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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 Oracle Big Data Discovery?

Oracle Big Data Discovery stands out as a highly visual and intuitive tool that leverages Hadoop's capabilities, transforming raw data into actionable insights for businesses in mere minutes, thus negating the need for extensive tool mastery or reliance on specialized experts. This innovative solution allows users to easily pinpoint relevant data sets within Hadoop, quickly explore the data to understand its significance, improve its quality through enhancement and refinement, analyze it for fresh insights, and disseminate findings while effortlessly reintegrating into Hadoop for organization-wide applications. By establishing BDD as the foundational element of your data lab, your organization can foster a unified environment for examining and navigating diverse data sources within Hadoop, which streamlines the development of projects and applications. Unlike traditional analytics platforms, BDD opens the door for a wider audience to interact with big data, drastically cutting down the duration required for data loading and updates, hence enabling teams to focus on significant data analysis and exploration. This transition not only boosts productivity but also democratizes data access, enabling a greater number of individuals to participate in data-driven decision-making processes, ultimately leading to improved outcomes for the organization. Furthermore, by empowering users across various skill levels, BDD cultivates a culture of collaboration and innovation in data utilization, fostering an environment where insights can be rapidly derived and acted upon.

Media

Media

Integrations Supported

Hadoop
Acquia CDP
Altair Compose
Apache Spark
Commvault HyperScale X
Grafana Cloud
IBM Cloud Object Storage
MINT
Microsoft Azure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
Switch Automation
VMware Cloud
VMware Tanzu CloudHealth
ZARUS

Integrations Supported

Hadoop
Acquia CDP
Altair Compose
Apache Spark
Commvault HyperScale X
Grafana Cloud
IBM Cloud Object Storage
MINT
Microsoft Azure
PagerDuty
Palo Alto Networks Strata
RackWare
Scoop Analytics
Siemens Opcenter APS
Switch Automation
VMware Cloud
VMware Tanzu CloudHealth
ZARUS

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

Oracle

Date Founded

1977

Company Location

United States

Company Website

www.oracle.com/middleware/technologies/big-data-discovery.html

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

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

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