Showing 10 open source projects for "write"

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  • 1
    Apache HBase

    Apache HBase

    Get random, realtime read/write access to your Big Data

    Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables, billions of rows X millions of columns, atop clusters of commodity hardware. Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's Bigtable. A Distributed Storage System for Structured Data by Chang et al.
    Downloads: 8 This Week
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  • 2
    .NET for Apache Spark

    .NET for Apache Spark

    A free, open-source, and cross-platform big data analytics framework

    ...With these .NET APIs, you can access the most popular Dataframe and SparkSQL aspects of Apache Spark, for working with structured data, and Spark Structured Streaming, for working with streaming data. .NET for Apache Spark is compliant with .NET Standard - a formal specification of .NET APIs that are common across .NET implementations. This means you can use .NET for Apache Spark anywhere you write .NET code allowing you to reuse all the knowledge, skills, code, and libraries you already have as a .NET developer. .NET for Apache Spark runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. It also runs on all major cloud providers including Azure HDInsight Spark, Amazon EMR Spark, AWS & Azure Databricks.
    Downloads: 1 This Week
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  • 3
    Nebula Graph

    Nebula Graph

    A distributed, fast open-source graph database

    The graph database built for super large-scale graphs with milliseconds of latency. Optimized SUBGRAPH and FIND PATH for better performance. Optimized query paths to reduce redundant paths and time complexity. Optimized the method to get properties for better performance of MATCH statements. Nebula Graph adopts the Apache 2.0 license, one of the most permissive free software licenses in the world. Free as in freedom, because, under the Apache 2.0 license, you can use, copy, modify and...
    Downloads: 0 This Week
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  • 4
    TensorBase

    TensorBase

    TensorBase is a new big data warehousing with modern efforts

    TensorBase hopes the open source not become a copy game. TensorBase has a clear-cut opposition to fork communities, repeat wheels, or hack traffic for so-called reputations (like Github stars). After thoughts, we decided to temporarily leave the general data warehousing field. For people who want to learn how a database system can be built up, or how to apply modern Rust to the high-performance field, or embed a lightweight data analysis system into your own big one. You can still try, ask...
    Downloads: 1 This Week
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  • $300 Free Credits to Build on Google Cloud Icon
    $300 Free Credits to Build on Google Cloud

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  • 5
    geometry-api-java

    geometry-api-java

    The Esri Geometry API for Java enables developers to write apps

    The Esri Geometry API for Java can be used to enable spatial data processing in 3rd-party data-processing solutions. Developers of custom MapReduce-based applications for Hadoop can use this API for spatial processing of data in the Hadoop system. The API is also used by the Hive UDF’s and could be used by developers building geometry functions for 3rd-party applications such as Cassandra, HBase, Storm and many other Java-based “big data” applications.
    Downloads: 0 This Week
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  • 6

    wzd

    Powerful storage server, designed for big data storage systems

    wZD is a server written in Go language that uses a modified version of the BoltDB database as a backend for saving and distributing any number of small and large files, NoSQL keys/values, in a compact form inside micro Bolt databases (archives), with distribution of files and values in BoltDB databases depending on the number of directories or subdirectories and the general structure of the directories. Using wZD can permanently solve the problem of a large number of files on any POSIX...
    Downloads: 0 This Week
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  • 7
    FastoRedis

    FastoRedis

    Cross-platform open source Redis DB management tool

    FastoRedis (fork of FastoNoSQL) — is a cross-platform open source Redis management tool (i.e. Admin GUI). It put the same engine that powers Redis's redis-cli shell. Everything you can write in redis-cli shell — you can write in FastoRedis! Our program works on the most amount of Linux systems, also on Windows, Mac OS X, FreeBSD and Android platforms, on desktops and embedded devices.
    Downloads: 2 This Week
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  • 8
    fooltrader

    fooltrader

    Quant framework for stock

    ...Its applicable objects include quantitative traders, teachers, and students majoring in finance, people interested in economic data, programmers, and people who like freedom and the spirit of exploration. You could write the Strategy using an event-driven or time walkway and view and analyze the performance in a uniform way.
    Downloads: 0 This Week
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  • 9
    BIRT Report Designer

    BIRT Report Designer

    Open Source Reporting & Data Visualization Platform

    ...Actuate now provides a free report server, BIRT iHub F-Type, to deploy BIRT content so developers don't have to build their own infrastructure. With a flexible Open Data Access framework, developers can write custom data drivers to access data from any source, including Big Data sources like Apache Hadoop, Cassandra, and MongoDB, along with all traditional relational databases, Flat Files, XML data streams, and data stored in proprietary systems. Built for embedding, BIRT includes APIs for data access, chart generation, output formats, content execution, and integration within larger applications.
    Downloads: 3 This Week
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    Build Agents and Models on One Platform

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  • 10

    Big Sack

    Big Sack: A lightweight Java Key/Value store with undo and disk cache.

    ...It has the convenience of Java SDK TreeMap and TreeSet classes and is used the same easy way, but it includes rollback through undo logging to checkpoint data so it does not wind up in an unknown state regardless of failures. Data storage in the exabyte range is possible using filesystem and/or memory-mapped IO. Three levels of configurable write-through caching at different granularities ensure performance.
    Downloads: 0 This Week
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