Showing 7 open source projects for "qt-eclipse-integration"

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  • 1
    Apache SeaTunnel

    Apache SeaTunnel

    SeaTunnel is a distributed, high-performance data integration platform

    ...Data synchronization needs to support various synchronization scenarios such as offline-full synchronization, offline-incremental synchronization, CDC, real-time synchronization, and full database synchronization. Existing data integration and data synchronization tools often require vast computing resources or JDBC connection resources to complete real-time synchronization of massive small tables.
    Downloads: 0 This Week
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  • 2
    Pentaho

    Pentaho

    Pentaho offers comprehensive data integration and analytics platform.

    Pentaho couples data integration with business analytics in a modern platform to easily access, visualize and explore data that impacts business results. Use it as a full suite or as individual components that are accessible on-premise, in the cloud, or on-the-go (mobile). Pentaho enables IT and developers to access and integrate data from any source and deliver it to your applications all from within an intuitive and easy to use graphical tool.
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    Downloads: 1,331 This Week
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  • 3
    Luigi

    Luigi

    Python module that helps you build complex pipelines of batch jobs

    Luigi is a Python (3.6, 3.7, 3.8, 3.9 tested) package that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization, handling failures, command line integration, and much more. The purpose of Luigi is to address all the plumbing typically associated with long-running batch processes. You want to chain many tasks, automate them, and failures will happen. These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else. ...
    Downloads: 0 This Week
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  • 4
    Datapipe

    Datapipe

    Real-time, incremental ETL library for ML with record-level depend

    Datapipe is a real-time, incremental ETL library for Python with record-level dependency tracking. Datapipe is designed to streamline the creation of data processing pipelines. It excels in scenarios where data is continuously changing, requiring pipelines to adapt and process only the modified data efficiently. This library tracks dependencies for each record in the pipeline, ensuring minimal and efficient data processing.
    Downloads: 0 This Week
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  • 5
    BitSail

    BitSail

    BitSail is a distributed high-performance data integration engine

    BitSail is ByteDance's open source data integration engine which is based on distributed architecture and provides high performance. It supports data synchronization between multiple heterogeneous data sources, and provides global data integration solutions in batch, streaming, and incremental scenarios. At present, it serves almost all business lines in ByteDance, such as Douyin, Toutiao, etc., and synchronizes hundreds of trillions of data every day.
    Downloads: 0 This Week
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  • 6
    CloverDX

    CloverDX

    Design, automate, operate and publish data pipelines at scale

    Please, visit www.cloverdx.com for latest product versions. Data integration platform; can be used to transform/map/manipulate data in batch and near-realtime modes. Suppors various input/output formats (CSV,FIXLEN,Excel,XML,JSON,Parquet, Avro,EDI/X12,HL7,COBOL,LOTUS, etc.). Connects to RDBMS/JMS/Kafka/SOAP/Rest/LDAP/S3/HTTP/FTP/ZIP/TAR. CloverDX offers 100+ specialized components which can be further extended by creation of "macros" - subgraphs - and libraries, shareable with 3rd parties. ...
    Downloads: 2 This Week
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  • 7
    Apache Kafka

    Apache Kafka

    Mirror of Apache Kafka

    ...Exactly-once processing semantics, idempotent producers, and transactions help prevent duplicates across complex dataflows. Kafka Streams and Kafka Connect extend the core: Streams provides a library for stateful stream processing within applications, while Connect standardizes integration with external systems. With horizontal scalability, strong ordering guarantees within partitions, and mature tooling, Kafka serves as the backbone for event-driven architectures across analytics, microservices, and data integration.
    Downloads: 3 This Week
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