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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 Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Bigtop No 
Apache Mesos No 
Astro by Astronomer No 
Dagster No 
DataNimbus No 
Deequ No 
E2E Cloud No 
HStreamDB No 
JanusGraph No 
Jupyter Notebook No 
Kestra No 
Kubernetes No 
Pavilion HyperOS No 
SQL No 
SingleStore No 
StarRocks No 
Sync No 
Yandex Data Proc No 
Yottamine No 
definity No 

Integrations

Apache Bigtop Yes 
Apache Mesos Yes 
Astro by Astronomer Yes 
Dagster Yes 
DataNimbus Yes 
Deequ Yes 
E2E Cloud Yes 
HStreamDB Yes 
JanusGraph Yes 
Jupyter Notebook Yes 
Kestra Yes 
Kubernetes Yes 
Pavilion HyperOS Yes 
SQL Yes 
SingleStore Yes 
StarRocks Yes 
Sync Yes 
Yandex Data Proc Yes 
Yottamine Yes 
definity Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

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 No 

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 No 

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

spark.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

Big Data

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

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Streaming Analytics

Data Enrichment Yes 
Data Wrangling / Data Prep Yes 
Multiple Data Source Support Yes 
Process Automation Yes 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

Alternatives

Alternatives

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