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linkedin/gobblin

0
View on GitHub↗
2,267 estrellas·749 forks·Java·Apache-2.0·8 vistasgobblin.apache.org↗

Gobblin

A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.

Features

  • Big Data Frameworks - Universal data ingestion framework for Hadoop.
  • Data Ingestion - Universal framework for data ingestion and integration.
  • Data Ingestion and Integration - Universal framework for data ingestion into Hadoop.
  • Data Ingestion Pipelines - Universal framework for data ingestion.

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Alternativas open-source a Gobblin

Proyectos open-source similares, clasificados según cuántas características comparten con Gobblin.
  • netflix/suroAvatar de Netflix

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    Netflix's distributed Data Pipeline

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  • apache/pulsarAvatar de apache

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    15,276Ver en GitHub↗

    Apache Pulsar is a cloud-native distributed pub-sub messaging system designed for high-performance data ingestion. It functions as a geo-replicated data streamer and a multi-tenant event streaming platform, providing a serverless stream processing engine and a tiered storage messaging broker. The system distinguishes itself by separating serving layers from storage layers to allow independent scaling of compute and data retention. It features native geo-replication to synchronize messages across different geographical regions and employs a multi-layered tenant isolation model using authentica

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  • aklivity/zillaAvatar de aklivity

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    🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka® via declaratively defined, stateless APIs.

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  • bruin-data/bruinAvatar de bruin-data

    bruin-data/bruin

    1,620Ver en GitHub↗

    Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

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Ver las 30 alternativas a Gobblin→

Preguntas frecuentes

¿Qué hace linkedin/gobblin?

A distributed data integration framework that simplifies common aspects of big data integration such as data ingestion, replication, organization and lifecycle management for both streaming and batch data ecosystems.

¿Cuáles son las características principales de linkedin/gobblin?

Las características principales de linkedin/gobblin son: Big Data Frameworks, Data Ingestion, Data Ingestion and Integration, Data Ingestion Pipelines.

¿Qué alternativas de código abierto existen para linkedin/gobblin?

Las alternativas de código abierto para linkedin/gobblin incluyen: netflix/suro — Netflix's distributed Data Pipeline. bruin-data/ingestr — ingestr is a command-line tool for copying and syncing data between different database engines and third-party… aklivity/zilla — 🦎 A multi-protocol edge & service proxy. Seamlessly interface web apps, IoT clients, & microservices to Apache Kafka®… apache/pulsar — Apache Pulsar is a cloud-native distributed pub-sub messaging system designed for high-performance data ingestion. It… bruin-data/bruin — Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end… facebookarchive/scribe — Scribe is a distributed log aggregation system designed to collect and route real-time log data from numerous servers…