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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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

Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Data Sentinel
Hadoop
NoSQL
Python
SQL
Salesforce Data 360
Trino

Integrations

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Data Sentinel
Hadoop
NoSQL
Python
SQL
Salesforce Data 360
Trino

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Website

phoenix.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

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

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