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What is IBM Analytics Engine?

IBM Analytics Engine presents an innovative structure for Hadoop clusters by distinctively separating the compute and storage functionalities. Instead of depending on a static cluster where nodes perform both roles, this engine allows users to tap into an object storage layer, like IBM Cloud Object Storage, while also enabling the on-demand creation of computing clusters. This separation significantly improves the flexibility, scalability, and maintenance of platforms designed for big data analytics. Built upon a framework that adheres to ODPi standards and featuring advanced data science tools, it effortlessly integrates with the broader Apache Hadoop and Apache Spark ecosystems. Users can customize clusters to meet their specific application requirements, choosing the appropriate software package, its version, and the size of the cluster. They also have the flexibility to use the clusters for the duration necessary and can shut them down right after completing their tasks. Furthermore, users can enhance these clusters with third-party analytics libraries and packages, and utilize IBM Cloud services, including machine learning capabilities, to optimize their workload deployment. This method not only fosters a more agile approach to data processing but also ensures that resources are allocated efficiently, allowing for rapid adjustments in response to changing analytical needs.

What is Apache Sentry?

Apache Sentryâ„¢ is a powerful solution for implementing comprehensive role-based access control for both data and metadata in Hadoop clusters. Officially advancing from the Incubator stage in March 2016, it has gained recognition as a Top-Level Apache project. Designed specifically for Hadoop, Sentry acts as a fine-grained authorization module that allows users and applications to manage access privileges with great precision, ensuring that only verified entities can execute certain actions within the Hadoop ecosystem. It integrates smoothly with multiple components, including Apache Hive, Hive Metastore/HCatalog, Apache Solr, Impala, and HDFS, though it has certain limitations concerning Hive table data. Constructed as a pluggable authorization engine, Sentry's design enhances its flexibility and effectiveness across a variety of Hadoop components. By enabling the creation of specific authorization rules, it accurately validates access requests for various Hadoop resources. Its modular architecture is tailored to accommodate a wide array of data models employed within the Hadoop framework, further solidifying its status as a versatile solution for data governance and security. Consequently, Apache Sentry emerges as an essential tool for organizations that strive to implement rigorous data access policies within their Hadoop environments, ensuring robust protection of sensitive information. This capability not only fosters compliance with regulatory standards but also instills greater confidence in data management practices.

Media

Media

Integrations Supported

Hadoop
Acquia CDP
Apache Hive
Apache Spark
Codecov
Compyl
Galileo
Hue
IBM Cloud Object Storage
Indent
MINT
Nextbase
PathPilot
RadiantOne
Resmo
Small Hours
SpendHound
Switch Automation
TaskCall
Zenduty

Integrations Supported

Hadoop
Acquia CDP
Apache Hive
Apache Spark
Codecov
Compyl
Galileo
Hue
IBM Cloud Object Storage
Indent
MINT
Nextbase
PathPilot
RadiantOne
Resmo
Small Hours
SpendHound
Switch Automation
TaskCall
Zenduty

API Availability

Has API

API Availability

Has API

Pricing Information

$0.014 per hour
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/analytics-engine

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

sentry.apache.org

Categories and 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

Categories and Features

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