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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.
Integrations Supported
Hadoop
Amazon Managed Service for Apache Flink
Apache Doris
Apache Iceberg
Apache Knox
Apache Mesos
Apache Zeppelin
Arroyo
Deep.BI
DeltaStream
Integrations Supported
Hadoop
Amazon Managed Service for Apache Flink
Apache Doris
Apache Iceberg
Apache Knox
Apache Mesos
Apache Zeppelin
Arroyo
Deep.BI
DeltaStream
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
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
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates