Showing 5 open source projects for "low level"

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  • 1
    PULSAR

    PULSAR

    Distributed pub-sub messaging system

    Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project. Easy to deploy, lightweight compute process, developer-friendly APIs, no need to run your own stream processing engine. Run in production at Yahoo! scale for over 5 years, with millions of messages per second across millions of topics. Expand capacity seamlessly to hundreds of nodes. Low publish latency (< 5ms) at scale with strong durability guarantees. ...
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  • 2
    Apache RocketMQ

    Apache RocketMQ

    Distributed messaging and streaming platform with low latency

    Apache RocketMQ is a distributed messaging and streaming platform with low latency, high performance and reliability, trillion-level capacity and flexible scalability. Messaging patterns including publish/subscribe, request/reply and streaming. Financial grade transactional message. Built-in fault tolerance and high availability configuration options base on DLedger. A variety of cross language clients, such as Java, C/C++, Python, Go.
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  • 3
    Apache Hudi

    Apache Hudi

    Upserts, Deletes And Incremental Processing on Big Data

    ...Apache Hudi is a transactional data lake platform that brings database and data warehouse capabilities to the data lake. Hudi reimagines slow old-school batch data processing with a powerful new incremental processing framework for low latency minute-level analytics. Hudi provides efficient upserts, by mapping a given hoodie key (record key + partition path) consistently to a file id, via an indexing mechanism. This mapping between record key and file group/file id, never changes once the first version of a record has been written to a file. In short, the mapped file group contains all versions of a group of records.
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  • 4

    blitz-image

    GPU-accelerated image processing for java

    ...The performance of a typical bicubic upscale operation is typically in the order of 10 times faster than via the standard AWT mechanism using RenderingHints.VALUE_INTERPOLATION_BICUBIC. The library depends on Aparapi (https://code.google.com/p/aparapi/). Any GPU supporting OpenCL should be supported (including low-end GPUs without double-precision fp support), and there is automatic fallback to pure java implementations for all operations in the event that there is no OpenCL support available. A high-level API allows for very easy use from AWT/Swing, whilst the low-level array-based API allows integration with any imaging framework (e.g. from Android or SWT).
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  • 5
    Cascalog

    Cascalog

    Data processing on Hadoop without the hassle

    Cascalog is a powerful Clojure (and Java) data processing and querying library built atop Hadoop (via Cascading), providing a high-level, Datalog-inspired abstraction for both big data processing and local computation. Cascalog is hosted at Clojars, and some of its dependencies are hosted at Conjars. Both Clo/Con-jars are maven repos that's easy to use with maven or leiningen. The Cascalog website contains more information and links to Various articles and tutorials. The best way to get...
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