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ease
features
design
support

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Description

Apache Eagle, referred to simply as Eagle, serves as an open-source analytics tool designed to quickly pinpoint security vulnerabilities and performance challenges within extensive data environments such as Apache Hadoop and Apache Spark. It examines various data activities, YARN applications, JMX metrics, and daemon logs, offering a sophisticated alert system that helps detect security breaches and performance problems while providing valuable insights. Given that big data platforms produce vast quantities of operational logs and metrics in real-time, Eagle was developed to tackle the complex issues associated with securing and optimizing performance for these environments, ensuring that metrics and logs remain accessible and that alerts are triggered promptly, even during high traffic periods. By streaming operational logs and data activities into the Eagle platform—including, but not limited to, audit logs, MapReduce jobs, YARN resource usage, JMX metrics, and diverse daemon logs—it generates alerts, displays historical trends, and correlates alerts with raw data, thus enhancing security and performance monitoring. This comprehensive approach makes it an invaluable resource for organizations managing big data infrastructures.

Description

A framework for distributed data integration that streamlines essential functions of Big Data integration, including data ingestion, replication, organization, and lifecycle management, is designed for both streaming and batch data environments. It operates as a standalone application on a single machine and can also function in an embedded mode. Additionally, it is capable of executing as a MapReduce application across various Hadoop versions and offers compatibility with Azkaban for initiating MapReduce jobs. In standalone cluster mode, it features primary and worker nodes, providing high availability and the flexibility to run on bare metal systems. Furthermore, it can function as an elastic cluster in the public cloud, maintaining high availability in this setup. Currently, Gobblin serves as a versatile framework for creating various data integration applications, such as ingestion and replication. Each application is usually set up as an independent job and managed through a scheduler like Azkaban, allowing for organized execution and management of data workflows. This adaptability makes Gobblin an appealing choice for organizations looking to enhance their data integration processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hadoop

Integrations

Hadoop

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

eagle.apache.org

Vendor Details

Company Name

Apache Software Foundation

Country

United States

Website

gobblin.apache.org

Product Features

IT Alerting

Alert Noise Reduction
Alert Routing
Dynamic Notifications
Enriched Incident Context
Escalation Policies
Incident History Audit
Multi-User Alerting
Multiple Alert Types
On-Call Management
Rich HTML Email Notifications

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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