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Description
The Knox API Gateway functions as a reverse proxy, prioritizing flexibility in policy enforcement and backend service management for the requests it handles. It encompasses various aspects of policy enforcement, including authentication, federation, authorization, auditing, dispatch, host mapping, and content rewriting rules. A chain of providers, specified in the topology deployment descriptor associated with each Apache Hadoop cluster secured by Knox, facilitates this policy enforcement. Additionally, the cluster definition within the descriptor helps the Knox Gateway understand the structure of the cluster, enabling effective routing and translation from user-facing URLs to the internal workings of the cluster. Each secured Apache Hadoop cluster is equipped with its own REST APIs, consolidated under a unique application context path. Consequently, the Knox Gateway can safeguard numerous clusters while offering REST API consumers a unified endpoint for seamless access. This design enhances both security and usability by simplifying interactions with multiple backend services.
Description
IBM Analytics Engine offers a unique architecture for Hadoop clusters by separating the compute and storage components. Rather than relying on a fixed cluster with nodes that serve both purposes, this engine enables users to utilize an object storage layer, such as IBM Cloud Object Storage, and to dynamically create computing clusters as needed. This decoupling enhances the flexibility, scalability, and ease of maintenance of big data analytics platforms. Built on a stack that complies with ODPi and equipped with cutting-edge data science tools, it integrates seamlessly with the larger Apache Hadoop and Apache Spark ecosystems. Users can define clusters tailored to their specific application needs, selecting the suitable software package, version, and cluster size. They have the option to utilize the clusters for as long as necessary and terminate them immediately after job completion. Additionally, users can configure these clusters with third-party analytics libraries and packages, and leverage IBM Cloud services, including machine learning, to deploy their workloads effectively. This approach allows for a more responsive and efficient handling of data processing tasks.
API Access
Has API
API Access
Has API
Integrations
Hadoop
Acquia CDP
Apache Flink
Apache HBase
Apache Hadoop YARN
Apache Hive
Apache Ranger
Apache Solr
Apache Spark
Apache Storm
Integrations
Hadoop
Acquia CDP
Apache Flink
Apache HBase
Apache Hadoop YARN
Apache Hive
Apache Ranger
Apache Solr
Apache Spark
Apache Storm
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.014 per hour
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
knox.apache.org
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/analytics-engine
Product Features
API Management
API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery