Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Oracle Autonomous Data Warehouse is a cloud-based data warehousing solution designed to remove the intricate challenges associated with managing a data warehouse, including cloud operations, data security, and the creation of data-centric applications. This service automates essential processes such as provisioning, configuration, security measures, tuning, scaling, and data backup, streamlining the overall experience. Additionally, it features self-service tools for data loading, transformation, and business modeling, along with automatic insights and integrated converged database functionalities that simplify queries across diverse data formats and facilitate machine learning analyses. Available through both the Oracle public cloud and the Oracle Cloud@Customer within client data centers, it offers flexibility to organizations. Industry analysis by experts from DSC highlights the advantages of Oracle Autonomous Data Warehouse, suggesting it is the preferred choice for numerous global enterprises. Furthermore, there are various applications and tools that work seamlessly with the Autonomous Data Warehouse, enhancing its usability and effectiveness.
Description
Oracle Cloud CX, built on a cutting-edge cloud platform that utilizes best practices and innovative technologies, provides tools that are user-friendly for business staff while being robust enough for developers to enhance further. The suite of Oracle CX applications is both groundbreaking and adaptable, ensuring reliable performance and security for its users. By adopting a data-centric strategy, Oracle Cloud CX effectively links customer behaviors, transactions, and demographic information across various sectors, including marketing, sales, and service, to craft tailored experiences for each user. With over four decades of expertise, Oracle has assisted clients in effectively managing, safeguarding, and leveraging their data for business benefits. Data is integral to our identity. The platform allows businesses to create, share, and distribute meaningful content and offers, enabling the personalization of customer interactions. Additionally, Oracle Content Management serves as a centralized hub for all enterprise assets, such as invoices, marketing materials, company documents, images, and videos, streamlining management and access to crucial content across the organization. This comprehensive approach not only enhances operational efficiency but also fosters stronger connections with customers.
API Access
Has API
API Access
Has API
Integrations
Progress DataDirect
Ada
FloorManager
Immuta
Mayday
Multipass
MySQL Workbench
NetApp Cloud Insights
NiCE CXone Mpower
OnScreen
Integrations
Progress DataDirect
Ada
FloorManager
Immuta
Mayday
Multipass
MySQL Workbench
NetApp Cloud Insights
NiCE CXone Mpower
OnScreen
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/autonomous-database/autonomous-data-warehouse/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/cx/platform/
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Product Features
Customer Experience
Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis