Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Oracle's AutoVue Enterprise Visualization solutions are tailored to meet the contemporary challenges of information sharing and collaboration. By utilizing Oracle AutoVue applications, businesses can revolutionize their operations through a unified visualization platform that allows for the viewing, printing, and secure collaboration on a wide array of document types, encompassing everything from back office paperwork to sophisticated engineering files such as MCAD and ECAD. This innovative enterprise visualization tool not only accelerates product market introduction but also enhances decision-making processes and boosts both revenue and profitability. Moreover, Oracle's AutoVue Integrations provide a comprehensive framework that liberates digital documents and assets, ensuring accessibility for all enterprise users within the organization. Additionally, Oracle's AutoVue for Agile Solutions facilitates visual decision-making throughout the product lifecycle, streamlining the entire process from design to manufacturing, thus ensuring greater efficiency and effectiveness in operations. Overall, the implementation of Oracle's AutoVue solutions can significantly elevate a company's collaborative capabilities and operational performance.
Description
A data lakehouse represents a contemporary, open architecture designed for storing, comprehending, and analyzing comprehensive data sets. It merges the robust capabilities of traditional data warehouses with the extensive flexibility offered by widely used open-source data technologies available today. Constructing a data lakehouse can be accomplished on Oracle Cloud Infrastructure (OCI), allowing seamless integration with cutting-edge AI frameworks and pre-configured AI services such as Oracle’s language processing capabilities. With Data Flow, a serverless Spark service, users can concentrate on their Spark workloads without needing to manage underlying infrastructure. Many Oracle clients aim to develop sophisticated analytics powered by machine learning, applied to their Oracle SaaS data or other SaaS data sources. Furthermore, our user-friendly data integration connectors streamline the process of establishing a lakehouse, facilitating thorough analysis of all data in conjunction with your SaaS data and significantly accelerating the time to achieve solutions. This innovative approach not only optimizes data management but also enhances analytical capabilities for businesses looking to leverage their data effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
NLSQL
No
Pricing Details
$115 one-time payment
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
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
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/applications/autovue/
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-lakehouse/
Product Features
Data Visualization
Analytics
No
Content Management
Yes
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Document Collaboration
Access Control / Permissions
No
Autosave
No
Chat / Messaging
No
Cloud Storage
No
Comments / Annotations
No
Edit / Change Tracking
No
Electronic Signature
No
Multiple File Formats
No
Pre-made Templates
No
Search
No
User Tagging
No
Version Control
No
Workflow / Approval Process
No
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No