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What is Apache Flink?

Apache Flink is a robust framework and distributed processing engine designed for executing stateful computations on both continuous and finite data streams. It has been specifically developed to function effortlessly across different cluster settings, providing computations with remarkable in-memory speed and the ability to scale. Data in various forms is produced as a steady stream of events, which includes credit card transactions, sensor readings, machine logs, and user activities on websites or mobile applications. The strengths of Apache Flink become especially apparent in its ability to manage both unbounded and bounded data sets effectively. Its sophisticated handling of time and state enables Flink's runtime to cater to a diverse array of applications that work with unbounded streams. When it comes to bounded streams, Flink utilizes tailored algorithms and data structures that are optimized for fixed-size data collections, ensuring exceptional performance. In addition, Flink's capability to integrate with various resource managers adds to its adaptability across different computing platforms. As a result, Flink proves to be an invaluable resource for developers in pursuit of efficient and dependable solutions for stream processing, making it a go-to choice in the data engineering landscape.

What is Apache Gobblin?

A decentralized system for data integration has been created to enhance the management of Big Data elements, encompassing data ingestion, replication, organization, and lifecycle management in both real-time and batch settings. This system functions as an independent application on a single machine, also offering an embedded mode that allows for greater flexibility in deployment. Additionally, it can be utilized as a MapReduce application compatible with various Hadoop versions and provides integration with Azkaban for managing the execution of MapReduce jobs. The framework is capable of running as a standalone cluster with specified primary and worker nodes, which ensures high availability and is compatible with bare metal servers. Moreover, it can be deployed as an elastic cluster in public cloud environments, while still retaining its high availability features. Currently, Gobblin stands out as a versatile framework that facilitates the creation of a wide range of data integration applications, including ingestion and replication, where each application is typically configured as a distinct job, managed via a scheduler such as Azkaban. This versatility not only enhances the efficiency of data workflows but also allows organizations to tailor their data integration strategies to meet specific business needs, making Gobblin an invaluable asset in optimizing data integration processes.

Media

Media

Integrations Supported

Hadoop
Alibaba Log Service
Amazon Managed Service for Apache Flink
Apache Doris
Apache Hudi
Arroyo
Deep.BI
E-MapReduce
Foundational
Gable
GlassFlow
Hue
Netdata
Redpanda Agentic Data Plane
ScaleOps
StarTree
Streamkap
VeloDB
Warp 10
lakeFS

Integrations Supported

Hadoop

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

flink.apache.org

Company Facts

Organization Name

Apache Software Foundation

Company Location

United States

Company Website

gobblin.apache.org

Categories and Features

Categories and Features

Big Data

Not specified

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