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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

Apache Hive is a data warehouse solution that enables the efficient reading, writing, and management of substantial datasets stored across distributed systems using SQL. It allows users to apply structure to pre-existing data in storage. To facilitate user access, it comes equipped with a command line interface and a JDBC driver. As an open-source initiative, Apache Hive is maintained by dedicated volunteers at the Apache Software Foundation. Initially part of the Apache® Hadoop® ecosystem, it has since evolved into an independent top-level project. We invite you to explore the project further and share your knowledge to enhance its development. Users typically implement traditional SQL queries through the MapReduce Java API, which can complicate the execution of SQL applications on distributed data. However, Hive simplifies this process by offering a SQL abstraction that allows for the integration of SQL-like queries, known as HiveQL, into the underlying Java framework, eliminating the need to delve into the complexities of the low-level Java API. This makes working with large datasets more accessible and efficient for developers.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adobe Real-Time CDP No 
Amundsen No 
Apache Doris No 
Apache Knox No 
DataClarity Unlimited Analytics No 
DataHub No 
Datalogz No 
Datameer No 
DigDash No 
Fosfor Decision Cloud No 
Hue No 
IRI Data Protector Suite No 
Immuta No 
Mage Dynamic Data Masking No 
Precisely Connect No 
Qlik Staige No 
StreamFlux No 

Integrations

Adobe Real-Time CDP Yes 
Amundsen Yes 
Apache Doris Yes 
Apache Knox Yes 
DataClarity Unlimited Analytics Yes 
DataHub Yes 
Datalogz Yes 
Datameer Yes 
DigDash Yes 
Fosfor Decision Cloud Yes 
Hue Yes 
IRI Data Protector Suite Yes 
Immuta Yes 
Mage Dynamic Data Masking Yes 
Precisely Connect Yes 
Qlik Staige Yes 
StreamFlux Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

eagle.apache.org

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

hive.apache.org

Product Features

IT Alerting

Alert Noise Reduction No 
Alert Routing No 
Dynamic Notifications No 
Enriched Incident Context No 
Escalation Policies No 
Incident History Audit No 
Multi-User Alerting No 
Multiple Alert Types No 
On-Call Management No 
Rich HTML Email Notifications No 

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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