq is mainly written in C++98 with some optional C++11-fragments. For configuration either autotools or CMake is employed. For Linux users, pre-built binary packages are available for most distributions. Note that DRAFT APIs can change at any time without warning, pick a STABLE build to avoid having them enabled. -
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eXist-db
eXist-db is a feature rich Open Source native XML database
eXist-db is a native XML database featuring efficient, index-based XQuery processing, extensions for keyword search, XUpdate support, XSLT support, XForms support, REST and tight integration with existing XML development tools. Moved to Github - https://www.github.com/exist-db/exist -
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Mondrian is an OLAP (online analytical processing) engine written in Java. It reads from JDBC data sources, aggregates data in a memory cache, and implements the MDX language and the olap4j and XML/A APIs.
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geog-server-embedded
GeoG Embedded Server
GeoG Embedded Server with GeoG's Own Database. -
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Apache PredictionIO
Machine learning server for developers and ML engineers
...Quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically; unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; support machine learning and data processing libraries such as Spark MLLib and OpenNLP; implement your own machine learning models and seamlessly incorporate them into your engine; simplify data infrastructure management. -
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CliqueSquare
Distributed RDF Processing over Hadoop
CliqueSquare is a system for storing and querying large RDF graphs relying on Hadoop’s distributed file system (HDFS) and Hadoop’s MapReduce open-source implementation. 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. -
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Sedna Native XML Database
Sedna is a native full-featured XML database management system.
Sedna is a free native XML database which provides a full range of core database services - persistent storage, ACID transactions, security, indices, hot backup. Flexible XML processing facilities include W3C XQuery implementation, tight integration of XQuery with full-text search facilities and a node-level update language. -
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WhirlwindDB
GPU Analytic Database
A SQL based analytic engine running on an NVIDIA GPU for exceptional performance. We see over 700x performance increase over a well known database on the same machine. -
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OstrivDB
Embedded NoSQL object-oriented database engine for .NET and Mono
... - Batch of queries. - Views. - InMemory objects and views. - No special query language (LINQ used). - Integrated sorting and paging. - Multithreaded data processing. - Custom input/output and serialization. Requirements: - Microsoft .NET Framework 4.0 or Mono (tested on FreeBSD 9.1 and Mono 2.11.4). -
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InfiniDB is now hosted on github.
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ISAM File handler
ISAM file handler compatible with the leading commercial ISAM
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DBIO
OLTP Database I/O Simulation Tool
DBIO is a tool to simulate Online Transaction Processing Database, which can be used to model production envirment for I/O test. A standard configuration file contained in the software simulates TPCC-Like I/O workload, which is modeled from DB2 Database running TPCC-Like workload. DBIO can also do data consistency check after the I/O workload test. -
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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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This system is means for creation of a semantic network for construction, storage and processing of logic models. The system allows to carry out partial or full abstraction of models, thus keeping their integrity and reliability.
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MXQuery is a low-footprint implementation of XQuery 1.0, XQuery Update 1.0, XQuery Fulltext 1.0 and XQuery Scripting 1.0 as well as a subset of XQuery 1.1 (windowing, try/catch). It provides extensions to do data stream processing/CEP and SOAP/REST
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Provide an LDAP client API for Python, C wrapper module around OpenLDAP 2.x with an object-oriented API, several additional modules for processing LDIF, LDAP URLs and LDAP schema information
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An experimental CEP (Complex Event Processing) engine. It implements the event stream processing as a library embeddable in C++ and Perl. Since then it has been renamed to Triceps, so please look at the new location https://sourceforge.net/projects/t
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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.
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Cayuga is an expressive and scalable Complex Event Processing (CEP) system developed at the Cornell Database Group. The system is implemented in C++, and runs on Windows, Linux, and Mac OS X. See its Wiki page, or google "Cornell Cayuga" for details.
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Fennel is a library of data storage and processing components written in C++. It is developed as a sub-project of The Eigenbase Project, and also serves as a substrate for the Farrago project.
